Yangfan Peng

The paper shows that brain regions use a shared ring manifold to represent time, with population activity evolving along a common trajectory to encode elapsed time through traversal speed modulation.

This study uses deep neurobehavioral phenotyping to identify neural features associated with gait deficits in Parkinson's disease, revealing biomarkers for potential therapeutic applications.

The paper identifies higher-order thalamus as a critical node in schizophrenia pathophysiology, showing that restoring its activity can normalize connected brain regions.

The paper characterizes neuronal and synaptic diversity in human layer 2-3 pyramidal neurons across individuals, finding that neuronal physiology varies with laminar depth while synaptic properties are consistent.

The paper shows that reward expectations during goal-directed reaching are encoded in distributed neural population dynamics across brain regions.

This paper introduces a high-throughput in-vitro multipatch setup for analyzing microcircuits in human brain tissue, enabling the study of synaptic connections across multiple neurons.