A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity
Indiveri G, Chicca E, Douglas RJ (2006)
IEEE Transactions on Neural Networks 17(1): 211-221.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
Autor*in
Indiveri, G.;
Chicca, ElisabettaUniBi
;
Douglas, R. J.
![](https://pub.uni-bielefeld.de/images/icon_orcid.png)
Einrichtung
Abstract / Bemerkung
We present a mixed-mode analog/digital VLSI device comprising an array of leaky integrate-and-fire (I&F) neurons, adaptive synapses with spike-timing dependent plasticity, and an asynchronous event based communication infrastructure that allows the user to (re)con figure networks of spiking neurons with arbitrary topologies. The asynchronous communication protocol used by the silicon neurons to transmit spikes (events) off-chip and the silicon synapses to receive spikes from the outside is based on the "address-event representation" (AER). We describe the analog circuits designed to implement the silicon neurons and synapses and present experimental data showing the neuron's response properties and the synapses characteristics, in response to AER input spike trains. Our results indicate that these circuits can be used in massively parallel VLSI networks of I&F neurons to simulate real-time complex spike-based learning algorithms.
Stichworte
spike-based learning;
address-event representation (AER);
neuromorphic circuits;
spike-timing;
analog VLSI;
integrate-and-fire (I &;
F) neurons;
dependent plasticity (STDP)
Erscheinungsjahr
2006
Zeitschriftentitel
IEEE Transactions on Neural Networks
Band
17
Ausgabe
1
Seite(n)
211-221
ISSN
1045-9227
Page URI
https://pub.uni-bielefeld.de/record/2426586
Zitieren
Indiveri G, Chicca E, Douglas RJ. A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. IEEE Transactions on Neural Networks. 2006;17(1):211-221.
Indiveri, G., Chicca, E., & Douglas, R. J. (2006). A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. IEEE Transactions on Neural Networks, 17(1), 211-221. https://doi.org/10.1109/TNN.2005.860850
Indiveri, G., Chicca, Elisabetta, and Douglas, R. J. 2006. “A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity”. IEEE Transactions on Neural Networks 17 (1): 211-221.
Indiveri, G., Chicca, E., and Douglas, R. J. (2006). A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. IEEE Transactions on Neural Networks 17, 211-221.
Indiveri, G., Chicca, E., & Douglas, R.J., 2006. A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. IEEE Transactions on Neural Networks, 17(1), p 211-221.
G. Indiveri, E. Chicca, and R.J. Douglas, “A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity”, IEEE Transactions on Neural Networks, vol. 17, 2006, pp. 211-221.
Indiveri, G., Chicca, E., Douglas, R.J.: A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. IEEE Transactions on Neural Networks. 17, 211-221 (2006).
Indiveri, G., Chicca, Elisabetta, and Douglas, R. J. “A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity”. IEEE Transactions on Neural Networks 17.1 (2006): 211-221.
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Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms.
Petrovici MA, Vogginger B, Müller P, Breitwieser O, Lundqvist M, Muller L, Ehrlich M, Destexhe A, Lansner A, Schüffny R, Schemmel J, Meier K., PLoS One 9(10), 2014
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Multiprotocol-induced plasticity in artificial synapses.
Kornijcuk V, Kavehei O, Lim H, Seok JY, Kim SK, Kim I, Lee WS, Choi BJ, Jeong DS., Nanoscale 6(24), 2014
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Kornijcuk V, Kavehei O, Lim H, Seok JY, Kim SK, Kim I, Lee WS, Choi BJ, Jeong DS., Nanoscale 6(24), 2014
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A carbon nanotube synapse with dynamic logic and learning.
Kim K, Chen CL, Truong Q, Shen AM, Chen Y., Adv Mater 25(12), 2013
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Kim K, Chen CL, Truong Q, Shen AM, Chen Y., Adv Mater 25(12), 2013
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A low energy oxide-based electronic synaptic device for neuromorphic visual systems with tolerance to device variation.
