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Volumn 102, Issue 9, 2014, Pages 1367-1388

Neuromorphic electronic circuits for building autonomous cognitive systems

Author keywords

Cognitive systems; learning systems; neuromorphic engineering; real time neuromorphic systems; spike timing dependent plasticity (STDP); spiking neural network architecture; subthreshold analog circuits; very large scale integration (VLSI); winner take all (WTA)

Indexed keywords

COMPUTER ARCHITECTURE; DECISION MAKING; LEARNING SYSTEMS; NETWORK ARCHITECTURE; NEURONS; REAL TIME SYSTEMS; RECURRENT NEURAL NETWORKS; TIMING CIRCUITS; VLSI CIRCUITS;

EID: 84906780089     PISSN: 00189219     EISSN: None     Source Type: Journal    
DOI: 10.1109/JPROC.2014.2313954     Document Type: Article
Times cited : (473)

References (178)
  • 3
    • 35948993879 scopus 로고    scopus 로고
    • Neurotech for neuroscience: Unifying concepts, organizing principles, and emerging tools
    • DOI 10.1523/JNEUROSCI.3575-07.2007
    • R. Silver, K. Boahen, S. Grillner, N. Kopell, and K. Olsen, "Neurotech for neuroscience: Unifying concepts, organizing principles, emerging tools," J. Neurosci., vol. 27, no. 44, pp. 11807-11819, 2007. (Pubitemid 350072090)
    • (2007) Journal of Neuroscience , vol.27 , Issue.44 , pp. 11807-11819
    • Silver, R.1    Boahen, K.2    Grillner, S.3    Kopell, N.4    Olsen, K.L.5
  • 4
    • 84865738589 scopus 로고    scopus 로고
    • VLSI circuits implementing computational models of neocortical circuits
    • J. Wijekoon and P. Dudek, "VLSI circuits implementing computational models of neocortical circuits," J. Neurosci. Methods, vol. 210, no. 1, pp. 93-109, 2012.
    • (2012) J. Neurosci. Methods , vol.210 , Issue.1 , pp. 93-109
    • Wijekoon, J.1    Dudek, P.2
  • 5
    • 84880790004 scopus 로고    scopus 로고
    • Computing with networks of spiking neurons on a biophysically motivated floating-gate based neuromorphic integrated circuit
    • Sep.
    • S. Brink, S. Nease, and P. Hasler, "Computing with networks of spiking neurons on a biophysically motivated floating-gate based neuromorphic integrated circuit," Neural Netw., vol. 45, pp. 39-49, Sep. 2013.
    • (2013) Neural Netw. , vol.45 , pp. 39-49
    • Brink, S.1    Nease, S.2    Hasler, P.3
  • 8
    • 84883501396 scopus 로고    scopus 로고
    • A scalable neural chip with synaptic electronics using CMOS integrated memristors
    • J. M. Cruz-Albrecht, T. Derosier, and N. Srinivasa, "A scalable neural chip with synaptic electronics using CMOS integrated memristors," Nanotechnology, vol. 24, no. 38, 2013, 384011.
    • (2013) Nanotechnology , vol.24 , Issue.38 , pp. 384011
    • Cruz-Albrecht, J.M.1    Derosier, T.2    Srinivasa, N.3
  • 9
    • 84862187288 scopus 로고    scopus 로고
    • Robust working memory in an asynchronously spiking neural network realized in neuromorphic VLSI
    • DOI: 10.3389/fnins.2011.00149
    • M. Giulioni, P. Camilleri, M. Mattia, V. Dante, J. Braun, and P. Del Giudice, "Robust working memory in an asynchronously spiking neural network realized in neuromorphic VLSI," Front. Neurosci., vol. 5, no. 149, 2012, DOI: 10.3389/fnins.2011.00149.
    • (2012) Front. Neurosci. , vol.5 , Issue.149
    • Giulioni, M.1    Camilleri, P.2    Mattia, M.3    Dante, V.4    Braun, J.5    Del Giudice, P.6
  • 10
    • 84893861508 scopus 로고    scopus 로고
    • A neuromorphic network for generic multivariate data classification
    • M. Schmuker, T. Pfeil, and M. Nawrot, "A neuromorphic network for generic multivariate data classification," Proc. Nat. Acad. Sci. USA, vol. 111, no. 6, pp. 2081-2086, 2014.
    • (2014) Proc. Nat. Acad. Sci. USA , vol.111 , Issue.6 , pp. 2081-2086
    • Schmuker, M.1    Pfeil, T.2    Nawrot, M.3
  • 11
    • 0025507283 scopus 로고
    • Neuromorphic electronic systems
    • Oct.
    • C. Mead, "Neuromorphic electronic systems," Proc. IEEE, vol. 78, no. 10, pp. 1629-1636, Oct. 1990.
    • (1990) Proc. IEEE , vol.78 , Issue.10 , pp. 1629-1636
    • Mead, C.1
  • 14
    • 0032602778 scopus 로고    scopus 로고
    • Analog VLSI-based modeling of the primate oculomotor system
    • Jan.
    • T. Horiuchi and C. Koch, "Analog VLSI-based modeling of the primate oculomotor system," Neural Comput., vol. 11, no. 1, pp. 243-265, Jan. 1999.
    • (1999) Neural Comput. , vol.11 , Issue.1 , pp. 243-265
    • Horiuchi, T.1    Koch, C.2
  • 15
    • 0034685582 scopus 로고    scopus 로고
    • Robotic vision: Neuromorphic vision sensor
    • May
    • G. Indiveri and R. Douglas, "Robotic vision: Neuromorphic vision sensor," Science, vol. 288, pp. 1189-1190, May 2000.
    • (2000) Science , vol.288 , pp. 1189-1190
    • Indiveri, G.1    Douglas, R.2
  • 16
    • 0035505588 scopus 로고    scopus 로고
    • A neuromorphic VLSI device for implementing 2-D selective attention systems
    • DOI 10.1109/72.963780, PII S1045922701095078
    • G. Indiveri, "A neuromorphic VLSI device for implementing 2-D selective attention systems," IEEE Trans. Neural Netw., vol. 12, no. 6, pp. 1455-1463, Nov. 2001. (Pubitemid 33106049)
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.6 , pp. 1455-1463
    • Indiveri, G.1
  • 17
    • 70849137220 scopus 로고    scopus 로고
    • Selective attention in multi-chip address-event systems
    • C. Bartolozzi and G. Indiveri, "Selective attention in multi-chip address-event systems," Sensors, vol. 9, no. 7, pp. 5076-5098, 2009.
    • (2009) Sensors , vol.9 , Issue.7 , pp. 5076-5098
    • Bartolozzi, C.1    Indiveri, G.2
  • 18
    • 0037586881 scopus 로고    scopus 로고
    • An in silico central pattern generator: Silicon oscillator, coupling, entrainment, physical computation and biped mechanism control
    • M. Lewis, R. Etienne-Cummings, M. Hartmann, A. Cohen, and Z. Xu, "An in silico central pattern generator: Silicon oscillator, coupling, entrainment, physical computation and biped mechanism control," Biol. Cybern., vol. 88, no. 2, pp. 137-151, 2003.
    • (2003) Biol. Cybern. , vol.88 , Issue.2 , pp. 137-151
    • Lewis, M.1    Etienne-Cummings, R.2    Hartmann, M.3    Cohen, A.4    Xu, Z.5
  • 23
    • 84880823556 scopus 로고    scopus 로고
    • Design of silicon brains in the nano-CMOS era: Spiking neurons, learning synapses and neural architecture optimization
    • Sep.
    • A. Cassidy, J. Georgiou, and A. Andreou, "Design of silicon brains in the nano-CMOS era: Spiking neurons, learning synapses and neural architecture optimization," Neural Netw., vol. 45, pp. 4-26, Sep. 2013.
