메뉴 건너뛰기




Volumn 8064 LNAI, Issue , 2013, Pages 262-273

Spatio-temporal spike pattern classification in neuromorphic systems

Author keywords

[No Author keywords available]

Indexed keywords

BIOMIMETICS; REAL TIME SYSTEMS; ROBOTICS;

EID: 84880713240     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-39802-5_23     Document Type: Conference Paper
Times cited : (22)

References (53)
  • 1
    • 0034244222 scopus 로고    scopus 로고
    • Neural systems as nonlinear filters
    • Maass, W., Sontag, E.: Neural systems as nonlinear filters. Neural Computation 12(8), 1743-1772 (2000)
    • (2000) Neural Computation , vol.12 , Issue.8 , pp. 1743-1772
    • Maass, W.1    Sontag, E.2
  • 2
    • 33750308619 scopus 로고    scopus 로고
    • Advances in design and application of spiking neural networks
    • Belatreche, A., Maguire, L.P., McGinnity, M.: Advances in design and application of spiking neural networks. Soft Computing 11(3), 239-248 (2006)
    • (2006) Soft Computing , vol.11 , Issue.3 , pp. 239-248
    • Belatreche, A.1    Maguire, L.P.2    McGinnity, M.3
  • 6
    • 84867681939 scopus 로고    scopus 로고
    • Silicon neurons that compute
    • Villa, A.E.P., Duch, W., Erdi, P., Masulli, F., Palm, G. (eds.) Springer, Heidelberg
    • Choudhary, S., et al.: Silicon neurons that compute. In: Villa, A.E.P., Duch, W., Erdi, P., Masulli, F., Palm, G. (eds.) ICANN 2012, Part I. LNCS, vol. 7552, pp. 121-128. Springer, Heidelberg (2012)
    • (2012) ICANN 2012, Part I. LNCS , vol.7552 , pp. 121-128
    • Choudhary, S.1
  • 7
  • 8
    • 0342364227 scopus 로고
    • Axonal delay lines for time measurement in the owl's brainstem
    • Carr, C.E., Konishi, M.: Axonal delay lines for time measurement in the owl's brainstem. Proceedings of the National Academy of Sciences 85(21), 8311-8315 (1988)
    • (1988) Proceedings of the National Academy of Sciences , vol.85 , Issue.21 , pp. 8311-8315
    • Carr, C.E.1    Konishi, M.2
  • 9
    • 0025499292 scopus 로고
    • A circuit for detection of interaural time differences in the brain stem of the barn owl
    • Carr, C.E., Konishi, M.: A circuit for detection of interaural time differences in the brain stem of the barn owl. The Journal of Neuroscience 10(10), 3227-3246 (1990)
    • (1990) The Journal of Neuroscience , vol.10 , Issue.10 , pp. 3227-3246
    • Carr, C.E.1    Konishi, M.2
  • 10
    • 84862013865 scopus 로고    scopus 로고
    • Probing real sensory worlds of receivers with unsupervised clustering
    • Pfeiffer, M., Hartbauer, M., Lang, A.B., Maass, W., Römer, H.: Probing real sensory worlds of receivers with unsupervised clustering. PloS One 7(6), e37354 (2012)
    • (2012) PloS One , vol.7 , Issue.6
    • Pfeiffer, M.1    Hartbauer, M.2    Lang, A.B.3    Maass, W.4    Römer, H.5
  • 11
    • 1642580884 scopus 로고    scopus 로고
    • First spikes in ensembles of human tactile afferents code complex spatial fingertip events
    • DOI 10.1038/nn1177
    • Johansson, R., Birznieks, I.: First spikes in ensembles of human tactile afferents code complex spatial fingertip events. Nature Neuroscience 7(2), 170-177 (2004) (Pubitemid 38129793)
    • (2004) Nature Neuroscience , vol.7 , Issue.2 , pp. 170-177
    • Johansson, R.S.1    Birznieks, I.2
  • 12
    • 0032950218 scopus 로고    scopus 로고
    • Time as coding space?
