Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models.Recurrent neural network (RNN) models trained to perform cognitive tasks are a useful computational tool for understanding how cortical circuits execute complex computations.  Here, we developed a method to directly train not only synaptic-related variables but also membrane-related parameters of a spiking RNN model. 
RNN