    • (2013) Neural Netw. , vol.45 , pp. 4-26
    • Cassidy, A.1    Georgiou, J.2    Andreou, A.3
  • 24
    • 23944472208 scopus 로고    scopus 로고
    • Learning only when necessary: Better memories of correlated patterns in networks with bounded synapses
    • DOI 10.1162/0899766054615644
    • W. Senn and S. Fusi, "Learning only when necessary: Better memories of correlated patterns in networks with bounded synapses," Neural Comput., vol. 17, no. 10, pp. 2106-2138, 2005. (Pubitemid 41199745)
    • (2005) Neural Computation , vol.17 , Issue.10 , pp. 2106-2138
    • Senn, W.1    Fusi, S.2
  • 25
    • 36248934673 scopus 로고    scopus 로고
    • Learning real world stimuli in a neural network with spike-driven synaptic dynamics
    • J. Brader, W. Senn, and S. Fusi, "Learning real world stimuli in a neural network with spike-driven synaptic dynamics," Neural Comput., vol. 19, pp. 2881-2912, 2007.
    • (2007) Neural Comput. , vol.19 , pp. 2881-2912
    • Brader, J.1    Senn, W.2    Fusi, S.3
  • 26
    • 0037566546 scopus 로고    scopus 로고
    • Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks
    • DOI 10.1016/S0896-6273(03)00255-1
    • A. Renart, P. Song, and X.-J. Wang, "Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks," Neuron, vol. 38, pp. 473-485, May 2003. (Pubitemid 36579148)
    • (2003) Neuron , vol.38 , Issue.3 , pp. 473-485
    • Renart, A.1    Song, P.2    Wang, X.-J.3
  • 27
    • 20444400465 scopus 로고    scopus 로고
    • Neurodynamics of biased competition and cooperation for attention: A model with spiking neurons
    • DOI 10.1152/jn.01095.2004
    • G. Deco and E. Rolls, "Neurodynamics of biased competition and cooperation for attention: A model with spiking neurons," J. Neurophysiol., vol. 94, pp. 295-313, 2005. (Pubitemid 40931947)
    • (2005) Journal of Neurophysiology , vol.94 , Issue.1 , pp. 295-313
    • Deco, G.1    Rolls, E.T.2
  • 29
    • 67650295931 scopus 로고    scopus 로고
    • State-dependent computation using coupled recurrent networks
    • U. Rutishauser and R. Douglas, "State-dependent computation using coupled recurrent networks," Neural Comput., vol. 21, pp. 478-509, 2009.
    • (2009) Neural Comput. , vol.21 , pp. 478-509
    • Rutishauser, U.1    Douglas, R.2
  • 30
    • 77954383122 scopus 로고    scopus 로고
    • Attractor concretion as a mechanism for the formation of context representations
    • M. Rigotti, D. B. D. Rubin, S. Morrison, C. Salzman, and S. Fusi, "Attractor concretion as a mechanism for the formation of context representations," NeuroImage, vol. 52, no. 3, pp. 833-847, 2010.
    • (2010) NeuroImage , vol.52 , Issue.3 , pp. 833-847
    • Rigotti, M.1    Rubin, D.B.D.2    Morrison, S.3    Salzman, C.4    Fusi, S.5
  • 31
    • 83755195671 scopus 로고    scopus 로고
    • A biophysically-based neuromorphic model of spike rate-and timing-dependent plasticity
    • Dec.
    • G. Rachmuth, Z. Shouval, M. Bear, and C.-S. Poon, "A biophysically-based neuromorphic model of spike rate-and timing-dependent plasticity," Proc. Nat. Acad. Sci. USA, vol. 108, no. 49, pp. E1266-E1274, Dec. 2011.
    • (2011) Proc. Nat. Acad. Sci. USA , vol.108 , Issue.49
    • Rachmuth, G.1    Shouval, Z.2    Bear, M.3    Poon, C.-S.4
  • 32
    • 40849083456 scopus 로고    scopus 로고
    • Compact silicon neuron circuit with spiking and bursting behaviour
    • Mar.-Apr.
    • J. Wijekoon and P. Dudek, "Compact silicon neuron circuit with spiking and bursting behaviour," Neural Netw., vol. 21, no. 2-3, pp. 524-534, Mar.-Apr. 2008.
    • (2008) Neural Netw. , vol.21 , Issue.2-3 , pp. 524-534
    • Wijekoon, J.1    Dudek, P.2
  • 35
    • 0032659048 scopus 로고    scopus 로고
    • 'Log-domain state-space': A systematic transistor-level approach for log-domain filtering
    • Mar.
    • E. Drakakis, A. Payne, and C. Toumazou, "'Log-domain state-space': A systematic transistor-level approach for log-domain filtering," IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., vol. 46, no. 3, pp. 290-305, Mar. 1999.
    • (1999) IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process. , vol.46 , Issue.3 , pp. 290-305
    • Drakakis, E.1    Payne, A.2    Toumazou, C.3
  • 38
    • 77956000847 scopus 로고    scopus 로고
    • Log-domain time-multiplexed realization of dynamical conductance-based synapses
    • Jun.
    • T. Yu and G. Cauwenberghs, "Log-domain time-multiplexed realization of dynamical conductance-based synapses," in Proc. IEEE Int. Symp. Circuits Syst., Jun. 2010, pp. 2558-2561.
    • (2010) Proc. IEEE Int. Symp. Circuits Syst. , pp. 2558-2561
    • Yu, T.1    Cauwenberghs, G.2
  • 39
    • 77955995884 scopus 로고    scopus 로고
    • Synthesis of log-domain integrators for silicon synapses with global parametric control
    • S. Mitra, G. Indiveri, and R. Etienne-Cummings, "Synthesis of log-domain integrators for silicon synapses with global parametric control," in Proc. IEEE Int. Symp. Circuits Syst., 2010, pp. 97-100.
    • (2010) Proc. IEEE Int. Symp. Circuits Syst. , pp. 97-100
    • Mitra, S.1    Indiveri, G.2    Etienne-Cummings, R.3
  • 41
    • 34548821852 scopus 로고    scopus 로고
    • Synaptic dynamics in analog VLSI
    • Oct.
    • C. Bartolozzi and G. Indiveri, "Synaptic dynamics in analog VLSI," Neural Comput., vol. 19, no. 10, pp. 2581-2603, Oct. 2007.
    • (2007) Neural Comput. , vol.19 , Issue.10 , pp. 2581-2603
    • Bartolozzi, C.1    Indiveri, G.2
  • 42
    • 52949128757 scopus 로고    scopus 로고
    • An ultra low power current-mode filter for neuromorphic systems and biomedical signal processing
    • C. Bartolozzi, S. Mitra, and G. Indiveri, "An ultra low power current-mode filter for neuromorphic systems and biomedical signal processing," in Proc. IEEE Biomed. Circuits Syst. Conf., 2006, pp. 130-133.
    • (2006) Proc. IEEE Biomed. Circuits Syst. Conf. , pp. 130-133
    • Bartolozzi, C.1    Mitra, S.2    Indiveri, G.3
  • 43
    • 10844253861 scopus 로고    scopus 로고
    • Recurrently connected silicon neurons with active dendrites for one-shot learning
    • 2004 IEEE International Joint Conference on Neural Networks - Proceedings
    • J. Arthur and K. Boahen, "Recurrently connected silicon neurons with active dendrites for one-shot learning," in Proc. IEEE Int. Joint Conf. Neural Netw., Jul. 2004, vol. 3, pp. 1699-1704. (Pubitemid 40006516)
    • (2004) IEEE International Conference on Neural Networks - Conference Proceedings , vol.3 , pp. 1699-1704
    • Arthur, J.V.1    Boahen, K.2
  • 44
    • 0038489327 scopus 로고    scopus 로고
    • The tau-cell: A new method for the implementation of arbitrary differential equations
    • A. van Schaik and C. Jin, "The tau-cell: A new method for the implementation of arbitrary differential equations," in Proc. IEEE Int. Symp. Circuits Syst., 2003, pp. 569-572.
    • (2003) Proc. IEEE Int. Symp. Circuits Syst. , pp. 569-572
    • Van Schaik, A.1    Jin, C.2
  • 45
    • 0030100610 scopus 로고    scopus 로고
    • Translinear circuits: An historical review
    • Mar.
    • B. Gilbert, "Translinear circuits: An historical review," Analog Integr. Circuits Signal Process., vol. 9, no. 2, pp. 95-118, Mar. 1996.
