Jeremy Keith Seamans

The paper identifies neural signatures of resource-based and resistance-based cognitive control in rats during delay discounting tasks using electrophysiological recordings.

The paper develops a machine learning pipeline to analyze behavioral data and shows that ACC neurons modulate their responses to behaviors based on emotional context.

HUB-DT is a tool for unsupervised behavioural discovery and analysis in behaving animals, aiming to overcome limitations of traditional and supervised methods.

The paper shows that de novo LTD is critical for forming and maintaining hippocampal CA1 place fields during novel environment exploration in rats.

This study shows that ACC neuron ensembles undergo abrupt, coordinated changes in representing rewarded and nonrewarded levers when rats transition from exploration to exploitation.