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Related Experiment Videos

Dendritic computation.

Michael London1, Michael Häusser

  • 1Wolfson Institute for Biomedical Research and Department of Physiology, University College London, London WC1E 6BT, UK. m.london@ucl.ac.uk

Annual Review of Neuroscience
|July 22, 2005
PubMed
Summary
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Neural dendrites, not just synapses, perform computations in the brain. This review highlights how neuronal dendrites

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cellular Neuroscience

Background:

  • The prevailing neuroscience view emphasizes synaptic properties and network connectivity for information processing.
  • The role of intrinsic neuronal excitability and dendritic computation has been historically underestimated.
  • Understanding neural computation requires investigating all levels of neuronal function.

Purpose of the Study:

  • To review recent findings on dendritic mechanisms for computation.
  • To highlight the importance of neuronal dendrites in implementing elementary computations.
  • To discuss the theoretical and experimental evidence supporting the role of dendrites in neural networks.

Main Methods:

  • Review of current literature on neuronal dendrites and computation.

Related Experiment Videos

  • Analysis of theoretical models of dendritic information processing.
  • Examination of experimental evidence demonstrating dendritic computational capabilities.

    • Main Results:

    • Neuronal dendrites possess diverse linear and nonlinear mechanisms for computation.
    • These dendritic properties enable the implementation of elementary computational operations.
    • Dendritic computations are crucial for the overall function of neurons and neural networks.

    Conclusions:

    • Dendritic mechanisms are essential components of neural computation.
    • Re-evaluation of the contribution of single neurons, particularly their dendrites, to brain function is warranted.
    • Future research should further explore the computational power of dendritic structures.