    • (1996) Analog Integr. Circuits Signal Process. , vol.9 , Issue.2 , pp. 95-118
    • Gilbert, B.1
  • 46
    • 36348982825 scopus 로고    scopus 로고
    • Synchrony in silicon: The gamma rhythm
    • DOI 10.1109/TNN.2007.900238
    • J. Arthur and K. Boahen, "Synchrony in silicon: The gamma rhythm," IEEE Trans. Neural Netw., vol. 18, no. 6, pp. 1815-1825, Nov. 2007. (Pubitemid 350148429)
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.6 , pp. 1815-1825
    • Arthur, J.V.1    Boahen, K.A.2
  • 49
    • 77956001893 scopus 로고    scopus 로고
    • Spike-based learning with a generalized integrate and fire silicon neuron
    • G. Indiveri, F. Stefanini, and E. Chicca, "Spike-based learning with a generalized integrate and fire silicon neuron," in Proc. IEEE Int. Symp. Circuits Syst., 2010, pp. 1951-1954.
    • (2010) Proc. IEEE Int. Symp. Circuits Syst. , pp. 1951-1954
    • Indiveri, G.1    Stefanini, F.2    Chicca, E.3
  • 50
    • 0026428014 scopus 로고
    • A silicon neuron
    • M. Mahowald and R. Douglas, "A silicon neuron," Nature, vol. 354, pp. 515-518, 1991. (Pubitemid 21896829)
    • (1991) Nature , vol.354 , Issue.6354 , pp. 515-518
    • Mahowald, M.1    Douglas, R.2
  • 52
    • 2542436962 scopus 로고    scopus 로고
    • Hardware computation of conductance-based neuron models
    • DOI 10.1016/j.neucom.2004.01.030, PII S0925231204000256
    • L. Alvado, J. Tomas, S. Säighi, S. Renaud, T. Bal, A. Destexhe, and G. Le Masson, "Hardware computation of conductance-based neuron models," Neurocomputing, vol. 58-60, pp. 109-115, 2004. (Pubitemid 38684263)
    • (2004) Neurocomputing , vol.58-60 , pp. 109-115
    • Alvado, L.1    Tomas, J.2    Saighi, S.3    Renaud, S.4    Bal, T.5    Destexhe, A.6    Le Masson, G.7
  • 54
    • 77952918913 scopus 로고    scopus 로고
    • Analog VLSI biophysical neurons and synapses with programmable membrane channel kinetics
    • Jun.
    • T. Yu and G. Cauwenberghs, "Analog VLSI biophysical neurons and synapses with programmable membrane channel kinetics," IEEE Trans. Biomed. Circuits Syst., vol. 4, no. 3, pp. 139-148, Jun. 2010.
    • (2010) IEEE Trans. Biomed. Circuits Syst. , vol.4 , Issue.3 , pp. 139-148
    • Yu, T.1    Cauwenberghs, G.2
  • 55
    • 0742268989 scopus 로고    scopus 로고
    • Simple model of spiking neurons
    • Nov.
    • E. Izhikevich, "Simple model of spiking neurons," IEEE Trans. Neural Netw., vol. 14, no. 6, pp. 1569-1572, Nov. 2003.
    • (2003) IEEE Trans. Neural Netw. , vol.14 , Issue.6 , pp. 1569-1572
    • Izhikevich, E.1
  • 56
    • 27144498986 scopus 로고    scopus 로고
    • Adaptive exponential integrate-and-fire model as an effective description of neuronal activity
    • DOI 10.1152/jn.00686.2005
    • R. Brette and W. Gerstner, "Adaptive exponential integrate-and-fire model as an effective description of neuronal activity," J. Neurophysiol., vol. 94, pp. 3637-3642, 2005. (Pubitemid 41504797)
    • (2005) Journal of Neurophysiology , vol.94 , Issue.5 , pp. 3637-3642
    • Brette, R.1    Gerstner, W.2
  • 57
    • 63249097213 scopus 로고    scopus 로고
    • A generalized linear integrate-and-fire neural model produces diverse spiking behavior
    • S. Mihalas and E. Niebur, "A generalized linear integrate-and-fire neural model produces diverse spiking behavior," Neural Comput., vol. 21, pp. 704-718, 2009.
    • (2009) Neural Comput. , vol.21 , pp. 704-718
    • Mihalas, S.1    Niebur, E.2
  • 59
    • 70350173824 scopus 로고    scopus 로고
    • A current-mode conductance-based silicon neuron for address-event neuromorphic systems
    • May
    • P. Livi and G. Indiveri, "A current-mode conductance-based silicon neuron for address-event neuromorphic systems," in Proc. IEEE Int. Symp. Circuits Syst., May 2009, pp. 2898-2901.
    • (2009) Proc. IEEE Int. Symp. Circuits Syst. , pp. 2898-2901
    • Livi, P.1    Indiveri, G.2
  • 60
    • 0020375368 scopus 로고
    • Electrophysiological properties of neocortical neurons in vitro
    • B. Connors, M. Gutnick, and D. Prince, "Electrophysiological properties of neocortical neurons in vitro," J. Neurophysiol., vol. 48, no. 6, pp. 1302-1320, 1982. (Pubitemid 13224459)
    • (1982) Journal of Neurophysiology , vol.48 , Issue.6 , pp. 1302-1320
    • Connors, B.W.1    Gutnick, M.J.2    Prince, D.A.3
  • 61
    • 3142666109 scopus 로고    scopus 로고
    • Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy
    • DOI 10.1152/jn.00190.2004
    • R. Jolivet, T. Lewis, and W. Gerstner, "Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy," J. Neurophysiol., vol. 92, pp. 959-976, 2004. (Pubitemid 38931960)
    • (2004) Journal of Neurophysiology , vol.92 , Issue.2 , pp. 959-976
    • Jolivet, R.1    Lewis, T.J.2    Gerstner, W.3
  • 62
    • 39149096545 scopus 로고    scopus 로고
    • Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces
    • DOI 10.1152/jn.01107.2007
    • L. Badel, S. Lefort, R. Brette, C. C. Petersen, W. Gerstner, and M. J. Richardson, "Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces," J. Neurophysiol., vol. 99, pp. 656-666, 2008. (Pubitemid 351253226)
    • (2008) Journal of Neurophysiology , vol.99 , Issue.2 , pp. 656-666
    • Badel, L.1    Lefort, S.2    Brette, R.3    Petersen, C.C.H.4    Gerstner, W.5    Richardson, M.J.E.6
  • 64
    • 0034143330 scopus 로고    scopus 로고
    • Decoding temporal information: A model based on short-term synaptic plasticity
    • D. Buonomano, "Decoding temporal information: A model based on short-term synaptic plasticity," J. Neurosci., vol. 20, pp. 1129-1141, 2000. (Pubitemid 30220470)
    • (2000) Journal of Neuroscience , vol.20 , Issue.3 , pp. 1129-1141
    • Buonomano, D.V.1
  • 65
    • 0036201201 scopus 로고    scopus 로고
    • Short-term synaptic plasticity
    • DOI 10.1146/annurev.physiol.64.092501.114547
    • R. Zucker and W. Regehr, "Short-term synaptic plasticity," Annu. Rev. Physiol., vol. 64, pp. 355-405, 2002. (Pubitemid 34259234)
    • (2002) Annual Review of Physiology , vol.64 , pp. 355-405
    • Zucker, R.S.1    Regehr, W.G.2
  • 66
    • 0035219552 scopus 로고    scopus 로고
    • Silicon synaptic depression
    • DOI 10.1007/s004220170004
    • C. Rasche and R. Hahnloser, "Silicon synaptic depression," Biol. Cybern., vol. 84, no. 1, pp. 57-62, 2001. (Pubitemid 33605160)
    • (2001) Biological Cybernetics , vol.84 , Issue.1 , pp. 57-62
    • Rasche, C.1    Hahnloser, R.H.R.2
  • 67
    • 0037315364 scopus 로고    scopus 로고
    • Modeling short-term syrtaptic depression in silicon
    • DOI 10.1162/089976603762552942
    • M. Boegerhausen, P. Suter, and S.-C. Liu, "Modeling short-term synaptic depression in silicon," Neural Comput., vol. 15, no. 2, pp. 331-348, Feb. 2003. (Pubitemid 37049824)
    • (2003) Neural Computation , vol.15 , Issue.2 , pp. 331-348
    • Boegerhausen, M.1    Suter, P.2    Liu, S.-C.3
  • 68
    • 79955749812 scopus 로고    scopus 로고
    • Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticity
    • DOI: 10.3389/fncom.2010.00129
    • J. Bill, K. Schuch, D. Brüderle, J. Schemmel, W. Maass, and K. Meier, "Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticity," Front. Comput. Neurosci., vol. 4, 2010, DOI: 10.3389/fncom.2010.00129.
