Randall C. O’Reilly

The paper tests if synaptic plasticity depends on the temporal derivative of neural activity, finding LTP for positive derivatives and LTD for negative ones, with no change in stable conditions.

This study investigates how OFC gamma oscillations and hippocampal ripples interact during rapid spatial learning in humans using iEEG recordings.

The paper shows grid cells decorrelate position representations and act as a pattern separation device, similar to a hash function, enhancing episodic memory.

This study builds a neural network model of the EC-HPC system showing that EC2a supports pattern separation through recurrent inhibition and conjunctive coding, while EC2b/3 supports generalization.

This paper shows that drift in temporal context representations in a hippocampal model enhances recall and explains spacing effects through decontextualization and error-driven learning.

This study explores how cognitive control affects the geometry of cognitive maps in the brain and in neural networks, showing stable and context-dependent representations that relate to task demands.

The paper introduces a computational model called Theremin that uses error-driven learning in the hippocampus to improve episodic memory function and learning speed compared to Hebbian learning models.