Temporally Dependent Plasticity: An Information Theoretic Account
–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.
Neural Information Processing Systems
Dec-31-2001