Kyle Aitken

This study shows how rapid learning in mice involves structured changes in motor cortex connectivity, rerouting preparatory activity to control a conditioned neuron.

This paper introduces a simple synaptic learning mechanism that enables a neural network to detect novelty in three distinct forms, demonstrating how basic plasticity can generate diverse novelty responses.

This paper analyzes the neural population dynamics of a multi-plasticity network (MPN) that uses synaptic modulations for short-term computation, finding it outperforms RNNs on neuroscience tasks with simpler attractor structures.

The paper examines representational drift in mouse visual cortex neurons, finding it occurs along high-variance directions and is similar to dropout in artificial neural networks, suggesting a computational advantage.