Yu S, Gao B, Fang Z, Yu H, Kang J, Wong HS., Adv Mater 25(12), 2013
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Yu S, Gao B, Fang Z, Yu H, Kang J, Wong HS., Adv Mater 25(12), 2013
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A learning-enabled neuron array IC based upon transistor channel models of biological phenomena.
Brink S, Nease S, Hasler P, Ramakrishnan S, Wunderlich R, Basu A, Degnan B., IEEE Trans Biomed Circuits Syst 7(1), 2013
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Brink S, Nease S, Hasler P, Ramakrishnan S, Wunderlich R, Basu A, Degnan B., IEEE Trans Biomed Circuits Syst 7(1), 2013
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An FPGA Implementation of a Polychronous Spiking Neural Network with Delay Adaptation.
Wang R, Cohen G, Stiefel KM, Hamilton TJ, Tapson J, van Schaik A., Front Neurosci 7(), 2013
PMID: 23408739
Wang R, Cohen G, Stiefel KM, Hamilton TJ, Tapson J, van Schaik A., Front Neurosci 7(), 2013
PMID: 23408739
STDP and STDP variations with memristors for spiking neuromorphic learning systems.
Serrano-Gotarredona T, Masquelier T, Prodromakis T, Indiveri G, Linares-Barranco B., Front Neurosci 7(), 2013
PMID: 23423540
Serrano-Gotarredona T, Masquelier T, Prodromakis T, Indiveri G, Linares-Barranco B., Front Neurosci 7(), 2013
PMID: 23423540
Six networks on a universal neuromorphic computing substrate.
Pfeil T, Grübl A, Jeltsch S, Müller E, Müller P, Petrovici MA, Schmuker M, Brüderle D, Schemmel J, Meier K., Front Neurosci 7(), 2013
PMID: 23423583
Pfeil T, Grübl A, Jeltsch S, Müller E, Müller P, Petrovici MA, Schmuker M, Brüderle D, Schemmel J, Meier K., Front Neurosci 7(), 2013
PMID: 23423583
Computing with networks of spiking neurons on a biophysically motivated floating-gate based neuromorphic integrated circuit.
Brink S, Nease S, Hasler P., Neural Netw 45(), 2013
PMID: 23541925
Brink S, Nease S, Hasler P., Neural Netw 45(), 2013
PMID: 23541925
A neuromorphic VLSI design for spike timing and rate based synaptic plasticity.
Rahimi Azghadi M, Al-Sarawi S, Abbott D, Iannella N, Iannella N., Neural Netw 45(), 2013
PMID: 23566339
Rahimi Azghadi M, Al-Sarawi S, Abbott D, Iannella N, Iannella N., Neural Netw 45(), 2013
PMID: 23566339
Design of silicon brains in the nano-CMOS era: spiking neurons, learning synapses and neural architecture optimization.
Cassidy AS, Georgiou J, Andreou AG., Neural Netw 45(), 2013
PMID: 23886551
Cassidy AS, Georgiou J, Andreou AG., Neural Netw 45(), 2013
PMID: 23886551
Low-temperature fabrication of spiking soma circuits using nanocrystalline-silicon TFTs.
Subramaniam A, Cantley KD, Stiegler HJ, Chapman RA, Vogel EM., IEEE Trans Neural Netw Learn Syst 24(9), 2013
PMID: 24808583
Subramaniam A, Cantley KD, Stiegler HJ, Chapman RA, Vogel EM., IEEE Trans Neural Netw Learn Syst 24(9), 2013
PMID: 24808583
Spike-timing dependent plasticity in a transistor-selected resistive switching memory.
Ambrogio S, Balatti S, Nardi F, Facchinetti S, Ielmini D., Nanotechnology 24(38), 2013
PMID: 23999495
Ambrogio S, Balatti S, Nardi F, Facchinetti S, Ielmini D., Nanotechnology 24(38), 2013
PMID: 23999495
Finding a roadmap to achieve large neuromorphic hardware systems.
