Abstract
The paper describes a VLSI viable integrate-and-fire neuron model with an easily controllable firing threshold that can be used to induce synchronization processes. The circuits are intended to exploit both rate and spike time coding schemes, taking advantage of these synchronization processes to accelerate processing tasks. In this way the temporal domain can be exploited in neural computation architectures. A simple neural structure is also discussed, providing simulation results to illustrate how these time coded signals can be combined to perform a simple processing task such as coherent input detection.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
[AL089] A. Alonso, R.R. Llinás, “Subthreshold Na+-dependent theta-like rhythmicity in stellate cells of entorhinal cortex layer II”, Nature, vol. 342, pp. 175–177, 1989.
[ECK88] R. Eckhorn, R. Bauer, W. Jordan, M. Brosch, W. Kruse, M. Munk, H.J. Reitboeck, “Coherent oscillations: A mechanism of feature linking in the visual cortex?”, Biol. Cybern., Vol. 60, pp. 121–130, 1988.
[ECK94] R. Eckhorn, “Oscillatory and non-oscillatory synchronizations in the visual cortex and their possible roles in associations of visual features”, Progress in Brain Research, vol. 102, pp. 405–426, 1994
[ENG91] A.K. Engel, P. König, A.K. Kreiter, W. Singer, “Interhemispheric synchronization of oscillatory neural responses in cat visual cortex”, Science, Vol. 252, pp. 1177–1179, 1991.
[FRE87] W. Freeman, B. W. Dijk, “Spatial patterns of visual cortical fast EEG during conditioned reflex in a rhesus monkey”, Brain Res., Vol. 422, pp. 267–276, 1987.
[GER98] W. Gerstner, “Spiking Neurons”, Pulsed Neural Networks, W. Maas and C.M. Bishop (editors), MIT press, pp. 3–54, 1998.
[GRA89] C.M. Gray, P. König, A.K. Engel, W. Singer, “Oscillatory responses in cat visual cortex exhibit intercolumnar synchronization which reflects global stimulus properties”, Nature, Vol. 338, pp. 334–337, 1989.
[GRA90] C.M. Gray, A.K. Engel, P. König and W. Singer, “Stimulus dependent neuronal oscillations in cat visual cortex: receptive field properties and feature dependence”, Eur. J. Neurosci., vol. 2, pp. 607–619, 1990.
[GRO91] S. Grossberg, D. Somers, “Synchronized oscillations during cooperative feature linking in a cortical model of visual perception”, Neural Networks, vol. 4, pp 453–466, 1991.
[HOP95] J.J. Hopfield, “Pattern recognition computation using, action potential timing for stimulus representation”, Nature, vol. 376, pp. 33–36, 1995.
[KÖN95] P. König, A.K. Engel, P.R. Roelfsema, W. Singer, “How precise is neuronal synchronization?”, Neural Computation, vol. 7, pp. 469–485, 1995.
[MAL86] C. von der Malsburg, W. Scheneider, “A neural cocktail party processor”, Biol. Cybern vol. 54, pp. 29–40, 1986.
[MEA89] C.A. Mead, “Analog VLSI and neural systems”, Addison Wesley, Reading MA, 1989.
[MIR90] R.E. Mirollo, S.H. Strogatz, “Synchronization of pulse-coupled biological oscillators”, SIAM J. Appl. Math., vol. 50, no. 6, pp. 1645–1662, 1990.
[PEL97] F.J. Pelayo, E. Ros, X. Arreguit, A. Prieto, “VLSI implementation of a neural model using spikes”, Analog Integrated Circuits and Signal Processing, Kluwer Academic Publishers, Vol. 13, No. 1/2, pp. 111–121, 1997.
[ROS97a] E. Ros, “Impementación VLSI de Estructuras Neuronales Inspiradas en la Biología”, PhD. Dissertation, University of Granada, 1997.
[ROS97b] E. Ros, F.J. Pelayo, B. Pino, and A. Prieto, “Firing Rate and Phase Coding Circuits for Neural Computation using Spikes”, MicroNeuro'97, Microelectronics for Neural Networks, Evolutionary & Fuzzy Systems, pp. 305–311, September 1997.
[SEJ95] T.J. Sejnowski, “Time for a new neural code?”, Nature, vol. 376, pp. 21–22, 1995.
[SIL94] A.M. Sillito, H.E. Jones, G.L. Gersteln, D.C. West, “Feature-linked synchronization of thalamic relay cell firing induced by feedback from the visual cortex”, Nature, vol. 369, pp. 479–482, 1994.
[THO96] S.J. Thorpe, D. Fize, C. Marlot, “Speed of processing in the human visual system”, Nature, Vol. 381, pp. 520–522, 1996.
[THO98] S.J. Thorpe, J. Gautrais, “Rank Order Coding: A new coding scheme for rapid processing in neural networks”, Computational Neuroscience: Trends in Research, J. Bower (Ed.), New York: Plenum Press.
[TON92] G. Tononi, O. Sporns, G.M. Edelman, “Reentry and the problem of integrating multiple cortical areas: simulation of dynamic integration in the visual system”, Cerebral Cortex, vol. 2, pp. 310–335, 1992.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ros, E., Pelayo, F.J., Rojas, I., Fernández, F.J., Prieto, A. (1999). A VLSI approach for spike timing coding. In: Mira, J., Sánchez-Andrés, J.V. (eds) Engineering Applications of Bio-Inspired Artificial Neural Networks. IWANN 1999. Lecture Notes in Computer Science, vol 1607. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100483
Download citation
DOI: https://doi.org/10.1007/BFb0100483
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66068-2
Online ISBN: 978-3-540-48772-2
eBook Packages: Springer Book Archive