Temporally Dependent Plasticity: An Information Theoretic Account

Chechik, Gal, Tishby, Naftali

Neural Information Processing Systems 

It should be stressed that in our model information is coded in the non-stationary rates that underlie the input spike trains. As these rates are not observable, any learning must depends on the observable input spikes that realize those underlying rates.

Similar Docs  Excel Report  more

TitleSimilaritySource
None found