Terrence C. Stewart

This paper develops a hybrid model combining intrinsic and learned behaviours to explain how dopaminergic drugs affect motivation in complex foraging tasks.

This paper introduces a computational model of the basal ganglia that uses vector-symbolic algebras to represent continuous action spaces, addressing limitations of traditional discrete models.

This study uses computational models to explore how aging-related changes like axonal loss and input noise affect cognitive slowing in a simple task, finding that axonal loss and noise cause significant slowing while neuronal loss paradoxically reduces it.

The paper presents a neural model of steering behavior in silkworm moths that integrates olfactory input and path integration signals to guide movement.

The paper presents a spiking-neuron model of human working memory using calcium-mediated synaptic plasticity, showing it can perform tasks as accurately as humans.