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

28 Jan 2016Brian DePasqualeMark M. ChurchlandL. 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 have been analyzed and applied extensively for these purposes... (read more)

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