Anjesh Ghimire

The paper introduces a Digital Homecage system for long-term, high-resolution behavioral and physiological monitoring in mice, revealing circadian patterns and enabling longitudinal analysis of chronic conditions.

SpikeCleaner labels unit quality after automated spike sorting, achieving high accuracy in classifying units as good, noise, or multi-unit activity.

The paper investigates neurotype matching in prairie voles by manipulating early-life sleep experience and uses deep learning to analyze social interactions.

This study maps the developmental timeline of parvalbumin interneurons and related markers in prairie voles, identifying a sensitive period for somatosensory cortex maturation linked to social touch.

This study quantifies sleep EEG changes in a SCA3 mouse model, finding increased REM duration, beta power, and spectral alterations in homozygous mice compared to wild-type.