title: Silicon synaptic depression.
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.
authors.affiliation: Institute of Neuroinformatics, ETHZ/UNIZH, Zürich, Switzerland. rasche@klab.caltech.edu
authors.forename: C
authors.initials: C
authors.lastname: Rasche
authors.forename: R H
authors.initials: RH
authors.lastname: Hahnloser
mesh_terms: D003198:Computer Simulation; D019706:Excitatory Postsynaptic Potentials / Q000502:physiology; D008959:Models, Neurological; D009433:Neural Inhibition / Q000502:physiology*; D012825:Silicon; D013569:Synapses / Q000502:physiology*
chemical_list: D012825:Silicon