Hasler J, Marr B., Front Neurosci 7(), 2013
PMID: 24058330
Hasler J, Marr B., Front Neurosci 7(), 2013
PMID: 24058330
Reward-based learning under hardware constraints-using a RISC processor embedded in a neuromorphic substrate.
Friedmann S, Frémaux N, Schemmel J, Gerstner W, Meier K., Front Neurosci 7(), 2013
PMID: 24065877
Friedmann S, Frémaux N, Schemmel J, Gerstner W, Meier K., Front Neurosci 7(), 2013
PMID: 24065877
Neuron array with plastic synapses and programmable dendrites.
Ramakrishnan S, Wunderlich R, Hasler J, George S., IEEE Trans Biomed Circuits Syst 7(5), 2013
PMID: 24144669
Ramakrishnan S, Wunderlich R, Hasler J, George S., IEEE Trans Biomed Circuits Syst 7(5), 2013
PMID: 24144669
Stochastic learning in oxide binary synaptic device for neuromorphic computing.
Yu S, Gao B, Fang Z, Yu H, Kang J, Wong HS., Front Neurosci 7(), 2013
PMID: 24198752
Yu S, Gao B, Fang Z, Yu H, Kang J, Wong HS., Front Neurosci 7(), 2013
PMID: 24198752
Hardware friendly probabilistic spiking neural network with long-term and short-term plasticity.
Hsieh HY, Tang KT., IEEE Trans Neural Netw Learn Syst 24(12), 2013
PMID: 24805223
Hsieh HY, Tang KT., IEEE Trans Neural Netw Learn Syst 24(12), 2013
PMID: 24805223
Experimental implementation of a biometric laser synaptic sensor.
Pisarchik AN, Sevilla-Escoboza R, Jaimes-Reátegui R, Huerta-Cuellar G, García-Lopez JH, Kazantsev VB., Sensors (Basel) 13(12), 2013
PMID: 24351638
Pisarchik AN, Sevilla-Escoboza R, Jaimes-Reátegui R, Huerta-Cuellar G, García-Lopez JH, Kazantsev VB., Sensors (Basel) 13(12), 2013
PMID: 24351638
"Machine" consciousness and "artificial" thought: an operational architectonics model guided approach.
Fingelkurts AA, Fingelkurts AA, Neves CF., Brain Res 1428(), 2012
PMID: 21130079
Fingelkurts AA, Fingelkurts AA, Neves CF., Brain Res 1428(), 2012
PMID: 21130079
Small-signal neural models and their applications.
Basu A., IEEE Trans Biomed Circuits Syst 6(1), 2012
PMID: 23852746
Basu A., IEEE Trans Biomed Circuits Syst 6(1), 2012
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Asynchronous event-based binocular stereo matching.
Rogister P, Benosman R, Ieng SH, Lichtsteiner P, Delbruck T., IEEE Trans Neural Netw Learn Syst 23(2), 2012
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Rogister P, Benosman R, Ieng SH, Lichtsteiner P, Delbruck T., IEEE Trans Neural Netw Learn Syst 23(2), 2012
PMID: 24808513
Emergent Auditory Feature Tuning in a Real-Time Neuromorphic VLSI System.
Sheik S, Coath M, Indiveri G, Denham SL, Wennekers T, Chicca E., Front Neurosci 6(), 2012
PMID: 22347163
Sheik S, Coath M, Indiveri G, Denham SL, Wennekers T, Chicca E., Front Neurosci 6(), 2012
PMID: 22347163
VLSI circuits implementing computational models of neocortical circuits.
Wijekoon JH, Dudek P., J Neurosci Methods 210(1), 2012
PMID: 22342970
Wijekoon JH, Dudek P., J Neurosci Methods 210(1), 2012
PMID: 22342970
Dynamic state and parameter estimation applied to neuromorphic systems.
