Yan-Liang Shi

Mice infer stimulus-side priors from recent choices; prior signals are decodable pre-stimulus in 24.0% to 30.2% of 242 brain regions, including early visual and motor areas.

The paper presents a brain-wide neural activity map from 621,733 neurons across 139 mice performing a decision-making task, showing how neural activity encodes task variables across brain regions.

The paper analyzes intrinsic neural timescales across the entire mouse brain, revealing spatial patterns and a multiscale architecture of timescale diversity.

The paper measures intrinsic timescales in the visual cortex during attention tasks and finds they change with attention and spatial connectivity.

The paper describes a modular data architecture for a neuroscience collaboration, enabling data contribution, access, and analysis across multiple labs.

The paper investigates how On-Off dynamics and selective attention shape spatial patterns of correlated variability in neocortex using columnar recordings and a network model.