    • (2010) Front. Comput. Neurosci. , vol.4
    • Bill, J.1    Schuch, K.2    Brüderle, D.3    Schemmel, J.4    Maass, W.5    Meier, K.6
  • 70
    • 79960642436 scopus 로고    scopus 로고
    • Short-term plasticity and long-term potentiation mimicked in single inorganic synapses
    • T. Ohno, T. Hasegawa, T. Tsuruoka, K. Terabe, J. K. Gimzewski, and M. Aono, "Short-term plasticity and long-term potentiation mimicked in single inorganic synapses," Nature Mater., vol. 10, no. 8, pp. 591-595, 2011.
    • (2011) Nature Mater , vol.10 , Issue.8 , pp. 591-595
    • Ohno, T.1    Hasegawa, T.2    Tsuruoka, T.3    Terabe, K.4    Gimzewski, J.K.5    Aono, M.6
  • 71
    • 84875112887 scopus 로고    scopus 로고
    • Silicon-based dynamic synapse with depressing response
    • Oct.
    • T. Dowrick, S. Hall, and L. Mcdaid, "Silicon-based dynamic synapse with depressing response," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 10, pp. 1513-1525, Oct. 2012.
    • (2012) IEEE Trans. Neural Netw. Learn. Syst. , vol.23 , Issue.10 , pp. 1513-1525
    • Dowrick, T.1    Hall, S.2    McDaid, L.3
  • 72
    • 0031024005 scopus 로고    scopus 로고
    • Synaptic depression and cortical gain control
    • L. Abbott, K. Sen, J. Varela, and S. Nelson, "Synaptic depression and cortical gain control," Science, vol. 275, no. 5297, pp. 220-223, 1997.
    • (1997) Science , vol.275 , Issue.5297 , pp. 220-223
    • Abbott, L.1    Sen, K.2    Varela, J.3    Nelson, S.4
  • 74
    • 0032567928 scopus 로고    scopus 로고
    • Activity-dependent scaling of quantal amplitude in neocortical neurons
    • DOI 10.1038/36103
    • G. Turrigiano, K. Leslie, N. Desai, L. Rutherford, and S. Nelson, "Activity-dependent scaling of quantal amplitude in neocortical neurons," Nature, vol. 391, pp. 892-896, Feb. 1998. (Pubitemid 28157666)
    • (1998) Nature , vol.391 , Issue.6670 , pp. 892-896
    • Turrigiano, G.G.1    Leslie, K.R.2    Desai, N.S.3    Rutherford, L.C.4    Nelson, S.B.5
  • 75
    • 58149464971 scopus 로고    scopus 로고
    • Global scaling of synaptic efficacy: Homeostasis in silicon synapses
    • Jan.
    • C. Bartolozzi and G. Indiveri, "Global scaling of synaptic efficacy: Homeostasis in silicon synapses," Neurocomputing, vol. 72, no. 4-6, pp. 726-731, Jan. 2009.
    • (2009) Neurocomputing , vol.72 , Issue.4-6 , pp. 726-731
    • Bartolozzi, C.1    Indiveri, G.2
  • 76
    • 0033667165 scopus 로고    scopus 로고
    • Synaptic plasticity: Taming the beast
    • Nov.
    • L. Abbott and S. Nelson, "Synaptic plasticity: Taming the beast," Nature Neurosci., vol. 3, pp. 1178-1183, Nov. 2000.
    • (2000) Nature Neurosci. , vol.3 , pp. 1178-1183
    • Abbott, L.1    Nelson, S.2
  • 77
    • 0038927224 scopus 로고
    • Constraints on learning in dynamic synapses
    • D. Amit and S. Fusi, "Constraints on learning in dynamic synapses," Network, Comput. Neural Syst., vol. 3, no. 4, pp. 443-464, 1992.
    • (1992) Network, Comput. Neural Syst. , vol.3 , Issue.4 , pp. 443-464
    • Amit, D.1    Fusi, S.2
  • 78
    • 33947631984 scopus 로고    scopus 로고
    • Limits on the memory storage capacity of bounded synapses
    • DOI 10.1038/nn1859, PII NN1859
    • S. Fusi and L. Abbott, "Limits on the memory storage capacity of bounded synapses," Nature Neurosci., vol. 10, pp. 485-493, 2007. (Pubitemid 46494580)
    • (2007) Nature Neuroscience , vol.10 , Issue.4 , pp. 485-493
    • Fusi, S.1    Abbott, L.F.2
  • 80
    • 0022711705 scopus 로고
    • Networks of formal neurons and memory palimpsests
    • DOI: 10.1209/0295-5075/1/10/008
    • J. Nadal, G. Toulouse, J. Changeux, and S. Dehaen, "Networks of formal neurons and memory palimpsests," Europhys. Lett., vol. 1, no. 10, 1986, DOI: 10.1209/0295-5075/1/10/008.
    • (1986) Europhys. Lett. , vol.1 , Issue.10
    • Nadal, J.1    Toulouse, G.2    Changeux, J.3    Dehaen, S.4
  • 81
    • 0001101723 scopus 로고
    • Learning in neural networks with material synapses
    • D. J. Amit and S. Fusi, "Learning in neural networks with material synapses," Neural Comput., vol. 6, no. 5, pp. 957-982, 1994.
    • (1994) Neural Comput. , vol.6 , Issue.5 , pp. 957-982
    • Amit, D.J.1    Fusi, S.2
  • 82
    • 0040669525 scopus 로고    scopus 로고
    • Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates
    • DOI 10.1007/s00422-002-0356-8
    • S. Fusi, "Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates," Biol. Cybern., vol. 87, pp. 459-470, 2002. (Pubitemid 135689606)
    • (2002) Biological Cybernetics , vol.87 , Issue.5-6 , pp. 459-470
    • Fusi, S.1
  • 83
    • 0034293117 scopus 로고    scopus 로고
    • Spike-driven synaptic plasticity: Theory, simulation, VLSI implementation
    • S. Fusi, M. Annunziato, D. Badoni, A. Salamon, and D. Amit, "Spike-driven synaptic plasticity: Theory, simulation, VLSI implementation," Neural Comput., vol. 12, pp. 2227-2258, 2000.
    • (2000) Neural Comput. , vol.12 , pp. 2227-2258
    • Fusi, S.1    Annunziato, M.2    Badoni, D.3    Salamon, A.4    Amit, D.5
  • 84
    • 0040783559 scopus 로고    scopus 로고
    • Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons
    • E. Chicca and S. Fusi, "Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons," in Proc. World Congr. Neuroinf., F. Rattay, Ed., 2001, pp. 468-477.
    • (2001) Proc. World Congr. Neuroinf., F. Rattay, Ed. , pp. 468-477
    • Chicca, E.1    Fusi, S.2
  • 85
    • 60149108117 scopus 로고    scopus 로고
    • Real-time classification of complex patterns using spike-based learning in neuromorphic VLSI
    • Feb.
    • S. Mitra, S. Fusi, and G. Indiveri, "Real-time classification of complex patterns using spike-based learning in neuromorphic VLSI," IEEE Trans. Biomed. Circuits Syst., vol. 3, no. 1, pp. 32-42, Feb. 2009.
    • (2009) IEEE Trans. Biomed. Circuits Syst. , vol.3 , Issue.1 , pp. 32-42
    • Mitra, S.1    Fusi, S.2    Indiveri, G.3
  • 87
    • 84862183463 scopus 로고    scopus 로고
    • Emergent auditory feature tuning in a real-time neuromorphic VLSI system
    • DOI: 10. 3389/fnins.2012.00017
    • S. Sheik, M. Coath, G. Indiveri, S. L. Denham, T. Wennekers, and E. Chicca, "Emergent auditory feature tuning in a real-time neuromorphic VLSI system," Front. Neurosci., vol. 6, no. 17, 2012, DOI: 10. 3389/fnins.2012.00017.