Neftci EO, Toth B, Indiveri G, Abarbanel HD., Neural Comput 24(7), 2012
PMID: 22428591
Neftci EO, Toth B, Indiveri G, Abarbanel HD., Neural Comput 24(7), 2012
PMID: 22428591
A neuro-inspired spike-based PID motor controller for multi-motor robots with low cost FPGAs.
Jimenez-Fernandez A, Jimenez-Moreno G, Linares-Barranco A, Dominguez-Morales MJ, Paz-Vicente R, Civit-Balcells A., Sensors (Basel) 12(4), 2012
PMID: 22666004
Jimenez-Fernandez A, Jimenez-Moreno G, Linares-Barranco A, Dominguez-Morales MJ, Paz-Vicente R, Civit-Balcells A., Sensors (Basel) 12(4), 2012
PMID: 22666004
Spiking neuron computation with the time machine.
Garg V, Shekhar R, Harris JG., IEEE Trans Biomed Circuits Syst 6(2), 2012
PMID: 23852979
Garg V, Shekhar R, Harris JG., IEEE Trans Biomed Circuits Syst 6(2), 2012
PMID: 23852979
Neural learning circuits utilizing nano-crystalline silicon transistors and memristors.
Cantley KD, Subramaniam A, Stiegler HJ, Chapman RA, Vogel EM., IEEE Trans Neural Netw Learn Syst 23(4), 2012
PMID: 24805040
Cantley KD, Subramaniam A, Stiegler HJ, Chapman RA, Vogel EM., IEEE Trans Neural Netw Learn Syst 23(4), 2012
PMID: 24805040
Energy-efficient neuron, synapse and STDP integrated circuits.
Cruz-Albrecht JM, Yung MW, Srinivasa N., IEEE Trans Biomed Circuits Syst 6(3), 2012
PMID: 23853146
Cruz-Albrecht JM, Yung MW, Srinivasa N., IEEE Trans Biomed Circuits Syst 6(3), 2012
PMID: 23853146
A spiking neuron circuit based on a carbon nanotube transistor.
Chen CL, Kim K, Truong Q, Shen A, Li Z, Chen Y., Nanotechnology 23(27), 2012
PMID: 22710137
Chen CL, Kim K, Truong Q, Shen A, Li Z, Chen Y., Nanotechnology 23(27), 2012
PMID: 22710137
Hardware implementation of stochastic spiking neural networks.
Rosselló JL, Canals V, Morro A, Oliver A., Int J Neural Syst 22(4), 2012
PMID: 22830964
Rosselló JL, Canals V, Morro A, Oliver A., Int J Neural Syst 22(4), 2012
PMID: 22830964
Spike-timing-dependent plasticity with weight dependence evoked from physical constraints.
Bamford SA, Murray AF, Willshaw DJ., IEEE Trans Biomed Circuits Syst 6(4), 2012
PMID: 23853183
Bamford SA, Murray AF, Willshaw DJ., IEEE Trans Biomed Circuits Syst 6(4), 2012
PMID: 23853183
Adaptive visual and auditory map alignment in barn owl superior colliculus and its neuromorphic implementation.
Huo J, Murray A, Wei D., IEEE Trans Neural Netw Learn Syst 23(9), 2012
PMID: 24807931
Huo J, Murray A, Wei D., IEEE Trans Neural Netw Learn Syst 23(9), 2012
PMID: 24807931
Silicon-based dynamic synapse with depressing response.
Dowrick T, Hall S, McDaid LJ., IEEE Trans Neural Netw Learn Syst 23(10), 2012
PMID: 24807998
Dowrick T, Hall S, McDaid LJ., IEEE Trans Neural Netw Learn Syst 23(10), 2012
PMID: 24807998
Ultrafast all-optical implementation of a leaky integrate-and-fire neuron.
