Maxwell Gillett

The paper shows that varying external inputs to a network with heterogeneous plasticity rules can control retrieval speed and generate distinct preparatory and execution activity patterns.

The paper investigates how temporally asymmetric Hebbian learning in neural networks generates sequential activity that matches experimental observations.