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. 21, 2023: the paper "A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation" is accepted by NeurIPS 2023.
June 15, 2023: the paper "Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons" is accepted by Nature Communications.
June 5, 2023: a new paper is published in Physics Review E. Congratulations, Min Yan!
M. Yan, W.H. Zhang, H. Wang, K.Y.M. Wong. Bimodular continuous attractor neural networks with static and moving stimuli, Physics Review E 2023 [Link].
Apr. 20, 2023: Welcome Xinruo Yang to visit our lab from the University of Pittsburgh for two months.
Mar 2, 2023: our whole department moves to a newly renovated space at J9 located in the south campus which is tailored to computational researchers. We can watch the skyline of downtown Dallas. Welcome to stop by to talk about science and have a cup of coffee.