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Laboratory of Computing Biological Networks

threoretical studies of biophysics, neurosciences, and complex networks

Laboratory of Computing Biological Networks

For theoretical and computational studies of structure, dynamics, and functions of biological networks

  • Lab wiki
  • Course materials
  • Google Scholar
  • ORCID: 0000-0002-7664-8300
  • Archive for old site is available at: https://networks.tir.tw/lcbn2019/

Connections

  • Institute of Neuroscience, National Yang Ming Chiao Tung University
  • Institute of Physics, Academia Sinica
  • 台灣計算神經科學學會

Contact

Email: chunchung at tir dot tw

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Recent Posts

  • Criticality from the functional development of a learning machine
  • Complexity and assembly theory
  • Statistical modeling the internal states of a learning machine
  • Data Analysis in Neuroscience, Spring 2023
  • Universal scaling of extinction time in stochastic evolutionary dynamics

Archives

  • March 2024
  • December 2023
  • August 2023
  • February 2023
  • September 2022
  • October 2021
  • March 2021
  • February 2021

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Catagories

  • dynstat
  • Info
  • Literature
  • Paper
  • Presentation

Interesting News

  • Neural criticality from effective latent variables. (arXiv:2301.00759v3 [q-bio.NC] UPDATED)
  • Sequence anticipation and spike-timing-dependent plasticity emerge from a predictive learning rule
  • Detecting Hidden Brain States With Mathematical Models
  • Our Memory for Objects Might Be Better Than We Think
  • How the Brain Stores Remote Fear Memory
  • Scientists Capture Detailed Snapshots of Mouse Brain Cells Nibbling on Neurons
  • Unique Features of Octopus Create an Entirely New Way of Designing a Nervous System
  • Human brain cells in a dish learn to play Pong in real time -- ScienceDaily

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