Silicon synaptic depression.

C Rasche; R H Hahnloser

doi:10.1007/s004220170004

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Silicon synaptic depression.

C Rasche·R H Hahnloser

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Abstract

The recent quantitative description of activity-dependent depression in the synaptic transmission between cortical neurons has lead to many interesting suggestions of possible computational implications. Based on a simple biological model, we have constructed an analog circuit that emulates the properties of short-term depressing synapses. The circuit comprises only seven transistors and two capacitors per synapse, and is able to reproduce computational features of depressing synapses such as the 1/F law, the detection of long intervals of presynaptic silence and the sensitivity to redistribution of presynaptic firing rates. It provides a useful basis for implementing neural networks with dynamical synapses.

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Computer Simulation Excitatory Postsynaptic Potentials Models, Neurological Neural Inhibition Silicon Synapses Journal Article Research Support, Non-U.S. Gov't

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C Rasche, R H Hahnloser. 2001. Silicon synaptic depression.. https://doi.org/10.1007/s004220170004

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