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Neural networks of different species, brain areas and states can be characterized by the probability polling state.
Xu, Zhi-Qin John; Gu, Xiaowei; Li, Chengyu; Cai, David; Zhou, Douglas; McLaughlin, David W.
Affiliation
  • Xu ZJ; School of Mathematical Sciences, MOE-LSC and Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, China.
  • Gu X; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
  • Li C; University of Chinese Academy of Sciences, Beijing, China.
  • Cai D; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
  • Zhou D; School of Mathematical Sciences, MOE-LSC and Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, China.
  • McLaughlin DW; Courant Institute of Mathematical Sciences and Center for Neural Science, New York University, New York, NY, USA.
Eur J Neurosci ; 52(7): 3790-3802, 2020 10.
Article in En | MEDLINE | ID: mdl-32533744
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Neurons Type of study: Prognostic_studies Limits: Animals Language: En Journal: Eur J Neurosci Journal subject: NEUROLOGIA Year: 2020 Document type: Article Affiliation country: China
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Neurons Type of study: Prognostic_studies Limits: Animals Language: En Journal: Eur J Neurosci Journal subject: NEUROLOGIA Year: 2020 Document type: Article Affiliation country: China