39 citations · 39 across the 2 of their papers we have counts for
3 papers
q-bio.NC2010★ 39 cited
Theory of spike timing based neural classifiers
Ran Rubin, Remi Monasson, Haim Sompolinsky
We study the computational capacity of a model neuron, the Tempotron, which classifies sequences of spikes by linear-threshold operations. We use statistical mechanics and extreme…
q-bio.NC2009
Stimulus-dependent correlations in threshold-crossing spiking neurons
Yoram Burak, Sam Lewallen, Haim Sompolinsky
We consider a threshold-crossing spiking process as a simple model for the activity within a population of neurons. Assuming that these neurons are driven by a common fluctuating i…
cond-mat.dis-nn2004
Short-Term Memory in Orthogonal Neural Networks
Olivia L. White, Daniel D. Lee, Haim Sompolinsky
We study the ability of linear recurrent networks obeying discrete time dynamics to store long temporal sequences that are retrievable from the instantaneous state of the network.…