    • DOI 10.1016/S0959-4388(99)80026-9
    • Singer, W.: Time as coding space? Current Opinion in Neurobiology 9(2), 189-194 (1999) (Pubitemid 29201791)
    • (1999) Current Opinion in Neurobiology , vol.9 , Issue.2 , pp. 189-194
    • Singer, W.1
  • 13
    • 0029999805 scopus 로고    scopus 로고
    • Geometric determinants of the place fields of hippocampal neurons
    • DOI 10.1038/381425a0
    • O'Keefe, J., Burgess, N.: Geometric determinants of the place fields of hippocam-pal neurons. Nature 381(6581), 425-428 (1996) (Pubitemid 26162732)
    • (1996) Nature , vol.381 , Issue.6581 , pp. 425-428
    • O'Keefe, J.1    Burgess, N.2
  • 14
    • 84877828537 scopus 로고    scopus 로고
    • Temporal order detection and coding in nervous systems
    • Stiefel, K.M., Tapson, J., van Schaik, A.: Temporal order detection and coding in nervous systems. Neural Computation 25(2), 510-531 (2013)
    • (2013) Neural Computation , vol.25 , Issue.2 , pp. 510-531
    • Stiefel, K.M.1    Tapson, J.2    Van Schaik, A.3
  • 15
    • 84865101997 scopus 로고    scopus 로고
    • Online spatio-temporal pattern recognition with evolving spiking neural networks utilising address event representation, rank order, and temporal spike learning
    • IEEE
    • Dhoble, K., Nuntalid, N., Indiveri, G., Kasabov, N.: Online spatio-temporal pattern recognition with evolving spiking neural networks utilising address event representation, rank order, and temporal spike learning. In: International Joint Conference on Neural Networks, IJCNN 2012, pp. 554-560. IEEE (2012)
    • (2012) International Joint Conference on Neural Networks, IJCNN 2012 , pp. 554-560
    • Dhoble, K.1    Nuntalid, N.2    Indiveri, G.3    Kasabov, N.4
  • 16
    • 79955090327 scopus 로고    scopus 로고
    • Stdp enables spiking neurons to detect hidden causes of their inputs
    • Bengio, Y., Schuurmans, D., Lafferty, J., Williams, C.I., Culotta, A. (eds.)
    • Nessler, B., Pfeiffer, M., Maass, W.: Stdp enables spiking neurons to detect hidden causes of their inputs. In: Bengio, Y., Schuurmans, D., Lafferty, J., Williams, C.I., Culotta, A. (eds.) Advances in Neural Information Processing Systems, vol. 22, pp. 1357-1365 (2009)
    • (2009) Advances in Neural Information Processing Systems , vol.22 , pp. 1357-1365
    • Nessler, B.1    Pfeiffer, M.2    Maass, W.3
  • 17
    • 38949179110 scopus 로고    scopus 로고
    • Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains
    • DOI 10.1371/journal.pone.0001377
    • Masquelier, T., Guyonneau, R., Thorpe, S.J.: Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains. PLoS One 3(1), e1377 (2008) (Pubitemid 351223139)
    • (2008) PLoS ONE , vol.3 , Issue.1
    • Masquelier, T.1    Guyonneau, R.2    Thorpe, S.J.3
  • 18
    • 33344478663 scopus 로고    scopus 로고
    • The tempotron: A neuron that learns spike timing-based decisions
    • DOI 10.1038/nn1643
    • Gütig, R., Sompolinsky, H.: The tempotron: a neuron that learns spike timing-based decisions. Nature Neuroscience 9, 420-428 (2006) (Pubitemid 43290972)
    • (2006) Nature Neuroscience , vol.9 , Issue.3 , pp. 420-428
    • Gutig, R.1    Sompolinsky, H.2
  • 19
    • 0034766266 scopus 로고    scopus 로고
    • Spike-based strategies for rapid processing
    • DOI 10.1016/S0893-6080(01)00083-1, PII S0893608001000831
    • Thorpe, S., Delorme, A., Van Rullen, R., et al.: Spike-based strategies for rapid processing. Neural Networks 14(6-7), 715-725 (2001) (Pubitemid 33035869)
    • (2001) Neural Networks , vol.14 , Issue.6-7 , pp. 715-725
    • Thorpe, S.1    Delorme, A.2    Van Rullen, R.3
  • 20
    • 25144452832 scopus 로고    scopus 로고
    • What can a neuron learn with spike-timing-dependent plasticity?
