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Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation.
Zhang, Qian; Zeng, Yi; Zhang, Tielin; Yang, Taoyi.
Afiliação
  • Zhang Q; Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China.
  • Zeng Y; University of Chinese Academy of Sciences, Beijing, China.
  • Zhang T; Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China.
  • Yang T; University of Chinese Academy of Sciences, Beijing, China.
Front Syst Neurosci ; 15: 628839, 2021.
Article em En | MEDLINE | ID: mdl-34566587
Elucidating the multi-scale detailed differences between the human brain and other brains will help shed light on what makes us unique as a species. Computational models help link biochemical and anatomical properties to cognitive functions and predict key properties of the cortex. Here, we present a detailed human neocortex network, with all human neuron parameters derived from the newest Allen Brain human brain cell database. Compared with that of rodents, the human neural network maintains more complete and accurate information under the same graphic input. Unique membrane properties in human neocortical neurons enhance the human brain's capacity for signal processing.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Syst Neurosci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Syst Neurosci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Suíça