Cliff C. Kerr

This paper trains spiking neuronal network models to play a virtual racket-ball game using reinforcement learning and evaluates different circuit architectures and learning rules.

NetPyNE is a tool for creating multiscale neuronal network models in NEURON using declarative specifications, enabling efficient simulation and analysis of brain circuits.

This paper develops a neural mass model incorporating spike-frequency adaptation to study seizure dynamics, showing adaptation and inhibition control pathological synchronization in epilepsy.