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

Xu, Zhi-Qin John; Gu, Xiaowei; Li, Chengyu; Cai, David; Zhou, Douglas; McLaughlin, David W.

Afiliación

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 en En | MEDLINE | ID: mdl-32533744

Asunto(s)

Redes Neurales de la Computación; Neuronas; Animales; Encéfalo; Entropía; Ratones; Modelos Neurológicos; Probabilidad

Palabras clave

coding; cortical state; maximum entropy; network; neuroscience

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Neuronas Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Eur J Neurosci Asunto de la revista: NEUROLOGIA Año: 2020 Tipo del documento: Article País de afiliación: China

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