PMID: 9527834Apr 4, 1998Paper

Synaptic delay learning in pulse-coupled neurons

Neural Computation
H HüningG Palm

Abstract

We present rules for the unsupervised learning of coincidence between excitatory postsynaptic potentials (EPSPs) by the adjustment of postsynaptic delays between the transmitter binding and the opening of ion channels. Starting from a gradient descent scheme, we develop a robust and more biological threshold rule by which EPSPs from different synapses can be gradually pulled into coincidence. The synaptic delay changes are determined from the summed potential--at the site where the coincidence is to be established--and from postulated synaptic learning functions that accompany the individual EPSPs. According to our scheme, templates for the detection of spatiotemporal patterns of synaptic activation can be learned, which is demonstrated by computer simulation. Finally, we discuss possible relations to biological mechanisms.

References

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Citations

Dec 28, 2005·Neural Computation·Eugene M Izhikevich
Dec 14, 2005·IEEE Transactions on Neural Networks·Katherine CameronDavid Renshaw
Jul 5, 2006·Network : Computation in Neural Systems·Volker SteuberArjen Van Ooyen
Jul 29, 2009·Neural Networks : the Official Journal of the International Neural Network Society·Reinoud Maex, Volker Steuber
Oct 25, 2000·Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics·T Ohira, T Yamane
Aug 23, 2019·Proceedings of the National Academy of Sciences of the United States of America·E Paxon Frady, Friedrich T Sommer

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