    • DOI 10.1162/0899766054796888
    • Legenstein, R., Näger, C., Maass, W.: What can a neuron learn with spike-timing-dependent plasticity? Neural Computation 17(11), 2337-2382 (2005) (Pubitemid 41337039)
    • (2005) Neural Computation , vol.17 , Issue.11 , pp. 2337-2382
    • Legenstein, R.1    Naeger, C.2    Maass, W.3
  • 21
    • 0032211459 scopus 로고    scopus 로고
    • How the threshold of a neuron determines its capacity for coincidence detection
    • DOI 10.1016/S0303-2647(98)00055-0, PII S0303264798000550
    • Kempter, R., Gerstner, W., Van Hemmen, J.L.: How the threshold of a neuron determines its capacity for coincidence detection. Biosystems 48(1), 105-112 (1998) (Pubitemid 28526567)
    • (1998) BioSystems , vol.48 , Issue.1-3 , pp. 105-112
    • Kempter, R.1    Gerstner, W.2    Van Hemmen, J.L.3
  • 23
    • 68849101118 scopus 로고    scopus 로고
    • Competitive stdp-based spike pattern learning
    • Masquelier, T., Guyonneau, R., Thorpe, S.J.: Competitive stdp-based spike pattern learning. Neural Computation 21(5), 1259-1276 (2009)
    • (2009) Neural Computation , vol.21 , Issue.5 , pp. 1259-1276
    • Masquelier, T.1    Guyonneau, R.2    Thorpe, S.J.3
  • 24
    • 39749084094 scopus 로고    scopus 로고
    • A 128 × 128 120dB 30mW asynchronous vision sensor that responds to relative intensity change
    • IEEE February
    • Lichtsteiner, P., Posch, C., Delbruck, T.: A 128 × 128 120dB 30mW asynchronous vision sensor that responds to relative intensity change. In: 2006 IEEE ISSCC Digest of Technical Papers, pp. 508-509. IEEE (February 2006)
    • (2006) 2006 IEEE ISSCC Digest of Technical Papers , pp. 508-509
    • Lichtsteiner, P.1    Posch, C.2    Delbruck, T.3
  • 25
    • 84876928403 scopus 로고    scopus 로고
    • Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity
    • Nessler, B., Pfeiffer, M., Maass, W.: Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity. PLoS Computational Biology (2013)
    • (2013) PLoS Computational Biology
    • Nessler, B.1    Pfeiffer, M.2    Maass, W.3
  • 26
    • 68049143463 scopus 로고    scopus 로고
    • Time-warp-invariant neuronal processing
    • Gütig, R., Sompolinsky, H.: Time-warp-invariant neuronal processing. PLoS Biology 7(7), e1000141 (2009)
    • (2009) PLoS Biology , vol.7 , Issue.7
    • Gütig, R.1    Sompolinsky, H.2
  • 28
    • 77955997735 scopus 로고    scopus 로고
    • Multilayer processing of spatiotemporal spike patterns in a neuron with active dendrites
    • Wang, Y., Liu, S.C.: Multilayer processing of spatiotemporal spike patterns in a neuron with active dendrites. Neural Computation 8, 2086-2112 (2010)
    • (2010) Neural Computation , vol.8 , pp. 2086-2112
    • Wang, Y.1    Liu, S.C.2
  • 29
    • 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
    • Arthur, J., Boahen, K.: Recurrently connected silicon neurons with active den-drites for one-shot learning. In: IEEE International Joint Conference on Neural Networks, vol. 3, pp. 1699-1704 (July 2004) (Pubitemid 40006516)
    • (2004) IEEE International Conference on Neural Networks - Conference Proceedings , vol.3 , pp. 1699-1704
    • Arthur, J.V.1    Boahen, K.2
  • 31
    • 0035272406 scopus 로고    scopus 로고
    • Forward- and backpropagation in a silicon dendrite
    • DOI 10.1109/72.914532, PII S1045922701020562