Kravtsov KS, Fok MP, Prucnal PR, Rosenbluth D., Opt Express 19(3), 2011
PMID: 21369031
Kravtsov KS, Fok MP, Prucnal PR, Rosenbluth D., Opt Express 19(3), 2011
PMID: 21369031
Silicon-Neuron Design: A Dynamical Systems Approach.
Arthur JV, Boahen K., IEEE Trans Circuits Syst I Regul Pap 58(5), 2011
PMID: 21617741
Arthur JV, Boahen K., IEEE Trans Circuits Syst I Regul Pap 58(5), 2011
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Robust Working Memory in an Asynchronously Spiking Neural Network Realized with Neuromorphic VLSI.
Giulioni M, Camilleri P, Mattia M, Dante V, Braun J, Del Giudice P., Front Neurosci 5(), 2011
PMID: 22347151
Giulioni M, Camilleri P, Mattia M, Dante V, Braun J, Del Giudice P., Front Neurosci 5(), 2011
PMID: 22347151
A library of analog operators based on the hodgkin-huxley formalism for the design of tunable, real-time, silicon neurons.
Saïghi S, Bornat Y, Tomas J, Le Masson G, Renaud S., IEEE Trans Biomed Circuits Syst 5(1), 2011
PMID: 23850974
Saïghi S, Bornat Y, Tomas J, Le Masson G, Renaud S., IEEE Trans Biomed Circuits Syst 5(1), 2011
PMID: 23850974
A novel rotate-and-fire digital spiking neuron and its neuron-like bifurcations and responses.
Hishiki T, Torikai H., IEEE Trans Neural Netw 22(5), 2011
PMID: 21550873
Hishiki T, Torikai H., IEEE Trans Neural Netw 22(5), 2011
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Analog memory and spike-timing-dependent plasticity characteristics of a nanoscale titanium oxide bilayer resistive switching device.
Seo K, Kim I, Jung S, Jo M, Park S, Park J, Shin J, Biju KP, Kong J, Lee K, Lee B, Hwang H., Nanotechnology 22(25), 2011
PMID: 21572200
Seo K, Kim I, Jung S, Jo M, Park S, Park J, Shin J, Biju KP, Kong J, Lee K, Lee B, Hwang H., Nanotechnology 22(25), 2011
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A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.
Brüderle D, Petrovici MA, Vogginger B, Ehrlich M, Pfeil T, Millner S, Grübl A, Wendt K, Müller E, Schwartz MO, de Oliveira DH, Jeltsch S, Fieres J, Schilling M, Müller P, Breitwieser O, Petkov V, Muller L, Davison AP, Krishnamurthy P, Kremkow J, Lundqvist M, Muller E, Partzsch J, Scholze S, Zühl L, Mayr C, Destexhe A, Diesmann M, Potjans TC, Lansner A, Schüffny R, Schemmel J, Meier K., Biol Cybern 104(4-5), 2011
PMID: 21618053
Brüderle D, Petrovici MA, Vogginger B, Ehrlich M, Pfeil T, Millner S, Grübl A, Wendt K, Müller E, Schwartz MO, de Oliveira DH, Jeltsch S, Fieres J, Schilling M, Müller P, Breitwieser O, Petkov V, Muller L, Davison AP, Krishnamurthy P, Kremkow J, Lundqvist M, Muller E, Partzsch J, Scholze S, Zühl L, Mayr C, Destexhe A, Diesmann M, Potjans TC, Lansner A, Schüffny R, Schemmel J, Meier K., Biol Cybern 104(4-5), 2011
PMID: 21618053
Floating gate synapses with spike-time-dependent plasticity.
Ramakrishnan S, Hasler PE, Gordon C., IEEE Trans Biomed Circuits Syst 5(3), 2011
PMID: 23851475
Ramakrishnan S, Hasler PE, Gordon C., IEEE Trans Biomed Circuits Syst 5(3), 2011
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Automated parameter estimation of the Hodgkin-Huxley model using the differential evolution algorithm: application to neuromimetic analog integrated circuits.
