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Hyperexcitable Neurons Enable Precise and Persistent Information Encoding in the Superficial Retrosplenial Cortex.
Brennan, Ellen K W; Sudhakar, Shyam Kumar; Jedrasiak-Cape, Izabela; John, Tibin T; Ahmed, Omar J.
Afiliação
  • Brennan EKW; Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA; Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA.
  • Sudhakar SK; Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Jedrasiak-Cape I; Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA.
  • John TT; Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA; Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA.
  • Ahmed OJ; Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA; Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI 48109, USA; Kresge Hearing Research Institute,
Cell Rep ; 30(5): 1598-1612.e8, 2020 02 04.
Article em En | MEDLINE | ID: mdl-32023472
The retrosplenial cortex (RSC) is essential for memory and navigation, but the neural codes underlying these functions remain largely unknown. Here, we show that the most prominent cell type in layers 2/3 (L2/3) of the mouse granular RSC is a hyperexcitable, small pyramidal cell. These cells have a low rheobase (LR), high input resistance, lack of spike frequency adaptation, and spike widths intermediate to those of neighboring fast-spiking (FS) inhibitory neurons and regular-spiking (RS) excitatory neurons. LR cells are excitatory but rarely synapse onto neighboring neurons. Instead, L2/3 is a feedforward, not feedback, inhibition-dominated network with dense connectivity between FS cells and from FS to LR neurons. Biophysical models of LR but not RS cells precisely and continuously encode sustained input from afferent postsubicular head-direction cells. Thus, the distinct intrinsic properties of LR neurons can support both the precision and persistence necessary to encode information over multiple timescales in the RSC.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Giro do Cíngulo / Neurônios Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Cell Rep Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Giro do Cíngulo / Neurônios Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Cell Rep Ano de publicação: 2020 Tipo de documento: Article