full-FORCE: A Target-Based Method for Training Recurrent Networks

1 code implementation • 9 Oct 2017 • Brian DePasquale, Christopher J. Cueva, Kanaka Rajan, G. Sean Escola, L. F. Abbott

We present a target-based method for modifying the full connectivity matrix of a recurrent network to train it to perform tasks involving temporally complex input/output transformations.

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

1 code implementation • 28 Jan 2016 • 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.

Neurons and Cognition