Guido Gigante

This paper trains a generative model on neural data to reveal violations of the Independent Race Model's assumptions in a stop task.

MosAICo is an AI system for automated mosquito species identification, achieving high accuracy and out-of-distribution detection across multiple geographic regions.

This paper introduces a reinforcement learning agent that exhibits signal neutrality, scalar property, and collapsing boundaries, suggesting these are emergent properties of multi-timescale information processing in decision-making.

The paper modifies a generalized linear model to better capture non-stationary and non-linear spiking dynamics in neural networks using in-vitro data.

The paper applies density-based clustering to multi-channel neural data to analyze dynamic complexity and infer synaptic couplings in neural networks.