Crossref journal-article
Proceedings of the National Academy of Sciences
Proceedings of the National Academy of Sciences (341)
Abstract

The collective behavior of interconnected spiking nerve cells is investigated. It is shown that a variety of model systems exhibit the same short-time behavior and rapidly converge to (approximately) periodic firing patterns with locally synchronized action potentials. The dynamics of one model can be described by a downhill motion on an abstract energy landscape. Since an energy landscape makes it possible to understand and program computation done by an attractor network, the results will extend our understanding of collective computation from models based on a firing-rate description to biologically more realistic systems with integrate-and-fire neurons.

Bibliography

Hopfield, J. J., & Herz, A. V. (1995). Rapid local synchronization of action potentials: toward computation with coupled integrate-and-fire neurons. Proceedings of the National Academy of Sciences, 92(15), 6655–6662.

Authors 2
  1. J J Hopfield (first)
  2. A V Herz (additional)
References 0 Referenced 230

None

Dates
Type When
Created 19 years, 2 months ago (May 31, 2006, 9:16 a.m.)
Deposited 3 years, 4 months ago (April 13, 2022, 1:51 p.m.)
Indexed 1 month, 2 weeks ago (July 11, 2025, 6:26 a.m.)
Issued 30 years, 1 month ago (July 18, 1995)
Published 30 years, 1 month ago (July 18, 1995)
Published Online 30 years, 1 month ago (July 18, 1995)
Published Print 30 years, 1 month ago (July 18, 1995)
Funders 0

None

@article{Hopfield_1995, title={Rapid local synchronization of action potentials: toward computation with coupled integrate-and-fire neurons.}, volume={92}, ISSN={1091-6490}, url={http://dx.doi.org/10.1073/pnas.92.15.6655}, DOI={10.1073/pnas.92.15.6655}, number={15}, journal={Proceedings of the National Academy of Sciences}, publisher={Proceedings of the National Academy of Sciences}, author={Hopfield, J J and Herz, A V}, year={1995}, month=jul, pages={6655–6662} }