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Locally balanced dendritic integration by short-term synaptic plasticity and active dendritic conductances. | LitMetric

AI Article Synopsis

  • The variability in firing patterns of pyramidal neurons is influenced by the balance between excitatory and inhibitory inputs, shaped by network dynamics.
  • Researchers simulated a hippocampal CA1 pyramidal cell and discovered a local balance mechanism on dendritic branches that relies on presynaptic depression of release rather than synaptic inhibition.
  • This new mechanism enhances the sensitivity of dendritic branches to synaptic inputs, increases output variability, and suggests a testable hypothesis about hippocampal place cell firing patterns.

Article Abstract

The high degree of variability observed in spike trains and membrane potentials of pyramidal neurons in vivo is thought to be a consequence of a balance between excitatory and inhibitory inputs, which depends on the dynamics of the network. We simulated synaptic currents and ion channels in a reconstructed hippocampal CA1 pyramidal cell and show here that a local balance can be achieved on a dendritic branch with a different mechanism, based on presynaptic depression of quantal release interacting with active dendritic conductances. This mechanism, which does not require synaptic inhibition, allows each dendritic branch to remain sensitive to correlated synaptic inputs, induces a high degree of variability in the output spike train, and can be combined with other balance mechanisms based on network dynamics. This hypothesis makes a testable prediction for the cause of the observed variability in the firing of hippocampal place cells.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2804429PMC
http://dx.doi.org/10.1152/jn.00260.2009DOI Listing

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