메뉴 건너뛰기




Volumn 64, Issue 1-4 SPEC. ISS., 2005, Pages 447-472

An asynchronous spiking chaotic neuron integrated circuit

Author keywords

Analog integrated circuit; Asynchronous pulsed circuit; Chaos; Spiking neuron

Indexed keywords

BIFURCATION (MATHEMATICS); CHAOS THEORY; FUNCTIONS; MATHEMATICAL MODELS; MICROPROCESSOR CHIPS; NEURAL NETWORKS; SEMICONDUCTOR MATERIALS;

EID: 15844366377     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.09.001     Document Type: Article
Times cited : (21)

References (52)
  • 2
    • 0033667165 scopus 로고    scopus 로고
    • Synaptic plasticity: Taming the beast
    • L.F. Abbott Synaptic plasticity: Taming the beast Nature Neurosci. 3 2000 1178-1183
    • (2000) Nature Neurosci. , vol.3 , pp. 1178-1183
    • Abbott, L.F.1
  • 3
    • 0020049262 scopus 로고
    • Role of the cortical neuron: Integrator or coincidence detector?
    • M. Abeles Role of the cortical neuron: Integrator or coincidence detector? Israel J. Med. Sci. 18 1982 83-92
    • (1982) Israel J. Med. Sci. , vol.18 , pp. 83-92
    • Abeles, M.1
  • 5
    • 0038682218 scopus 로고    scopus 로고
    • Chaos engineering and its application to parallel distributed processing with chaotic neural networks
    • K. Aihara Chaos engineering and its application to parallel distributed processing with chaotic neural networks Proc. IEEE 90 5 2002 919-930
    • (2002) Proc. IEEE , vol.90 , Issue.5 , pp. 919-930
    • Aihara, K.1
  • 6
    • 0000495684 scopus 로고
    • Chaotic oscillators and bifurcation in squid giant axons
    • A.V. Holden (Ed.) Manchester University Press, Manchester
    • K. Aihara, G. Matsumoto, Chaotic oscillators and bifurcation in squid giant axons, in: A.V. Holden (Ed.), Chaos, Manchester University Press, Manchester, 1986, pp. 257-269.
    • (1986) Chaos , pp. 257-269
    • Aihara, K.1    Matsumoto, G.2
  • 9
    • 0035656728 scopus 로고    scopus 로고
    • Dual information representation with stable firing rates and chaotic spatiotemporal spike patterns in a neural network model
    • O. Araki K. Aihara Dual information representation with stable firing rates and chaotic spatiotemporal spike patterns in a neural network model Neural Comput. 13 2001 2799-2822
    • (2001) Neural Comput. , vol.13 , pp. 2799-2822
    • Araki, O.1    Aihara, K.2
  • 11
    • 0036471891 scopus 로고    scopus 로고
    • A retinomorphic chip with parallel pathways: Encoding increasing, on, decreasing and off visual signals
    • K. Boahen A retinomorphic chip with parallel pathways: Encoding increasing, on, decreasing and off visual signals, Analog Integr. Circuits Signal Process. 30 2002 121-135
    • (2002) Analog Integr. Circuits Signal Process , vol.30 , pp. 121-135
    • Boahen, K.1
  • 13
    • 0030297037 scopus 로고    scopus 로고
    • Dynamical cell assembly hypothesis - Theoretical possibility of spatio-temporal coding in the cortex
    • H. Fujii H. Ito K. Aihara N. Ichinose M. Tsukada Dynamical cell assembly hypothesis - theoretical possibility of spatio-temporal coding in the cortex INNS Neural Networks 9 8 1996 1303-1350
    • (1996) INNS Neural Networks , vol.9 , Issue.8 , pp. 1303-1350
    • Fujii, H.1    Ito, H.2    Aihara, K.3    Ichinose, N.4    Tsukada, M.5
  • 14
    • 0036470717 scopus 로고    scopus 로고
    • Analog VLSI leaky integrate-and-fire neurons and their use in a sound analysis system
    • M. Glover A. Hamilton L.S. Smith Analog VLSI leaky integrate-and-fire neurons and their use in a sound analysis system Analog Integr. Circuits Signal Process. 30 2002 91-100
    • (2002) Analog Integr. Circuits Signal Process , vol.30 , pp. 91-100
