Abstract
Biologically-realistic artificial neurons and synapses are implemented on analog specific integrated circuits, to offer real-time computation. We present here specific circuits where synaptic interactions are modeled using exponential-decay synapses, which are digitally controlled. The design method is detailed, and experimental measurements on fabricated circuits are presented to illustrate the synaptic mechanisms. We finally propose to exploit the synapses to build a mixed analog-digital neural simulator, where an analog computing core is digitally controlled to simulate synaptic plasticity or learning algorithms.
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References
V. Douence, S. Renaud-Le Masson, S. Saïghi, G. Le Masson, A field-programmable conductance array IC for biological neurons modeling, IWANN’2001, Grenada (Espagne), 2001.
G. Le Masson, S. Renaud-Le Masson, D. Debay, T. Bal, Feedback inhibition controls spike transfer in hybrid thalamic circuits, Nature, 417, 854–858, 2002.
S. Le Masson, A. Laflaquière, D. Dupeyron, T. Bal, G. Le Masson, Analog circuits for modeling biological neural networks: design and applications, IEEE Transactions on Biomedical Engineering, 46-6, 638–645, 1999.
L.F. Abbott, Single neuron dynamics: an introduction, in Neural modeling and neural networks, Pergamon Press, Oxford, 57–78, 1994.
A. Destexhe, Z.F. Mainen, T.J. Sejnowski, Kinetic models of synaptic transmission, in Methods in Neuronal Modeling, Eds C. Koch and I. Segev, MIT Press, Cambridge (MAUSA), 1–26, 1999.
Destexhe, A., Mainen, Z., Sejnowski, T., An efficient method for computing synaptic conductances based on a kinetic model of receptor binding, Neur. Comp., 6, 14–18 (1994).
P.G. Gray, P.J. Hurst, S.H. Lewis, R.G. Meyer, Analysis and design of analog integrated circuits, Ed. John Wiley and Sons, New York, 2001.
C. Toumazou, F.J. Lidgey, D..G. Haigh, Analogue IC design: the current-mode approach, Peter Peregrinus, London, 1990.
C. Saint, J. Saint, IC Mask Design, McGraw-Hill, New-York, 2002.
C. Morris, H. Lecar, Voltage oscillations in the barnacle giant muscle fiber, Biophys. J., 35, 193–213.
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Alvado, L., Saïghi, S., Tomas, J., Renaud, S. (2003). An Exponential-Decay Synapse Integrated Circuit For Bio-inspired Neural Networks.. In: Mira, J., Álvarez, J.R. (eds) Computational Methods in Neural Modeling. IWANN 2003. Lecture Notes in Computer Science, vol 2686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44868-3_85
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DOI: https://doi.org/10.1007/3-540-44868-3_85
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