Stefano Fusi

The paper analyzes neural activity in non-human primates during time delays to understand working memory and time encoding mechanisms, finding that time can be decoded with high precision and neural trajectories are low dimensional.

The paper shows that the medial frontal cortex flexibly uses memory-based representations during decision-making, while the medial temporal lobe does not show similar task-dependent changes.

The paper shows that position, direction, and speed in the hippocampus are encoded by overlapping neuronal ensembles in dentate gyrus and CA1, suggesting a distributed neural code rather than single-cell specialization.

This study uses 2-photon calcium imaging to show that hippocampal network reorganization underlies temporal association memory formation, challenging theories of persistent activity.

This paper proposes recurrent attractor neural networks with sparse connectivity to overcome classification limitations in feed-forward networks with limited neuron connections.

The paper shows that hippocampal neurons in monkeys encode spatial and non-spatial features differently during two virtual navigation tasks, leading to task-specific population codes.

This paper shows that Hebbian learning in a random neural network can replicate mixed selectivity properties observed in prefrontal cortex neurons during complex tasks.

The paper shows that deviations from the matching law in foraging behavior reflect an optimal strategy using multi-timescale learning to balance bias and variance under uncertainty.