Ji Hyun Bak

Spyglass provides a reproducible and shareable framework for neuroscience research, enabling data reuse and analysis across labs using standardized formats and pipelines.

The paper identifies and mitigates bias in neural data models by resolving non-identifiability, showing that coupling is overestimated and tuning is underestimated in common methods.

This paper introduces a method to analyze time-varying decision-making strategies in animals and applies it to data from mice, rats, and humans.

The paper shows that human olfactory receptor codes have a modular structure reflecting key olfactory features in odor perception.

The paper analyzes odorant-receptor interactions using a kinetic model to characterize OR activation statistics and their implications for odor perception.