Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems

Jimmy T. H. Smith, Scott W. Linderman, David Sussillo

Recurrent neural networks (RNNs) are powerful models for processing time-series data, but it remains challenging to understand how they function. Improving this understanding is of…