    • Glover, M.1    Hamilton, A.2    Smith, L.S.3
  • 16
    • 0032156012 scopus 로고    scopus 로고
    • Asynchronous pulse neural network model for VLSI implementation
    • E81-A
    • M. Hanagata Y. Horio K. Aihara Asynchronous pulse neural network model for VLSI implementation IEICE Trans. Fund. E81-A 9 1998 1853-1859
    • (1998) IEICE Trans. Fund. , Issue.9 , pp. 1853-1859
    • Hanagata, M.1    Horio, Y.2    Aihara, K.3
  • 18
    • 0029637779 scopus 로고
    • Pattern recognition computation using action potential timing for stimulus representation
    • J.J. Hopfield Pattern recognition computation using action potential timing for stimulus representation Nature 376 6 1995 33-36
    • (1995) Nature , vol.376 , Issue.6 , pp. 33-36
    • Hopfield, J.J.1
  • 20
    • 0001423742 scopus 로고
    • An analysis on propagation dynamics in asynchronous chaotic neural networks
    • J78-A
    • N. Ichinose, K. Aihara, An analysis on propagation dynamics in asynchronous chaotic neural networks, IEICE Trans. A J78-A (3) (1995) 373-380
    • (1995) IEICE Trans. A , Issue.3 , pp. 373-380
    • Ichinose, N.1    Aihara, K.2
  • 21
    • 0029410143 scopus 로고
    • Scripta Technica Inc., Wiley, New York (English translation)
    • N. Ichinose, K. Aihara, Electronics and Communications in Japan, part 3 vol. 78(11), Scripta Technica Inc., Wiley, New York, 1995, pp. 52-59 (English translation).
    • (1995) Electronics and Communications in Japan , vol.78 , Issue.11 PART 3 , pp. 52-59
    • Ichinose, N.1    Aihara, K.2
  • 22
    • 0027147324 scopus 로고
    • Pulse propagation networks: A neural network model that uses temporal coding by action potentials
    • K. Judd K. Aihara Pulse propagation networks: A neural network model that uses temporal coding by action potentials INNS Neural Networks 6 2 1993 203-215
    • (1993) INNS Neural Networks , vol.6 , Issue.2 , pp. 203-215
    • Judd, K.1    Aihara, K.2
  • 23
    • 0001640825 scopus 로고
    • Chaotic behavior of multidimensional difference equations
    • H.O. Peitgen H.O. Walther (Eds.), Springer Heidelberg
    • J.L. Kaplan J.A. Yorke Chaotic behavior of multidimensional difference equations in: H.O. Peitgen H.O. Walther (Eds.), Functional Differential Equations and Approximation of Fixed Points 1979 Springer Heidelberg 204-227
    • (1979) Functional Differential Equations and Approximation of Fixed Points , pp. 204-227
    • Kaplan, J.L.1    Yorke, J.A.2
  • 27
    • 0032097267 scopus 로고    scopus 로고
    • Classical conditioning with pulsed integrated neural networks: Circuits and systems
    • T. Lehmann Classical conditioning with pulsed integrated neural networks: Circuits and systems IEEE Trans. Circuits System II 45 6 1998 720-728
    • (1998) IEEE Trans. Circuits System II , vol.45 , Issue.6 , pp. 720-728
    • Lehmann, T.1
  • 30
    • 0026428014 scopus 로고
    • A silicon neuron
    • M. Mahowald R. Douglas A silicon neuron Nature 354 19 1991 515-518
    • (1991) Nature , vol.354 , Issue.19 , pp. 515-518
    • Mahowald, M.1    Douglas, R.2
  • 31
    • 17144456133 scopus 로고    scopus 로고
    • Bridging rate coding and temporal spike coding by effect of noise
    • N. Masuda, K. Aihara, Bridging rate coding and temporal spike coding by effect of noise, Phys. Rev. Lett. 88 (24) (2002) 24801-1-24801-4.
    • (2002) Phys. Rev. Lett. , vol.88 , Issue.24
    • Masuda, N.1    Aihara, K.2
  • 32
    • 0037270342 scopus 로고    scopus 로고
    • Duality of rate coding and temporal coding in multilayered feedforward networks