Buhry L, Grassia F, Giremus A, Grivel E, Renaud S, Saïghi S., Neural Comput 23(10), 2011
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Buhry L, Grassia F, Giremus A, Grivel E, Renaud S, Saïghi S., Neural Comput 23(10), 2011
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Short-term plasticity and long-term potentiation mimicked in single inorganic synapses.
Ohno T, Hasegawa T, Tsuruoka T, Terabe K, Gimzewski JK, Aono M., Nat Mater 10(8), 2011
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Ohno T, Hasegawa T, Tsuruoka T, Terabe K, Gimzewski JK, Aono M., Nat Mater 10(8), 2011
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A systematic method for configuring VLSI networks of spiking neurons.
Neftci E, Chicca E, Indiveri G, Douglas R., Neural Comput 23(10), 2011
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Neftci E, Chicca E, Indiveri G, Douglas R., Neural Comput 23(10), 2011
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A Model of Stimulus-Specific Adaptation in Neuromorphic Analog VLSI.
Mill R, Sheik S, Indiveri G, Denham SL., IEEE Trans Biomed Circuits Syst 5(5), 2011
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Mill R, Sheik S, Indiveri G, Denham SL., IEEE Trans Biomed Circuits Syst 5(5), 2011
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Biophysical Neural Spiking, Bursting, and Excitability Dynamics in Reconfigurable Analog VLSI.
Yu T, Sejnowski TJ, Cauwenberghs G., IEEE Trans Biomed Circuits Syst 5(5), 2011
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Yu T, Sejnowski TJ, Cauwenberghs G., IEEE Trans Biomed Circuits Syst 5(5), 2011
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Large developing receptive fields using a distributed and locally reprogrammable address-event receiver.
Bamford SA, Murray AF, Willshaw DJ., IEEE Trans Neural Netw 21(2), 2010
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Bamford SA, Murray AF, Willshaw DJ., IEEE Trans Neural Netw 21(2), 2010
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Analog VLSI Biophysical Neurons and Synapses With Programmable Membrane Channel Kinetics.
Yu T, Cauwenberghs G., IEEE Trans Biomed Circuits Syst 4(3), 2010
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Yu T, Cauwenberghs G., IEEE Trans Biomed Circuits Syst 4(3), 2010
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A spiking neural network model of the medial superior olive using spike timing dependent plasticity for sound localization.
Glackin B, Wall JA, McGinnity TM, Maguire LP, McDaid LJ., Front Comput Neurosci 4(), 2010
PMID: 20802855
Glackin B, Wall JA, McGinnity TM, Maguire LP, McDaid LJ., Front Comput Neurosci 4(), 2010
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Rate and pulse based plasticity governed by local synaptic state variables.
Mayr CG, Partzsch J., Front Synaptic Neurosci 2(), 2010
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Mayr CG, Partzsch J., Front Synaptic Neurosci 2(), 2010
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Neural dynamics in reconfigurable silicon.
Basu A, Ramakrishnan S, Petre C, Koziol S, Brink S, Hasler PE., IEEE Trans Biomed Circuits Syst 4(5), 2010
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Basu A, Ramakrishnan S, Petre C, Koziol S, Brink S, Hasler PE., IEEE Trans Biomed Circuits Syst 4(5), 2010
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Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity.
Bill J, Schuch K, Brüderle D, Schemmel J, Maass W, Meier K., Front Comput Neurosci 4(), 2010
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Bill J, Schuch K, Brüderle D, Schemmel J, Maass W, Meier K., Front Comput Neurosci 4(), 2010
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Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI.
Mitra S, Fusi S, Indiveri G., IEEE Trans Biomed Circuits Syst 3(1), 2009
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Mitra S, Fusi S, Indiveri G., IEEE Trans Biomed Circuits Syst 3(1), 2009
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Fast and robust learning by reinforcement signals: explorations in the insect brain.
