Author: chunchung

Theoretical and computational physicist with interest in biological networks

Web: networks.tir.tw

by 0 comments on "Criticality from the functional development of a learning machine"

APS March Meeting 2024, Monday–Friday, March 4–8, 2024; Minneapolis & VirtualSession S28: Statistical Physics Meets Machine Learning I, 8:00 AM–11:00 AM, Thursday, March 7, 2024, Room 101I Abstract: S28.00005 : Criticality from the functional development of a learning machine Time: 9:12 AM–9:24 AM Presenter: Ting-Kuo Lee (National Tsing Hua University)Author: Ting-Kuo Lee (National Tsing Hua University) With increasing integrations…

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by 0 comments on "Statistical modeling the internal states of a learning machine"

Presented in STATPHYS28 Satellite Meeting – Emergence in Biological Networks Abstract With increasing integration of artificial intelligence in our everyday life, the understanding and accountability of the solutions provided by machines are ever more important. This parallels the study of animal brains and biological neural networks. Instead of tracing out microscopic details of the neural…

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by 0 comments on "Data Analysis in Neuroscience, Spring 2023"

Offered by Institute of Neuroscience, National Yang Ming Chiao Tung University, this course is intended to provide an overview on the statistical, analytic, and computational tools that are commonly used in the research field of neuroscience. It will focus on characterizing the strength and applicability of various data analytical approaches in some more intuitive than…

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by 0 comments on "Universal scaling of extinction time in stochastic evolutionary dynamics"

Ching-I Huang, Chun-Chung Chen, Hsiu-Hau Lin Scientific Reports 12, Article number: 22403 (2022) DOI: 10.1038/s41598-022-27102-0 Evolutionary dynamics is well captured by the replicator equations when the population is infinite and well-mixed. However, the extinction dynamics is modified with finite and structured populations. Experiments on the non-transitive ecosystem containing three populations of bacteria found that the…

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by 0 comments on "Computational Neuroscience, Fall of 2022"

Offered by Institute of Neuroscience, National Yang Ming Chiao Tung University, this course covers fundamental aspects of computational approaches to neuroscience problems, including: analytical modeling, numerical calculations, data processing, visualization, and functional applications. For more information: https://cc.tir.tw/wk/2022cns

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by 0 comments on "Elevation of hilar mossy cell activity suppresses hippocampal excitability and avoidance behavior"

Kai-Yi Wang, Jei-Wei Wu, Jen-Kun Cheng, Chun-Chung Chen, Wai-Yi Wong, Robert G. Averkin, Gábor Tamás, Kazu Nakazawa, Cheng-Chang Lien Cell Reports 36, no. 11 (2021) https://doi.org/10.1016/j.celrep.2021.109702 Modulation of hippocampal dentate gyrus (DG) excitability regulates anxiety. In the DG, glutamatergic mossy cells (MCs) receive the excitatory drive from principal granule cells (GCs) and mediate the feedback…

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by 0 comments on "Ubiquitous proximity to a critical state for collective neural activity in the CA1 region of freely moving mice"

Yi-Ling Chen, Chun-Chung Chen, Yu-Ying Mei, Ning Zhou, Dongchuan Wu, Ting-Kuo Lee https://arxiv.org/abs/2102.13300 Using miniscope recordings of calcium fluorescence signals in the CA1 region of the hippocampus of mice, we monitor the neural activity of hippocampal regions while the animals are freely moving in an open chamber. Using a data-driven statistical modeling approach, the statistical…

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by 0 comments on "Astrocytic Regulation of Synchronous Bursting in Cortical Cultures: From Local to Global"

Ravi Kumar, Yu-Ting Huang, Chun-Chung Chen, Shun-Fen Tzeng, and Chi-Keung ChanCerebral Cortex Communications 1 (1): tgaa053 (2020). https://doi.org/10.1093/texcom/tgaa053. Synchronous bursting (SB) is ubiquitous in neuronal networks and independent of network structure. Although it is known to be driven by glutamatergic neurotransmissions, its underlying mechanism remains unclear. Recent studies show that local glutamate recycle by astrocytes…

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