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      Computational subunits in thin dendrites of pyramidal cells.

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          Abstract

          The thin basal and oblique dendrites of cortical pyramidal neurons receive most of the synaptic inputs from other cells, but their integrative properties remain uncertain. Previous studies have most often reported global linear or sublinear summation. An alternative view, supported by biophysical modeling studies, holds that thin dendrites provide a layer of independent computational 'subunits' that sigmoidally modulate their inputs prior to global summation. To distinguish these possibilities, we combined confocal imaging and dual-site focal synaptic stimulation of identified thin dendrites in rat neocortical pyramidal neurons. We found that nearby inputs on the same branch summed sigmoidally, whereas widely separated inputs or inputs to different branches summed linearly. This strong spatial compartmentalization effect is incompatible with a global summation rule and provides the first experimental support for a two-layer 'neural network' model of pyramidal neuron thin-branch integration. Our findings could have important implications for the computing and memory-related functions of cortical tissue.

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          Author and article information

          Journal
          Nat Neurosci
          Nature neuroscience
          Springer Science and Business Media LLC
          1097-6256
          1097-6256
          Jun 2004
          : 7
          : 6
          Affiliations
          [1 ] Department of Physiology, Technion Medical School, Bat-Galim, Haifa 31096, Israel.
          Article
          nn1253
          10.1038/nn1253
          15156147
          472a38be-a775-4038-872f-3a02fafbae44
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