News
2023
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Sept. 21, 2023: the paper "A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation" is accepted by NeurIPS 2023 [Link].
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June 15, 2023: the paper "Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons" is accepted by Nature Communications [Link].
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June 5, 2023: a new paper is published in Physics Review E. Congratulations, Min Yan!
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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].
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Apr. 20, 2023: Welcome Xinruo Yang to visit our lab from the University of Pittsburgh for two months.
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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.
2022
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Sept. 14, 2022: three papers are accepted at NeurIPS 2022.
1) Translation-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.
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July. 1, 2022: Welcome Eryn Sale join our lab!
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Jan. 26, 2022: new bioRxiv preprint "Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons". [Link]
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2021
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Dec. 21, 2021: Hello World! The first news from the brand new website of Zhang's CNL at UT Southwestern.
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Nov. 1, 2021: The Zhang lab of computational neuroscience (CNL) opened at UT Southwestern.
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I will join UT Southwestern Medical Center, Bioinformatics Department and Peter O'Donnell Jr Brain Institute as an assistant professor since November 1, 2021.
Before 2021
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Oct 9, 2020: I am going to move to University of Chicago, Department of Neurobiology and Grossman Center for Quantitative Biology and Human Behavior, with my current supervisor Prof. Brent Doiron.
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July 22, 2020: my recent manuscript "Distributed Sampling-based Bayesian Inference in Coupled Neural Circuits" appears on bioRxiv 2020. [Link]
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Apr 26, 2020: give an online talk "A Normative Theory of Causal Inference in Neural Circuits" in NeuroChat (in Chinese). [Video]
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Mar 31, 2020: give an online talk "A Normative Theory of Causal Inference in Neural Circuits" in NeuroMatch (an online conference in computational neuroscience).
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Jan 12, 2020: two abstracts are accepted by Cosyne 2020. "Stimulus representation and inference by recurrently coupled neuronal populations."
"Emergence of opposite neurons in a circuit for multisensory processing."
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Nov 27, 2019: give a talk entitled as "Information Integration, Segregation and Causal Inference in Neural Circuits" at Chinese Institute for Brain Research, Beijing, China.
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Nov 5, 2019: poster presentation "Stimulus Representation and Stochastic Inference in Recurrent Circuit based Neural Population Codes" at Howard Hugh Medical Institute, Janelia Farm Research Campus.
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Sept 3, 2019: my paper about "A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits" is accepted by NeurIPS 2019.
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May 22, 2019: my paper about "Complementary Congruent and Opposite Neurons Achieve Concurrent Multisensory Integration and Segregation." is accepted by eLife.
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Apr 2, 2019: receive the travel award of the Sackler Colloquium "The Brain Produces Mind by Modeling'', which will be held at Beckman Center of the National Academies of Sciences, Irvine, CA, May 1-3, 2019.
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Jan 13, 2019: abstract "An egocentric view of neuronal noise correlation" is accepted by Cosyne 2019.
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Nov 13, 2018: Give a talk entitled as "Toward a Complete Theory of Multisensory Processing in the Brain" in the workshop "Neural Coding, Sensing and Navigation" at Hong Kong University of Science and Technology.
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Oct 11, 2018: Give a talk entitled as "Information-augmenting correlation" at Houston NeuroNex Trainee Theory Workshop at Houston.