Anna Lebedeva

This study identifies the dorsal prefrontal cortex, specifically anterior supplementary motor cortex, as a driver of perseverative behavior in mice during a reward learning task.

The paper shows that layer 2/3 and layer 5 excitatory neurons in the mouse visual cortex encode visual and nonvisual signals differently, with L2/3 more responsive to visual stimuli and L5 more responsive to movement.

The paper shows that GABAergic signaling from VIP interneurons is essential for visual recovery after monocular deprivation in adult mice, while peptidergic signaling is not.

DREDge improves motion correction in high-density extracellular recordings across species, enhancing reliability and reducing errors in electrophysiological data.

The paper introduces UnitMatch, a pipeline for tracking neurons across recordings using spike waveforms, showing stability in visual cortex and changes in striatum during learning.

Repix enables reliable, reusable, and versatile chronic Neuropixels recordings in unrestrained animals over months, with minimal user training and high stability.

This paper introduces a neuron tracking method using non-rigid alignment of spike sorted clusters to identify the same neurons across multiple days in high density electrophysiology recordings, achieving an 84% average recovery rate.

The paper shows that sound-evoked activity in mouse visual cortex is stereotyped and predictable from behavioral responses, suggesting it arises from low-dimensional internal state signals rather than direct multisensory integration.

The paper introduces Neuropixels 2.0, a high-density probe for long-term brain recordings, and demonstrates its stability across months in multiple labs and species.