{"id":50602,"date":"2024-05-29T18:42:49","date_gmt":"2024-05-29T10:42:49","guid":{"rendered":"https:\/\/swarma.org\/?p=50602"},"modified":"2024-05-29T18:42:49","modified_gmt":"2024-05-29T10:42:49","slug":"%e4%b8%b4%e7%95%8c%e7%a5%9e%e7%bb%8f%e9%9b%aa%e5%b4%a9%e5%8d%8f%e8%b0%83%e7%a5%9e%e7%bb%8f%e5%93%8d%e5%ba%94%e5%8f%af%e9%9d%a0%e6%80%a7%e4%b8%8e%e6%95%8f%e6%84%9f%e6%80%a7%e5%ae%9e%e7%8e%b0%e6%9c%80","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=50602","title":{"rendered":"\u4e34\u754c\u795e\u7ecf\u96ea\u5d29\u534f\u8c03\u795e\u7ecf\u54cd\u5e94\u53ef\u9760\u6027\u4e0e\u654f\u611f\u6027\u5b9e\u73b0\u6700\u4f73\u4fe1\u606f\u8868\u5f81\u4e28\u8ba1\u7b97\u795e\u7ecf\u79d1\u5b66\u8bfb\u4e66\u4f1a\u00b7\u5468\u56db\u76f4\u64ad"},"content":{"rendered":"
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[Review about neural criticality and E-I balance] Liang, Junhao, Zhuda Yang, and Changsong Zhou. “Excitation\u2013Inhibition Balance, Neural Criticality, and Activities in Neuronal Circuits.” The Neuroscientist (2024): 10738584231221766.<\/span><\/section>\n
[Example of branching process] P. Moretti and M. A. Mu\u00f1oz, Griffiths Phases and the Stretching of Criticality in Brain Networks, Nat. Commun. 4, 2521 (2013)<\/span><\/section>\n
[Example of branching process] Ku\u015bmierz, \u0141ukasz, Shun Ogawa, and Taro Toyoizumi. “Edge of chaos and avalanches in neural networks with heavy-tailed synaptic weight distribution.” Physical Review Letters<\/em> 125.2 (2020): 028101.<\/span><\/section>\n
[Example of branching process] Corral L\u00f3pez, Roberto, V\u00edctor Buend\u00eda, and Miguel A. Mu\u00f1oz. “Excitatory-inhibitory branching process: A parsimonious view of cortical asynchronous states, excitability, and criticality.” Physical Review Research<\/em> 4.4 (2022): L042027.<\/span><\/section>\n
[Neural variability and sensitivity] O. Kinouchi and M. Copelli, Optimal Dynamical Range of Excitable Networks at Criticality, Nat. Phys. 2, 348 (2006).<\/span><\/section>\n
[Neural variability and sensitivity] S. H. Gautam, T. T. Hoang, K. McClanahan, S. K. Grady, and W. L. Shew, Maximizing Sensory Dynamic Range by Tuning the Cortical State to Criticality, PLOS Comput. Biol. 11, e1004576 (2015).<\/span><\/section>\n
[Neural variability and sensitivity] W. L. Shew, H. Yang, T. Petermann, R. Roy, and D. Plenz, Neuronal Avalanches Imply Maximum Dynamic Range in Cortical Networks at Criticality<\/em>, J. Neurosci. 29, 15595 (2009).<\/span><\/section>\n
[Neural variability and sensitivity] W. P. Clawson, N. C. Wright, R. Wessel, and W. L. Shew, Adaptation towards Scale-Free Dynamics Improves Cortical Stimulus Discrimination at the Cost of Reduced Detection<\/em>, PLOS Comput. Biol. 13, e1005574 (2017).<\/span><\/section>\n
[Tempotron] R. G\u00fctig and H. Sompolinsky, The Tempotron: A Neuron That Learns Spike Timing\u2013Based Decisions, Nat. Neurosci. 9, 3 (2006).<\/span><\/section>\n
[Tempotron] G. Lajoie, K. K. Lin, J.-P. Thivierge, and E. Shea-Brown, Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems, PLOS Comput. Biol. 12, e1005258 (2016).<\/span><\/section>\n

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