We are interested in understanding how collective activities in a neural circuit give rise to complex behaviors. To address this question, we strive to precisely describe the behavior of interest, to identify the neural computations that drive such behavior, and to elucidate the underlying biophysical mechanisms by which neurons and synapses implement such computations.

To this end, we currently study the brain, mind and behavior within small and optically transparent model organisms, notably C. elegans and larval zebrafish, through diverse experimental and computational approaches. We innovate optical tools designed for high-resolution whole-brain calcium imaging under naturalistic behaviors, as well as data curation pipeline for rapid inference and quantitative analysis of neural dynamics and behaviors. The integration of brain activity maps, connectome, genetics, and behavioral data allows us to construct computational models aimed at elucidating the principles of neural code that underpin sensorimotor behaviors. Specifically, we focus on the structure-function relationship of neural networks, motor control, the geometry of neural code, and the spatiotemporal neural dynamics intrinsic to naturalistic behavior.

Every week, we will discuss an interesting paper in the field of systems and computational neuroscience. Please check https://cneuroustc.github.io/