criticality

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…

Read More Statistical modeling the internal states of a learning machine

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…

Read More Ubiquitous proximity to a critical state for collective neural activity in the CA1 region of freely moving mice