Alexis M. Dubreuil

This paper introduces Neural Latching Switch Circuits (NLSC) as a framework for implementing finite-state automata in neural networks, showing their applicability to various cognitive processes.

This paper introduces Neural Latching Switch Circuits as modular components for implementing procedural behaviors and demonstrates their mapping to brain areas.

This study shows that population structure and dynamical dimensionality complement each other in shaping neural computations, with non-random structures enabling flexible input-output mappings.

This paper shows that grid cell ensembles can represent multiple spatial maps, challenging the idea that they encode only a single universal grid map.

The paper investigates how cortical architectures can implement short-term memory through transient dynamics or reverberating activity, showing serial and parallel architectures are better for each mechanism respectively.