    • N. Masuda K. Aihara Duality of rate coding and temporal coding in multilayered feedforward networks Neural Comput. 15 2003 103-125
    • (2003) Neural Comput. , vol.15 , pp. 103-125
    • Masuda, N.1    Aihara, K.2
  • 33
    • 0842346963 scopus 로고    scopus 로고
    • Self-organizing dual coding based on spike-time-dependent plasticity
    • N. Masuda K. Aihara Self-organizing dual coding based on spike-time-dependent plasticity Neural Comput. 16 2004 627-663
    • (2004) Neural Comput. , vol.16 , pp. 627-663
    • Masuda, N.1    Aihara, K.2
  • 37
    • 0023361987 scopus 로고
    • Asynchronous VLSI neural networks using pulse-stream arithmetic
    • A.F. Murray A.V.W. Smith Asynchronous VLSI neural networks using pulse-stream arithmetic IEEE J. Solid-State Circuits 23 3 1988 688-697
    • (1988) IEEE J. Solid-State Circuits , vol.23 , Issue.3 , pp. 688-697
    • Murray, A.F.1    Smith, A.V.W.2
  • 39
    • 15844408766 scopus 로고    scopus 로고
    • AIHARA Electrical Engineering Co. Ltd. (in Japanese)
    • Reference manual for Sunday Chaos Times, AIHARA Electrical Engineering Co. Ltd., 2002 (in Japanese).
    • (2002) Reference Manual for Sunday Chaos Times
  • 40
  • 42
    • 0032594845 scopus 로고    scopus 로고
    • Dynamic range and sensitivity adaptation in a silicon spiking neuron
    • J. Shin C. Koch Dynamic range and sensitivity adaptation in a silicon spiking neuron IEEE Trans. Neural Networks 10 5 1999 1232-1238
    • (1999) IEEE Trans. Neural Networks , vol.10 , Issue.5 , pp. 1232-1238
    • Shin, J.1    Koch, C.2
  • 43
    • 0001343004 scopus 로고
    • Global bifurcation structure in periodically stimulated giant axons of squid
    • N. Takahashi Y. Hanyu T. Musha R. Kubo G. Matsumoto Global bifurcation structure in periodically stimulated giant axons of squid Physica D 43 1990 318-334
    • (1990) Physica D , vol.43 , pp. 318-334
    • Takahashi, N.1    Hanyu, Y.2    Musha, T.3    Kubo, R.4    Matsumoto, G.5
  • 46
    • 22244435440 scopus 로고
    • Chaotic itinerancy as a dynamical basis of Hermeneutiocs of brain and mind
    • I. Tsuda Chaotic itinerancy as a dynamical basis of Hermeneutiocs of brain and mind World Futures 32 1991 167-185
    • (1991) World Futures , vol.32 , pp. 167-185
    • Tsuda, I.1
  • 47
    • 0026626764 scopus 로고
    • Dynamic link of memory - Chaotic memory map in neoequilibrium neural networks
    • I. Tsuda Dynamic link of memory - chaotic memory map in neoequilibrium neural networks INNS Neural Networks 5 2 1992 313-326
    • (1992) INNS Neural Networks , vol.5 , Issue.2 , pp. 313-326
    • Tsuda, I.1
  • 48
    • 0035495017 scopus 로고    scopus 로고
    • Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems
    • I. Tsuda Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems Behav. Brain Sci. 24 2001 793-847
    • (2001) Behav. Brain Sci. , vol.24 , pp. 793-847
    • Tsuda, I.1
  • 51
    • 0031277421 scopus 로고    scopus 로고
    • Chaos in neural networks composed of coincident detector neurons
    • M. Watanabe K. Aihara Chaos in neural networks composed of coincident detector neurons INNS Neural Networks 10 8 1997 1353-1359
    • (1997) INNS Neural Networks , vol.10 , Issue.8 , pp. 1353-1359
    • Watanabe, M.1    Aihara, K.2
  • 52
    • 0025260281 scopus 로고
    • Model of biological pattern recognition with spatially chaotic dynamics
    • Y. Yao W. Freeman Model of biological pattern recognition with spatially chaotic dynamics INNS Neural Networks 3 1990 153-170
    • (1990) INNS Neural Networks , vol.3 , pp. 153-170
    • Yao, Y.1    Freeman, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.