    • (2012) Front. Neurosci. , vol.6 , Issue.17
    • Sheik, S.1    Coath, M.2    Indiveri, G.3    Denham, S.L.4    Wennekers, T.5    Chicca, E.6
  • 88
    • 77953735451 scopus 로고    scopus 로고
    • Classification of correlated patterns with a configurable analog VLSI neural network of spiking neurons and self-regulating plastic synapses
    • M. Giulioni, M. Pannunzi, D. Badoni, V. Dante, and P. Del Giudice, "Classification of correlated patterns with a configurable analog VLSI neural network of spiking neurons and self-regulating plastic synapses," Neural Comput., vol. 21, no. 11, pp. 3106-3129, 2009.
    • (2009) Neural Comput. , vol.21 , Issue.11 , pp. 3106-3129
    • Giulioni, M.1    Pannunzi, M.2    Badoni, D.3    Dante, V.4    Del Giudice, P.5
  • 89
    • 33244465845 scopus 로고    scopus 로고
    • A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity
    • DOI 10.1109/TNN.2005.860850
    • G. Indiveri, E. Chicca, and R. Douglas, "A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity," IEEE Trans. Neural Netw., vol. 17, no. 1, pp. 211-221, Jan. 2006. (Pubitemid 43272460)
    • (2006) IEEE Transactions on Neural Networks , vol.17 , Issue.1 , pp. 211-221
    • Indiveri, G.1    Chicca, E.2    Douglas, R.3
  • 90
    • 4644246168 scopus 로고    scopus 로고
    • Synchrony detection and amplification by silicon neurons with STDP synapses
    • Sep.
    • A. Bofill-i-Petit and A. Murray, "Synchrony detection and amplification by silicon neurons with STDP synapses," IEEE Trans. Neural Netw., vol. 15, no. 5, pp. 1296-1304, Sep. 2004.
    • (2004) IEEE Trans. Neural Netw. , vol.15 , Issue.5 , pp. 1296-1304
    • Bofill-I-Petit, A.1    Murray, A.2
  • 91
    • 84898994882 scopus 로고    scopus 로고
    • A spike based learning neuron in analog VLSI
    • M. Mozer, M. Jordan, and T. Petsche, Eds. Cambridge, MA, USA: MIT Press
    • P. Häfliger, M. Mahowald, and L. Watts, "A spike based learning neuron in analog VLSI," in Advances in Neural Information Processing Systems, vol. 9, M. Mozer, M. Jordan, and T. Petsche, Eds. Cambridge, MA, USA: MIT Press, 1997, pp. 692-698.
    • (1997) Advances in Neural Information Processing Systems , vol.9 , pp. 692-698
    • Häfliger, P.1    Mahowald, M.2    Watts, L.3
  • 92
    • 84880835986 scopus 로고    scopus 로고
    • A neuromorphic VLSI design for spike timing and rate based synaptic plasticity
    • M. R. Azghadi, S. Al-Sarawi, D. Abbott, and N. Iannella, "A neuromorphic VLSI design for spike timing and rate based synaptic plasticity," Neural Netw., vol. 45, pp. 70-82, 2013.
    • (2013) Neural Netw. , vol.45 , pp. 70-82
    • Azghadi, M.R.1    Al-Sarawi, S.2    Abbott, D.3    Iannella, N.4
  • 93
    • 33846099276 scopus 로고    scopus 로고
    • Learning in silicon: Timing is everything
    • Y. Weiss, B. Schölkopf, and J. Platt, Eds. Cambridge, MA, USA: MIT Press
    • J. Arthur and K. Boahen, "Learning in silicon: Timing is everything," in Advances in Neural Information Processing Systems 18, Y. Weiss, B. Schölkopf, and J. Platt, Eds. Cambridge, MA, USA: MIT Press, 2006.
    • (2006) Advances in Neural Information Processing Systems , vol.18
    • Arthur, J.1    Boahen, K.2
  • 94
    • 33344478663 scopus 로고    scopus 로고
    • The tempotron: A neuron that learns spike timing-based decisions
    • DOI 10.1038/nn1643
    • R. Gütig and H. Sompolinsky, "The tempotron: A neuron that learns spike timing-based decisions," Nature Neurosci., vol. 9, pp. 420-428, 2006. (Pubitemid 43290972)
    • (2006) Nature Neuroscience , vol.9 , Issue.3 , pp. 420-428
    • Gutig, R.1    Sompolinsky, H.2
  • 95
    • 0012173905 scopus 로고    scopus 로고
    • Beyond spike timing: The role of nonlinear plasticity and unreliable synapses
    • DOI 10.1007/s00422-002-0350-1
    • W. Senn, "Beyond spike timing: The role of nonlinear plasticity and unreliable synapses," Biol. Cybern., vol. 87, pp. 344-355, 2002. (Pubitemid 135689596)
    • (2002) Biological Cybernetics , vol.87 , Issue.5-6 , pp. 344-355
    • Senn, W.1
  • 96
    • 24944517723 scopus 로고    scopus 로고
    • Postsynaptic depolarization requirements for LTP and LTD: A critique of spike timing-dependent plasticity
    • Jul.
    • J. Lisman and N. Spruston, "Postsynaptic depolarization requirements for LTP and LTD: A critique of spike timing-dependent plasticity," Nature Neurosci., vol. 8, no. 7, pp. 839-841, Jul. 2005.
    • (2005) Nature Neurosci. , vol.8 , Issue.7 , pp. 839-841
    • Lisman, J.1    Spruston, N.2
  • 97
    • 84883397026 scopus 로고    scopus 로고
    • Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule
    • Dec.
    • M. Beyeler, N. Dutt, and J. Krichmar, "Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule," Neural Netw., vol. 48, pp. 109-124, Dec. 2013.
    • (2013) Neural Netw. , vol.48 , pp. 109-124
    • Beyeler, M.1    Dutt, N.2    Krichmar, J.3
  • 99
    • 79957876155 scopus 로고    scopus 로고
    • A PCI based high-fanout AER mapper with 2 GiB RAM look-up table, 0.8-s latency and 66 mhz output event-rate
    • Mar.
    • D. Fasnacht and G. Indiveri, "A PCI based high-fanout AER mapper with 2 GiB RAM look-up table, 0.8-s latency and 66 mhz output event-rate," in Proc. Conf. Inf. Sci. Syst., Mar. 2011, pp. 1-6.
    • (2011) Proc. Conf. Inf. Sci. Syst. , pp. 1-6
    • Fasnacht, D.1    Indiveri, G.2
  • 101
    • 51749084209 scopus 로고    scopus 로고
    • A serial communication infrastructure for multi-chip address event system
    • May
    • D. Fasnacht, A. Whatley, and G. Indiveri, "A serial communication infrastructure for multi-chip address event system," in Proc. IEEE Int. Symp. Circuits Syst., May 2008, pp. 648-651.
    • (2008) Proc. IEEE Int. Symp. Circuits Syst. , pp. 648-651
    • Fasnacht, D.1    Whatley, A.2    Indiveri, G.3
  • 104
    • 0142234231 scopus 로고    scopus 로고
    • Retrospective and prospective persistent activity induced by Hebbian learning in a recurrent cortical network
    • DOI 10.1046/j.1460-9568.2003.02908.x
    • G. Mongillo, D. Amit, and N. Brunel, "Retrospective and prospective persistent activity induced by Hebbian learning in a recurrent cortical network," Eur. J. Neurosci., vol. 18, no. 7, pp. 2011-2024, 2003. (Pubitemid 37376428)
    • (2003) European Journal of Neuroscience , vol.18 , Issue.7 , pp. 2011-2024
    • Mongillo, G.1    Amit, D.J.2    Brunel, N.3
  • 105
    • 0000516224 scopus 로고
    • A canonical microcircuit for neocortex
    • R. Douglas, K. Martin, and D. Whitteridge, "A canonical microcircuit for neocortex," Neural Comput., vol. 1, pp. 480-488, 1989.
    • (1989) Neural Comput. , vol.1 , pp. 480-488
    • Douglas, R.1    Martin, K.2    Whitteridge, D.3
  • 106
    • 3943088427 scopus 로고    scopus 로고
    • Neural circuits of the neocortex
    • R. Douglas and K. Martin, "Neural circuits of the neocortex," Annu. Rev. Neurosci., vol. 27, pp. 419-451, 2004.
