Input rate encoding and gain control in dendrites of neocortical pyramidal neurons.

Autor:	Dembrow NC; Epilepsy Center of Excellence, Veterans Affairs Puget Sound Healthcare System, Seattle, WA 98108, USA; Department of Physiology & Biophysics, University of Washington, Seattle, WA 98195, USA., Spain WJ; Epilepsy Center of Excellence, Veterans Affairs Puget Sound Healthcare System, Seattle, WA 98108, USA; Department of Physiology & Biophysics, University of Washington, Seattle, WA 98195, USA; Department of Neurology, University of Washington, Seattle, WA 98195, USA. Electronic address: spain@uw.edu.
Jazyk:	angličtina
Zdroj:	Cell reports [Cell Rep] 2022 Feb 15; Vol. 38 (7), pp. 110382.
DOI:	10.1016/j.celrep.2022.110382
Abstrakt:	Elucidating how neurons encode network activity is essential to understanding how the brain processes information. Neocortical pyramidal cells receive excitatory input onto spines distributed along dendritic branches. Local dendritic branch nonlinearities can boost the response to spatially clustered and synchronous input, but how this translates into the integration of patterns of ongoing activity remains unclear. To examine dendritic integration under naturalistic stimulus regimes, we use two-photon glutamate uncaging to repeatedly activate multiple dendritic spines at random intervals. In the proximal dendrites of two populations of layer 5 pyramidal neurons in the mouse motor cortex, spatially restricted synchrony is not a prerequisite for dendritic boosting. Branches encode afferent inputs with distinct rate sensitivities depending upon cell and branch type. Thus, inputs distributed along a dendritic branch can recruit supralinear boosting and the window of this nonlinearity may provide a mechanism by which dendrites can preferentially amplify slow-frequency network oscillations. Competing Interests: Declaration of interests The authors declare no competing interests. (Published by Elsevier Inc.)
Databáze:	MEDLINE
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