Yina Wei

The paper analyzes the mouse brain connectome to show that specific neuron connection patterns and modules contribute to global dynamical stability rather than optimal processing capacity.

The paper identifies three organizational principles of post-synaptic sites in the mouse brain using a statistical approach and validates them across species and with electrophysiological data.

This study investigates theta-nested gamma oscillations in navigation, showing they balance prediction and alertness by linking theta frequency to motion velocity.

The paper links in vitro, in vivo, and in silico cell classes in mouse visual cortex using computational modeling and optotagging experiments to identify distinct clusters with specific properties.

The paper generates and evaluates over 130 million single-neuron models with active conductances to link electrophysiology, morphology, and transcriptomics across cortical cell types.

This study creates two high-resolution anatomical atlases of prenatal human brains at PCW 15 and 21, annotated with gene expression and cytoarchitecture to identify developmental features.

This study uses computational models to show that sensory stimulation during specific phases of slow-wave sleep enhances memory consolidation by affecting slow-wave patterns and replay.

This study shows sleep spindles and slow oscillations each play distinct roles in memory consolidation, with spindles enabling independent memory replay and slow oscillations favoring strong memories, as observed in natural sleep.