    • (2004) Annu. Rev. Neurosci. , vol.27 , pp. 419-451
    • Douglas, R.1    Martin, K.2
  • 107
    • 0029093324 scopus 로고
    • Recurrent excitation in neocortical circuits
    • R. Douglas, C. Koch, M. Mahowald, K. Martin, and H. Suarez, "Recurrent excitation in neocortical circuits," Science, vol. 269, pp. 981-985, 1995.
    • (1995) Science , vol.269 , pp. 981-985
    • Douglas, R.1    Koch, C.2    Mahowald, M.3    Martin, K.4    Suarez, H.5
  • 108
    • 34250836009 scopus 로고    scopus 로고
    • Recurrent neuronal circuits in the neocortex
    • DOI 10.1016/j.cub.2007.04.024, PII S0960982207012651
    • R. Douglas and K. Martin, "Recurrent neuronal circuits in the neocortex," Current Biol., vol. 17, no. 13, pp. R496-R500, 2007. (Pubitemid 46990871)
    • (2007) Current Biology , vol.17 , Issue.13
    • Douglas, R.J.1    Martin, K.A.C.2
  • 109
    • 0002433285 scopus 로고    scopus 로고
    • Modeling feature selectivity in local cortical circuits
    • Cambridge, MA, USA: MIT Press
    • D. Hansel and H. Sompolinsky, "Modeling feature selectivity in local cortical circuits," in Methods in Neuronal Modeling. Cambridge, MA, USA: MIT Press, 1998, pp. 499-567.
    • (1998) Methods in Neuronal Modeling , pp. 499-567
    • Hansel, D.1    Sompolinsky, H.2
  • 110
    • 0003088212 scopus 로고
    • Competition and cooperation in neural nets
    • J. Metzler, Ed. New York, NY, USA: Academic
    • S. Amari and M. Arbib, "Competition and cooperation in neural nets," in Systems Neuroscience, J. Metzler, Ed. New York, NY, USA: Academic, 1977, pp. 119-165.
    • (1977) Systems Neuroscience , pp. 119-165
    • Amari, S.1    Arbib, M.2
  • 112
    • 0034702306 scopus 로고    scopus 로고
    • Digital selection and analogue amplification coexist in a cortex- inspired silicon circuit
    • DOI 10.1038/35016072
    • R. Hahnloser, R. Sarpeshkar, M. Mahowald, R. Douglas, and S. Seung, "Digital selection and analog amplification co-exist in an electronic circuit inspired by neocortex," Nature, vol. 405, no. 6789, pp. 947-951, 2000. (Pubitemid 30435050)
    • (2000) Nature , vol.405 , Issue.6789 , pp. 947-951
    • Hahnioser, R.H.R.1    Sarpeshkar, R.2    Mahowald, M.A.3    Douglas, R.J.4    Seung, H.S.5
  • 113
    • 0034321873 scopus 로고    scopus 로고
    • On the computational power of winner-take-all
    • W. Maass, "On the computational power of winner-take-all," Neural Comput., vol. 12, no. 11, pp. 2519-2535, 2000.
    • (2000) Neural Comput. , vol.12 , Issue.11 , pp. 2519-2535
    • Maass, W.1
  • 114
  • 115
    • 0029160319 scopus 로고
    • An emergent model of orientation selectivity in cat visual cortical simple cells
    • D. Somers, S. Nelson, and M. Sur, "An emergent model of orientation selectivity in cat visual cortical simple cells," J. Neurosci., vol. 15, pp. 5448-5465, 1995.
    • (1995) J. Neurosci. , vol.15 , pp. 5448-5465
    • Somers, D.1    Nelson, S.2    Sur, M.3
  • 116
    • 0343237223 scopus 로고
    • Large competitive networks
    • A. Bennett, "Large competitive networks," Network, vol. 1, pp. 449-462, 1990.
    • (1990) Network , vol.1 , pp. 449-462
    • Bennett, A.1
  • 117
    • 79952417495 scopus 로고    scopus 로고
    • Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons
    • B. Schölkopf, J. Platt, and T. Hofmann, Eds. Cambridge, MA, USA: MIT Press, Dec.
    • E. Chicca, G. Indiveri, and R. Douglas, "Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons," in Advances in Neural Information Processing Systems 19, B. Schölkopf, J. Platt, and T. Hofmann, Eds. Cambridge, MA, USA: MIT Press, Dec. 2007, pp. 257-264.
    • (2007) Advances in Neural Information Processing Systems , vol.19 , pp. 257-264
    • Chicca, E.1    Indiveri, G.2    Douglas, R.3
  • 118
    • 0033740171 scopus 로고    scopus 로고
    • Point-to-point connectivity between neuromorphic chips using address-events
    • May
    • K. Boahen, "Point-to-point connectivity between neuromorphic chips using address-events," IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., vol. 47, no. 5, pp. 416-434, May 2000.
    • (2000) IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process. , vol.47 , Issue.5 , pp. 416-434
    • Boahen, K.1
  • 120
    • 84892649178 scopus 로고    scopus 로고
    • A memory-efficient routing method for large-scale spiking neural networks
    • DOI: 10.1109/ECCTD. 2013.6662203
    • S. Moradi, N. Imam, R. Manohar, and G. Indiveri, "A memory-efficient routing method for large-scale spiking neural networks," in Proc. IEEE Eur. Conf. Circuit Theory Design, 2013, DOI: 10.1109/ECCTD. 2013.6662203.
    • (2013) Proc. IEEE Eur. Conf. Circuit Theory Design
    • Moradi, S.1    Imam, N.2    Manohar, R.3    Indiveri, G.4
  • 121
    • 4043137376 scopus 로고    scopus 로고
    • A burst-mode word-serial address-event linkVI: Transmitter design
    • Jul.
    • K. Boahen, "A burst-mode word-serial address-event linkVI: Transmitter design," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 51, no. 7, pp. 1269-1280, Jul. 2004.
    • (2004) IEEE Trans. Circuits Syst. I, Reg. Papers , vol.51 , Issue.7 , pp. 1269-1280
    • Boahen, K.1
  • 122
  • 127
    • 84876923734 scopus 로고    scopus 로고
    • Programming time-multiplexed reconfigurable hardware using a scalable neuromorphic compiler
    • Jun.
    • K. Minkovich, N. Srinivasa, J. Cruz-Albrecht, Y. Cho, and A. Nogin, "Programming time-multiplexed reconfigurable hardware using a scalable neuromorphic compiler," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 6, pp. 889-901, Jun. 2012.
    • (2012) IEEE Trans. Neural Netw. Learn. Syst. , vol.23 , Issue.6 , pp. 889-901
    • Minkovich, K.1    Srinivasa, N.2    Cruz-Albrecht, J.3    Cho, Y.4    Nogin, A.5
  • 129
    • 84862684572 scopus 로고    scopus 로고
    • Python scripting in the nengo simulator
    • DOI: 10.3389/neuro.11.007.2009
    • T. C. Stewart, B. Tripp, and C. Eliasmith, "Python scripting in the nengo simulator," Front. Neuroinf., vol. 3, 2009, DOI: 10.3389/neuro.11. 007.2009.
    • (2009) Front. Neuroinf. , vol.3
    • Stewart, T.C.1    Tripp, B.2    Eliasmith, C.3
  • 131
    • 80053989520 scopus 로고    scopus 로고
    • A systematic method for configuring VLSI networks of spiking neurons
    • Oct.
    • E. Neftci, E. Chicca, G. Indiveri, and R. Douglas, "A systematic method for configuring VLSI networks of spiking neurons," Neural Comput., vol. 23, no. 10, pp. 2457-2497, Oct. 2011.
    • (2011) Neural Comput. , vol.23 , Issue.10 , pp. 2457-2497
    • Neftci, E.1    Chicca, E.2    Indiveri, G.3    Douglas, R.4
  • 132
    • 84862232200 scopus 로고    scopus 로고
    • Dynamic state and parameter estimation applied to neuromorphic systems
    • Jul.
    • E. Neftci, B. Toth, G. Indiveri, and H. Abarbanel, "Dynamic state and parameter estimation applied to neuromorphic systems," Neural Comput., vol. 24, no. 7, pp. 1669-1694, Jul. 2012.
