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      Dendritic computation.

      1 ,
      Annual review of neuroscience
      Annual Reviews

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          Abstract

          One of the central questions in neuroscience is how particular tasks, or computations, are implemented by neural networks to generate behavior. The prevailing view has been that information processing in neural networks results primarily from the properties of synapses and the connectivity of neurons within the network, with the intrinsic excitability of single neurons playing a lesser role. As a consequence, the contribution of single neurons to computation in the brain has long been underestimated. Here we review recent work showing that neuronal dendrites exhibit a range of linear and nonlinear mechanisms that allow them to implement elementary computations. We discuss why these dendritic properties may be essential for the computations performed by the neuron and the network and provide theoretical and experimental examples to support this view.

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          Author and article information

          Journal
          Annu Rev Neurosci
          Annual review of neuroscience
          Annual Reviews
          0147-006X
          0147-006X
          2005
          : 28
          Affiliations
          [1 ] Wolfson Institute for Biomedical Research and Department of Physiology, University College London, London WC1E 6BT, UK. m.london@ucl.ac.uk
          Article
          10.1146/annurev.neuro.28.061604.135703
          16033324
          ec1c5759-6168-4f05-9952-eb4897b78245
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