    • Rasche, C., Douglas, R.: Forward- and backpropagation in a silicon dendrite. IEEE Transactions on Neural Networks 12, 386-393 (2001) (Pubitemid 32371492)
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.2 , pp. 386-393
    • Rasche, C.1    Douglas, R.J.2
  • 33
    • 0034143330 scopus 로고    scopus 로고
    • Decoding temporal information: A model based on short-term synaptic plasticity
    • Buonomano, D.: Decoding temporal information: A model based on short-term synaptic plasticity. The Journal of Neuroscience 20, 1129-1141 (2000) (Pubitemid 30220470)
    • (2000) Journal of Neuroscience , vol.20 , Issue.3 , pp. 1129-1141
    • Buonomano, D.V.1
  • 34
    • 0036834701 scopus 로고    scopus 로고
    • Real-time computing without stable states: A new framework for neural computation based on perturbations
    • Maass, W., Natschläger, T., Markram, H.: Real-time computing without stable states: A new framework for neural computation based on perturbations. Neural Computation 14(11), 2531-2560 (2002)
    • (2002) Neural Computation , vol.14 , Issue.11 , pp. 2531-2560
    • Maass, W.1    Natschläger, T.2    Markram, H.3
  • 35
    • 28644432156 scopus 로고    scopus 로고
    • Fading memory and kernel properties of generic cortical microcircuit models
    • DOI 10.1016/j.jphysparis.2005.09.020, PII S0928425705000215
    • Maass, W., Natschläger, T., Markram, H.: Fading memory and kernel properties of generic cortical microcircuit models. Journal of Physiology - Paris 98(4-6), 315-330 (2004) (Pubitemid 41750987)
    • (2004) Journal of Physiology Paris , vol.98 , Issue.4-6 SPEC. ISS. , pp. 315-330
    • Maass, W.1    Natschlager, T.2    Markram, H.3
  • 37
    • 83455210344 scopus 로고    scopus 로고
    • Emergent feature sensitivity in a model of the auditory thalamocortical system
    • Springer, New York
    • Coath, M., Mill, R., Denham, S.L., Wennekers, T.: Emergent Feature Sensitivity in a Model of the Auditory Thalamocortical System. Advances in Experimental Medicine and Biology, vol. 718, pp. 7-17. Springer, New York (2011)
    • (2011) Advances in Experimental Medicine and Biology , vol.718 , pp. 7-17
    • Coath, M.1    Mill, R.2    Denham, S.L.3    Wennekers, T.4
  • 38
    • 33644898137 scopus 로고    scopus 로고
    • Polychronization: Computation with Spikes
    • DOI 10.1162/089976606775093882
    • Izhikevich, E.M.: Polychronization: Computation with spikes. Neural Computation 18(2), 245-282 (2006) (Pubitemid 43543838)
    • (2006) Neural Computation , vol.18 , Issue.2 , pp. 245-282
    • Izhikevich, E.M.1
  • 39
    • 0002798767 scopus 로고
    • Autocorrelation, a principle for the evaluation of sensory information by the central nervous system
    • Reichardt, W.: Autocorrelation, a principle for the evaluation of sensory information by the central nervous system. Sensory Communication, 303-317 (1961)
    • (1961) Sensory Communication , pp. 303-317
    • Reichardt, W.1
  • 41
    • 0001887874 scopus 로고
    • A place theory of sound localization
    • Jeffress, L.A.: A place theory of sound localization. J. Comp. Physiol. Psychol. 41(1), 35-39 (1948)
    • (1948) J. Comp. Physiol. Psychol. , vol.41 , Issue.1 , pp. 35-39
    • Jeffress, L.A.1
  • 43
    • 34548821852 scopus 로고    scopus 로고
    • Synaptic dynamics in analog VLSI
    • Bartolozzi, C., Indiveri, G.: Synaptic dynamics in analog VLSI. Neural Computation 19(10), 2581-2603 (2007)