    • (2012) Neural Comput. , vol.24 , Issue.7 , pp. 1669-1694
    • Neftci, E.1    Toth, B.2    Indiveri, G.3    Abarbanel, H.4
  • 133
    • 0029738588 scopus 로고    scopus 로고
    • Redistribution of synaptic efficacy between neocortical pyramidal neurons
    • DOI 10.1038/382807a0
    • H. Markram and M. Tsodyks, "Redistribution of synaptic efficacy between neocortical pyramidal neurons," Nature, vol. 382, pp. 807-810, 1996. (Pubitemid 26299563)
    • (1996) Nature , vol.382 , Issue.6594 , pp. 807-810
    • Markram, H.1    Tsodyks, M.2
  • 134
    • 0033110047 scopus 로고    scopus 로고
    • Collective behavior of networks with linear (VLSI) integrate and fire neurons
    • S. Fusi and M. Mattia, "Collective behavior of networks with linear (VLSI) integrate and fire neurons," Neural Comput., vol. 11, pp. 633-652, 1999.
    • (1999) Neural Comput. , vol.11 , pp. 633-652
    • Fusi, S.1    Mattia, M.2
  • 136
    • 79952423693 scopus 로고    scopus 로고
    • A device mismatch compensation method for VLSI spiking neural networks
    • E. Neftci and G. Indiveri, "A device mismatch compensation method for VLSI spiking neural networks," in Proc. IEEE Biomed. Circuits Syst. Conf., 2010, pp. 262-265.
    • (2010) Proc. IEEE Biomed. Circuits Syst. Conf. , pp. 262-265
    • Neftci, E.1    Indiveri, G.2
  • 137
    • 78650992155 scopus 로고    scopus 로고
    • A neuromorphic VLSI head direction cell system
    • Jan.
    • T. Massoud and T. Horiuchi, "A neuromorphic VLSI head direction cell system," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 58, no. 1, pp. 150-163, Jan. 2011.
    • (2011) IEEE Trans. Circuits Syst. I, Reg. Papers , vol.58 , Issue.1 , pp. 150-163
    • Massoud, T.1    Horiuchi, T.2
  • 138
    • 34047142195 scopus 로고    scopus 로고
    • Neural systems engineering
    • DOI 10.1098/rsif.2006.0177
    • S. Furber and S. Temple, "Neural systems engineering," J. Roy. Soc. Interface, vol. 4, no. 13, pp. 193-206, 2007. (Pubitemid 46513051)
    • (2007) Journal of the Royal Society Interface , vol.4 , Issue.13 , pp. 193-206
    • Furber, S.1    Temple, S.2
  • 139
    • 18444373575 scopus 로고    scopus 로고
    • Neuromorphic microchips
    • K. Boahen, "Neuromorphic microchips," Sci. Amer., vol. 292, no. 5, pp. 56-63, May 2005. (Pubitemid 40642915)
    • (2005) Scientific American , vol.292 , Issue.5 , pp. 56-63
    • Boahen, K.1
  • 140
    • 33646493338 scopus 로고    scopus 로고
    • Brain powerVBorrowing from biology makes for low power computingVBionic ear
    • May
    • R. Sarpeshkar, "Brain powerVBorrowing from biology makes for low power computingVBionic ear," IEEE Spectrum, vol. 43, no. 5, pp. 24-29, May 2006.
    • (2006) IEEE Spectrum , vol.43 , Issue.5 , pp. 24-29
    • Sarpeshkar, R.1
  • 141
    • 67650631380 scopus 로고    scopus 로고
    • Nonlinear influence of T-channels in an in silico relay neuron
    • Jun.
    • K. Hynna and K. Boahen, "Nonlinear influence of T-channels in an in silico relay neuron," IEEE Trans. Biomed. Circuits Syst., vol. 56, no. 6, pp. 1734-1743, Jun. 2009.
    • (2009) IEEE Trans. Biomed. Circuits Syst. , vol.56 , Issue.6 , pp. 1734-1743
    • Hynna, K.1    Boahen, K.2
  • 142
    • 84857357345 scopus 로고
    • White noise in MOS transistors and resistors
    • Nov.
    • R. Sarpeshkar, T. Delbruck, and C. Mead, "White noise in MOS transistors and resistors," IEEE Circuits Devices Mag., vol. 9, no. 6, pp. 23-29, Nov. 1993.
    • (1993) IEEE Circuits Devices Mag. , vol.9 , Issue.6 , pp. 23-29
    • Sarpeshkar, R.1    Delbruck, T.2    Mead, C.3
  • 143
    • 59749099514 scopus 로고    scopus 로고
    • The effect of mismatch in current-versus voltage-mode resistive grids
    • B. Shi, "The effect of mismatch in current-versus voltage-mode resistive grids," Int. J. Circuit Theory Appl., vol. 37, pp. 53-65, 2009.
    • (2009) Int. J. Circuit Theory Appl. , vol.37 , pp. 53-65
    • Shi, B.1
  • 144
    • 44349136409 scopus 로고    scopus 로고
    • Minimizing the effect of process mismatch in a neuromorphic system using spike-timing-dependent adaptation
    • DOI 10.1109/TNN.2007.914192
    • K. Cameron and A. Murray, "Minimizing the effect of process mismatch in a neuromorphic system using spike-timing-dependent adaptation," IEEE Trans. Neural Netw., vol. 19, no. 5, pp. 899-913, May 2008. (Pubitemid 351728824)
    • (2008) IEEE Transactions on Neural Networks , vol.19 , Issue.5 , pp. 899-913
    • Cameron, K.1    Murray, A.2
  • 146
    • 21244466365 scopus 로고    scopus 로고
    • Bias current generators with wide dynamic range
    • DOI 10.1007/s10470-005-1606-1
    • T. Delbruck and A. Van Schaik, "Bias current generators with wide dynamic range," Analog Integr. Circuits Signal Process., vol. 43, no. 3, pp. 247-268, 2005. (Pubitemid 40890486)
    • (2005) Analog Integrated Circuits and Signal Processing , vol.43 , Issue.3 , pp. 247-268
    • Delbruck, T.1    Van Schaik, A.2
  • 148
    • 0036834701 scopus 로고    scopus 로고
    • Real-time computing without stable states: A new framework for neural computation based on perturbations
    • W. Maass, T. Natschläger, and H. Markram, "Real-time computing without stable states: A new framework for neural computation based on perturbations," Neural Comput., vol. 14, no. 11, pp. 2531-2560, 2002.
    • (2002) Neural Comput. , vol.14 , Issue.11 , pp. 2531-2560
    • Maass, W.1    Natschläger, T.2    Markram, H.3
  • 149
    • 78650868298 scopus 로고    scopus 로고
    • Information capacity and transmission are maximized in balanced cortical networks with neuronal avalanches
    • W. Shew, H. Yang, S. Yu, R. Roy, and D. Plenz, "Information capacity and transmission are maximized in balanced cortical networks with neuronal avalanches," J. Neurosci., vol. 31, no. 1, pp. 55-63, 2011.
    • (2011) J. Neurosci. , vol.31 , Issue.1 , pp. 55-63
    • Shew, W.1    Yang, H.2    Yu, S.3    Roy, R.4    Plenz, D.5
  • 150
    • 0347064157 scopus 로고    scopus 로고
    • Synergy, redundancy, and independence in population codes
    • E. Schneidman, W. Bialek, and M. B. II, "Synergy, redundancy, independence in population codes," J. Neurosci., vol. 23, no. 37, pp. 11539-11553, 2003. (Pubitemid 38021282)
    • (2003) Journal of Neuroscience , vol.23 , Issue.37 , pp. 11539-11553
    • Schneidman, E.1    Bialek, W.2    Berry II, M.J.3
  • 151
    • 0001940458 scopus 로고
    • Adaptive mixtures of local experts
    • R. Jacobs, M. Jordan, S. Nowlan, and G. Hinton, "Adaptive mixtures of local experts," Neural Comput., vol. 3, no. 1, pp. 79-87, 1991.
