Sussillo reviews the use of recurrent neural networks (RNNs) to study cortical neurons.  RNNs can explain the high-dimensional, mixed-selectivity properties and oscillatory temporal dynamics of cortical neurons.  They share many features of cortical networks including feedback, nonlinearity, and parallel and distributed computing

About the Author

The Miller Lab uses experimental and theoretical approaches to study the neural basis of the high-level cognitive functions that underlie complex goal-directed behavior.