    • (2007) Neural Computation , vol.19 , Issue.10 , pp. 2581-2603
    • Bartolozzi, C.1    Indiveri, G.2
  • 44
    • 52949128757 scopus 로고    scopus 로고
    • An ultra low power current-mode filter for neuromorphic systems and biomedical signal processing
    • IEEE
    • Bartolozzi, C., Mitra, S., Indiveri, G.: An ultra low power current-mode filter for neuromorphic systems and biomedical signal processing. In: Biomedical Circuits and Systems Conference (BioCAS), pp. 130-133. IEEE (2006)
    • (2006) Biomedical Circuits and Systems Conference (BioCAS) , pp. 130-133
    • Bartolozzi, C.1    Mitra, S.2    Indiveri, G.3
  • 45
    • 0032659048 scopus 로고    scopus 로고
    • "Log-domain state-space,": A systematic transistor-level approach for log-domain filtering
    • Drakakis, E., Payne, A., Toumazou, C.: "Log-domain state-space": A systematic transistor-level approach for log-domain filtering. IEEE Transactions on Circuits and Systems II 46(3), 290-305 (1999)
    • (1999) IEEE Transactions on Circuits and Systems II , vol.46 , Issue.3 , pp. 290-305
    • Drakakis, E.1    Payne, A.2    Toumazou, C.3
  • 46
    • 0027841342 scopus 로고
    • Log-domain filtering: An approach to current-mode filtering
    • Frey, D.: Log-domain filtering: An approach to current-mode filtering. IEE Proceedings G: Circuits, Devices and Systems 140(6), 406-416 (1993)
    • (1993) IEE Proceedings G: Circuits, Devices and Systems , vol.140 , Issue.6 , pp. 406-416
    • Frey, D.1
  • 47
    • 0029738588 scopus 로고    scopus 로고
    • Redistribution of synaptic efficacy between neocortical pyramidal neurons
    • DOI 10.1038/382807a0
    • Markram, H., Tsodyks, M.: Redistribution of synaptic efficacy between neocortical pyramidal neurons. Nature 382, 807-810 (1996) (Pubitemid 26299563)
    • (1996) Nature , vol.382 , Issue.6594 , pp. 807-810
    • Markram, H.1    Tsodyks, M.2
  • 48
    • 0035219552 scopus 로고    scopus 로고
    • Silicon synaptic depression
    • DOI 10.1007/s004220170004
    • Rasche, C., Hahnloser, R.: Silicon synaptic depression. Biological Cybernetics 84(1), 57-62 (2001) (Pubitemid 33605160)
    • (2001) Biological Cybernetics , vol.84 , Issue.1 , pp. 57-62
    • Rasche, C.1    Hahnloser, R.H.R.2
  • 49
    • 0037315364 scopus 로고    scopus 로고
    • Modeling short-term syrtaptic depression in silicon
    • DOI 10.1162/089976603762552942
    • Boegerhausen, M., Suter, P., Liu, S.C.: Modeling short-term synaptic depression in silicon. Neural Computation 15(2), 331-348 (2003) (Pubitemid 37049824)
    • (2003) Neural Computation , vol.15 , Issue.2 , pp. 331-348
    • Boegerhausen, M.1    Suter, P.2    Liu, S.-C.3
  • 50
    • 0030855997 scopus 로고    scopus 로고
    • A quantitative description of short-term plasticity at excitatory synapses in layer 2/3 of rat primary visual cortex
    • Varela, J., Sen, K., Gibson, J., Fost, J., Abbott, L., Nelson, S.: A quantitative description of short-term plasticity at excitatory synapses in layer 2/3 of rat primary visual cortex. The Journal of Neuroscience 17, 7926-7940 (1997) (Pubitemid 27426228)
    • (1997) Journal of Neuroscience , vol.17 , Issue.20 , pp. 7926-7940
    • Varela, J.A.1    Sen, K.2    Gibson, J.3    Fost, J.4    Abbott, L.F.5    Nelson, S.B.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.