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Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons
Wen-Hao Zhang, Si Wu, Krešimir Josić, Brent Doiron
doi: https://doi.org/10.1101/2022.01.26.477877
Wen-Hao Zhang
1Departments of Neurobiology and Statistics, University of Chicago, Chicago, IL, USA
2Grossman Center for Quantiative Biology and Human Behavior, University of Chicago, Chicago, IL, USA
3Department of Mathematics, University of Pittsburgh, Pittsburgh, PA, USA
4Center for the Neural Basis of Cognition, Pittsburgh, PA, USA
Si Wu
5School of Electronics Engineering and Computer Science, IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
Krešimir Josić
6Department of Mathematics, University of Houston, TX, USA
7Department of Biology and Biochemistry, University of Houston, TX, USA
Brent Doiron
1Departments of Neurobiology and Statistics, University of Chicago, Chicago, IL, USA
2Grossman Center for Quantiative Biology and Human Behavior, University of Chicago, Chicago, IL, USA
3Department of Mathematics, University of Pittsburgh, Pittsburgh, PA, USA
4Center for the Neural Basis of Cognition, Pittsburgh, PA, USA
Posted January 28, 2022.
Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons
Wen-Hao Zhang, Si Wu, Krešimir Josić, Brent Doiron
bioRxiv 2022.01.26.477877; doi: https://doi.org/10.1101/2022.01.26.477877
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