    • (1991) Neural Comput. , vol.3 , Issue.1 , pp. 79-87
    • Jacobs, R.1    Jordan, M.2    Nowlan, S.3    Hinton, G.4
  • 152
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • L. Breiman, "Random forests," Mach. Learn., vol. 45, no. 1, pp. 5-32, 2001. (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 153
    • 13844266723 scopus 로고    scopus 로고
    • Cascade models of synaptically stored memories
    • DOI 10.1016/j.neuron.2005.02.001
    • S. Fusi, P. Drew, and L. Abbott, "Cascade models of synaptically stored memories," Neuron, vol. 45, pp. 599-611, 2005. (Pubitemid 40253583)
    • (2005) Neuron , vol.45 , Issue.4 , pp. 599-611
    • Fusi, S.1    Drew, P.J.2    Abbott, L.F.3
  • 154
    • 34147179944 scopus 로고    scopus 로고
    • A neural circuit model of flexible sensorimotor mapping: Learning and forgetting on multiple timescales
    • DOI 10.1016/j.neuron.2007.03.017, PII S0896627307002127
    • S. Fusi, W. Asaad, E. Miller, and X.-J. Wang, "A neural circuit model of flexible sensori-motor mapping: Learning and forgetting," Neuron, vol. 54, no. 2, pp. 319-333, 2007. (Pubitemid 46561200)
    • (2007) Neuron , vol.54 , Issue.2 , pp. 319-333
    • Fusi, S.1    Asaad, W.F.2    Miller, E.K.3    Wang, X.-J.4
  • 157
    • 0038757574 scopus 로고    scopus 로고
    • A low-power adaptive integrate-and-fire neuron circuit
    • May
    • G. Indiveri, "A low-power adaptive integrate-and-fire neuron circuit," in Proc. IEEE Int. Symp. Circuits Syst., May 2003, pp. 4820-4823.
    • (2003) Proc. IEEE Int. Symp. Circuits Syst. , pp. 4820-4823
    • Indiveri, G.1
  • 158
    • 80255122736 scopus 로고    scopus 로고
    • A model of stimulus-specific adaptation in neuromorphic analog VLSI
    • Oct.
    • R. Mill, S. Sheik, G. Indiveri, and S. Denham, "A model of stimulus-specific adaptation in neuromorphic analog VLSI," IEEE Trans. Biomed. Circuits Syst., vol. 5, no. 5, pp. 413-419, Oct. 2011.
    • (2011) IEEE Trans. Biomed. Circuits Syst. , vol.5 , Issue.5 , pp. 413-419
    • Mill, R.1    Sheik, S.2    Indiveri, G.3    Denham, S.4
  • 159
    • 78149496236 scopus 로고    scopus 로고
    • An embodied account of serial order: How instabilities drive sequence generation
    • Y. Sandamirskaya and G. Schöner, "An embodied account of serial order: How instabilities drive sequence generation," Neural Netw., vol. 23, no. 10, pp. 1164-1179, 2010.
    • (2010) Neural Netw. , vol.23 , Issue.10 , pp. 1164-1179
    • Sandamirskaya, Y.1    Schöner, G.2
  • 160
    • 84864000881 scopus 로고    scopus 로고
    • Systematic construction of finite state automata using VLSI spiking neurons
    • T. Prescott, N. Lepora, A. Mura, and P. Verschure, Eds. Berlin, Germany: Springer-Verlag
    • E. Neftci, J. Binas, E. Chicca, G. Indiveri, and R. Douglas, "Systematic construction of finite state automata using VLSI spiking neurons," in Biomimetic and Biohybrid Systems, vol. 7375, T. Prescott, N. Lepora, A. Mura, and P. Verschure, Eds. Berlin, Germany: Springer-Verlag, 2012, pp. 382-383.
    • (2012) Biomimetic and Biohybrid Systems , vol.7375 , pp. 382-383
    • Neftci, E.1    Binas, J.2    Chicca, E.3    Indiveri, G.4    Douglas, R.5
  • 161
    • 84863881230 scopus 로고    scopus 로고
    • Internal representation of task rules by recurrent dynamics: The importance of the diversity of neural responses
    • DOI: 10.3389/fncom.2010.00024
    • M. Rigotti, D. B. D. Rubin, X.-J. Wang, and S. Fusi, "Internal representation of task rules by recurrent dynamics: The importance of the diversity of neural responses," Front. Comput. Neurosci., vol. 4, 2010, DOI: 10.3389/fncom.2010.00024.
    • (2010) Front. Comput. Neurosci. , vol.4
    • Rigotti, M.1    Rubin, D.B.D.2    Wang, X.-J.3    Fusi, S.4
  • 164
    • 77954760819 scopus 로고    scopus 로고
    • Neuromorphic sensory systems
    • S.-C. Liu and T. Delbruck, "Neuromorphic sensory systems," Current Opinion Neurobiol., vol. 20, no. 3, pp. 288-295, 2010.
    • (2010) Current Opinion Neurobiol. , vol.20 , Issue.3 , pp. 288-295
    • Liu, S.-C.1    Delbruck, T.2
  • 166
    • 70349235964 scopus 로고    scopus 로고
    • Belief propagation in networks of spiking neurons
    • A. Steimer, W. Maass, and R. Douglas, "Belief propagation in networks of spiking neurons," Neural Comput., vol. 21, pp. 2502-2523, 2009.
    • (2009) Neural Comput. , vol.21 , pp. 2502-2523
    • Steimer, A.1    Maass, W.2    Douglas, R.3
  • 168
    • 84888811418 scopus 로고    scopus 로고
    • Real-time classification and sensor fusion with a spiking deep belief network
    • DOI: 10.3389/fnins.2013.00178
    • P. O'Connor, D. Neil, S.-C. Liu, T. Delbruck, and M. Pfeiffer, "Real-time classification and sensor fusion with a spiking deep belief network," Front. Neurosci., vol. 7, 2013, DOI: 10.3389/fnins.2013.00178.
    • (2013) Front. Neurosci. , vol.7
    • O'Connor, P.1    Neil, D.2    Liu, S.-C.3    Delbruck, T.4    Pfeiffer, M.5
  • 169
    • 84898035691 scopus 로고    scopus 로고
    • Event-driven contrastive divergence for spiking neuromorphic systems
    • DOI: 10.3389/fnins. 2013.00272
    • E. Neftci, S. Das, B. Pedroni, K. Kreutz-Delgado, and G. Cauwenberghs, "Event-driven contrastive divergence for spiking neuromorphic systems," Front. Neurosci., vol. 7, 2014, DOI: 10.3389/fnins. 2013.00272.
    • (2014) Front. Neurosci. , vol.7
    • Neftci, E.1    Das, S.2    Pedroni, B.3    Kreutz-Delgado, K.4    Cauwenberghs, G.5
  • 172
    • 84862698719 scopus 로고    scopus 로고
    • The brain activity map project and the challenge of functional connectomics
    • A. P. Alivisatos, M. Chun, G. M. Church, R. J. Greenspan, M. L. Roukes, and R. Yuste, "The brain activity map project and the challenge of functional connectomics," Neuron, vol. 74, no. 6, pp. 970-974, 2012.
    • (2012) Neuron , vol.74 , Issue.6 , pp. 970-974
    • Alivisatos, A.P.1    Chun, M.2    Church, G.M.3    Greenspan, R.J.4    Roukes, M.L.5    Yuste, R.6
  • 173
    • 84861414911 scopus 로고    scopus 로고
    • The human brain project
    • H. Markram, "The human brain project," Sci. Amer., vol. 306, no. 6, pp. 50-55, 2012.
    • (2012) Sci. Amer. , vol.306 , Issue.6 , pp. 50-55
    • Markram, H.1
  • 174
    • 85007025437 scopus 로고    scopus 로고
    • Connectivity of a cognitive computer based on the macaque brain
    • E. McQuinn, P. Datta, M. D. Flickner, W. P. Risk, and D. S. Modha, "Connectivity of a cognitive computer based on the macaque brain," Science, vol. 339, no. 6119, pp. 513-513, 2013.
    • (2013) Science , vol.339 , Issue.6119 , pp. 513-513
    • McQuinn, E.1    Datta, P.2    Flickner, M.D.3    Risk, W.P.4    Modha, D.S.5
  • 178
    • 84862221428 scopus 로고    scopus 로고
    • Frontiers in neuromorphic engineering
    • DOI: 10.3389/fnins.2011.00118
    • G. Indiveri and T. Horiuchi, "Frontiers in neuromorphic engineering," Front. Neurosci., vol. 5, 2011, DOI: 10.3389/fnins.2011. 00118.
    • (2011) Front. Neurosci. , vol.5
    • Indiveri, G.1    Horiuchi, T.2


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