Loren Koçillari

The paper uses PID to analyze how stimulus information is distributed and shared across cortical networks in ferrets during perceptual decisions, finding that faster decisions involve more redundant information across functionally coupled sites.

MINT is a toolbox for analyzing multivariate neural information coding and transmission using information theory and dimensionality reduction, applied to simulated and real neural data.

The paper develops bias correction methods for Partial Information Decomposition (PID) in neural data, improving estimates of synergy and redundancy in mouse brain regions.

The paper measures redundant and synergistic functional connectivity in mouse auditory cortex during a perceptual task, finding that connected neuron pairs show more redundancy and less synergy than unconnected pairs.

This study examines how stroke affects neural criticality in individual brain models and shows recovery over time linked to white matter remodeling.

The paper investigates how neuronal networks in mouse auditory cortex encode behavioral choice during pure-tone discrimination tasks, finding that specialized neurons transmit task-relevant information sequentially.

The paper identifies three archetypes of time preference for reward in humans, linking them to brain structure, functional connectivity, and socio-economic traits.