most citedUsing Firing-Rate Dynamics to Train Recurrent Networks of Spiking Model Neurons

38 citations · 38 across the 1 of their papers we have counts for

collaborators

1 paper

q-bio.NC2016★ 38 cited

Using Firing-Rate Dynamics to Train Recurrent Networks of Spiking Model Neurons

Brian DePasquale, Mark M. Churchland, L. F. Abbott

Recurrent neural networks are powerful tools for understanding and modeling computation and representation by populations of neurons. Continuous-variable or "rate" model networks h…