Hopfield JJ, Brody CD. (2004). Learning rules and network repair in spike-timing-based computation networks. Proceedings of the National Academy of Sciences of the United States of America. 101 [PubMed]

See more from authors: Hopfield JJ · Brody CD

References and models cited by this paper
References and models that cite this paper

Basalyga G, Salinas E. (2006). When response variability increases neural network robustness to synaptic noise. Neural computation. 18 [PubMed]

Bohte SM, Mozer MC. (2007). Reducing the variability of neural responses: a computational theory of spike-timing-dependent plasticity. Neural computation. 19 [PubMed]

Brader JM, Senn W, Fusi S. (2007). Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural computation. 19 [PubMed]

Florian RV. (2007). Reinforcement learning through modulation of spike-timing-dependent synaptic plasticity. Neural computation. 19 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.