4.7 Article

Dendritic Mechanisms for In Vivo Neural Computations and Behavior

期刊

JOURNAL OF NEUROSCIENCE
卷 42, 期 45, 页码 8460-8467

出版社

SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.1132-22.2022

关键词

dendrites; behavior; in vivo; modeling; neural networks; learning

资金

  1. National Institutes of Health [R01NS106031]
  2. Department of Brain and Cognitive Sciences at Massachusetts Institute of Technology
  3. University of Bordeaux (Initiative of Excellence)
  4. Region Nouvelle-Aquitaine
  5. Centre National de la Recherche Scientifique/Institut National de la Sante et de la Recherche Medicale ATIP-Avenir program
  6. European Union [MSCA-IF 845956]
  7. NHMRC [APP1086082, APP1063533]
  8. Australian Research Council [DP160103047]
  9. Sylvia and Charles Viertel Charitable Foundation
  10. Smith Family Awards Program for Excellence in Biomedical Research
  11. Air Force Office of Scientific Research Award [FA9550-22-1-0344]

向作者/读者索取更多资源

Dendrites receive and process input signals from neurons, playing a crucial role in brain function. Recent research using new experimental and computational technologies has revealed the importance of dendrites in brain work and provided new theoretical insights. Studies have found that dendrites actively mediate sensory perception and learning, contributing to our understanding of both biological and artificial neural computation.
Dendrites receive the vast majority of a single neuron's inputs, and coordinate the transformation of these signals into neuro-nal output. Ex vivo and theoretical evidence has shown that dendrites possess powerful processing capabilities, yet little is known about how these mechanisms are engaged in the intact brain or how they influence circuit dynamics. New experimen-tal and computational technologies have led to a surge in interest to unravel and harness their computational potential. This review highlights recent and emerging work that combines established and cutting-edge technologies to identify the role of dendrites in brain function. We discuss active dendritic mediation of sensory perception and learning in neocortical and hip-pocampal pyramidal neurons. Complementing these physiological findings, we present theoretical work that provides new insights into the underlying computations of single neurons and networks by using biologically plausible implementations of dendritic processes. Finally, we present a novel brain-computer interface task, which assays somatodendritic coupling to study the mechanisms of biological credit assignment. Together, these findings present exciting progress in understanding how dendrites are critical for in vivo learning and behavior, and highlight how subcellular processes can contribute to our understanding of both biological and artificial neural computation.

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