Bridging the neural circuit and cognition via computational neuroscience
Welcome to the Computational Neuroscience Lab (CNL) at UT Southwestern Medical Center, directed by Wen-hao Zhang. Our lab combines normative theories and biologically plausible neural circuit models to study the principles of neural information processing, in order to answer how perception, cognition, and behavior emerge from neural circuits.
To conduct this interdisciplinary research, we combine techniques from nonlinear dynamics, Bayesian inference, neural coding, information theory, representation theory, etc. Meanwhile, we collaborate closely with experimental neuroscientists to verify our theories and models.
Sept. 14, 2022: three papers are accepted at NeurIPS 2022.
1) Equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors.
2) Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and
Procession of Hippocampal Place Cells.
3) Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks.
Sept. 1, 2022: Welcome Xiangyu Ma visit our lab from Hong Kong University of Science and Technology.
July. 1, 2022: Welcome Eryn Sale join our lab!
Jan. 26, 2022: new bioRxiv preprint "Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons". [Link]
Dec. 21, 2021: Hello World! The first news from the brand new website of Zhang's CNL at UT Southwestern.
Nov. 1, 2021: The Zhang lab of computational neuroscience (CNL) opened at UT Southwestern.