Huerta R, Nowotny T., Neural Comput 21(8), 2009
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Huerta R, Nowotny T., Neural Comput 21(8), 2009
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Compact silicon neuron circuit with spiking and bursting behaviour.
Wijekoon JH, Dudek P., Neural Netw 21(2-3), 2008
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Wijekoon JH, Dudek P., Neural Netw 21(2-3), 2008
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Real-time reconfigurable subthreshold CMOS perceptron.
Aunet S, Oelmann B, Norseng PA, Berg Y., IEEE Trans Neural Netw 19(4), 2008
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Transistor analogs of emergent iono-neuronal dynamics.
Rachmuth G, Poon CS., HFSP J 2(3), 2008
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Rachmuth G, Poon CS., HFSP J 2(3), 2008
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Minimizing the effect of process mismatch in a neuromorphic system using spike-timing-dependent adaptation.
Cameron K, Murray A., IEEE Trans Neural Netw 19(5), 2008
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Cameron K, Murray A., IEEE Trans Neural Netw 19(5), 2008
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Adaptive gain control for spike-based map communication in a neuromorphic vision system.
Meng Y, Shi BE., IEEE Trans Neural Netw 19(6), 2008
PMID: 18541501
Meng Y, Shi BE., IEEE Trans Neural Netw 19(6), 2008
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The linearity of emergent spectro-temporal receptive fields in a model of auditory cortex.
Coath M, Balaguer-Ballester E, Denham SL, Denham M., Biosystems 94(1-2), 2008
PMID: 18616976
Coath M, Balaguer-Ballester E, Denham SL, Denham M., Biosystems 94(1-2), 2008
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Neuromorphic VLSI Models of Selective Attention: From Single Chip Vision Sensors to Multi-chip Systems.
Indiveri G., Sensors (Basel) 8(9), 2008
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Indiveri G., Sensors (Basel) 8(9), 2008
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Dynamically reconfigurable silicon array of spiking neurons with conductance-based synapses.
Vogelstein RJ, Mallik U, Vogelstein JT, Cauwenberghs G., IEEE Trans Neural Netw 18(1), 2007
PMID: 17278476
Vogelstein RJ, Mallik U, Vogelstein JT, Cauwenberghs G., IEEE Trans Neural Netw 18(1), 2007
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Adaptive WTA with an analog VLSI neuromorphic learning chip.
Häfliger P., IEEE Trans Neural Netw 18(2), 2007
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Häfliger P., IEEE Trans Neural Netw 18(2), 2007
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Implementing spiking neural networks for real-time signal-processing and control applications: a model-validated FPGA approach.
Pearson MJ, Pipe AG, Mitchinson B, Gurney K, Melhuish C, Gilhespy I, Nibouche M., IEEE Trans Neural Netw 18(5), 2007
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Pearson MJ, Pipe AG, Mitchinson B, Gurney K, Melhuish C, Gilhespy I, Nibouche M., IEEE Trans Neural Netw 18(5), 2007
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Synaptic dynamics in analog VLSI.
Bartolozzi C, Indiveri G., Neural Comput 19(10), 2007
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A biologically inspired spiking neural network for sound source lateralization.
Voutsas K, Adamy J., IEEE Trans Neural Netw 18(6), 2007
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Voutsas K, Adamy J., IEEE Trans Neural Netw 18(6), 2007
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An address-event vision sensor for multiple transient object detection.
Chan V, Jin C, van Schaik A., IEEE Trans Biomed Circuits Syst 1(4), 2007
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Chan V, Jin C, van Schaik A., IEEE Trans Biomed Circuits Syst 1(4), 2007
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Eluding oblivion with smart stochastic selection of synaptic updates.
Fusi S, Senn W., Chaos 16(2), 2006
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