Luis Carrillo‐Reid

The paper identifies striatal modules that process basic visual features through electrophysiological recordings of spiny projection neurons.

The paper uses computational methods to analyze neural activity in the mouse dmPFC during fear conditioning, revealing learning-dependent changes in network topology and hub formation.

The paper uses machine learning to identify and target cortical ensembles in mouse visual cortex, demonstrating the feasibility of closed-loop experiments with precise manipulation of functional ensembles.

The paper studies how retinal neuronal ensembles process natural images by analyzing their synchronized activity in response to visual stimuli.

The paper shows that activating specific pattern completion neurons in mouse visual cortex can improve or disrupt visual task performance, suggesting a causal role for neuronal ensembles in behavior.

The paper demonstrates a holographic system for 3D two-photon stimulation and imaging of neural activity in the mouse neocortex in vivo with cellular resolution.