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Nature 450, 1195-1200 (20 December 2007) | doi:10.1038/nature06416; Received 12 August 2007; Accepted 29 October 2007

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Locally dynamic synaptic learning rules in pyramidal neuron dendrites

Christopher D. Harvey1,2 & Karel Svoboda1,2

  1. Janelia Farm Research Campus, HHMI, Ashburn, Virginia 20147, USA
  2. Watson School of Biological Sciences, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA

Correspondence to: Karel Svoboda1,2 Correspondence and requests for materials should be addressed to K.S. (Email: svobodak@janelia.hhmi.org).

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Long-term potentiation (LTP) of synaptic transmission underlies aspects of learning and memory. LTP is input-specific at the level of individual synapses, but neural network models predict interactions between plasticity at nearby synapses. Here we show in mouse hippocampal pyramidal cells that LTP at individual synapses reduces the threshold for potentiation at neighbouring synapses. After input-specific LTP induction by two-photon glutamate uncaging or by synaptic stimulation, subthreshold stimuli, which by themselves were too weak to trigger LTP, caused robust LTP and spine enlargement at neighbouring spines. Furthermore, LTP induction broadened the presynaptic–postsynaptic spike interval for spike-timing-dependent LTP within a dendritic neighbourhood. The reduction in the threshold for LTP induction lasted approx10 min and spread over approx10 microm of dendrite. These local interactions between neighbouring synapses support clustered plasticity models of memory storage and could allow for the binding of behaviourally linked information on the same dendritic branch.

  1. Janelia Farm Research Campus, HHMI, Ashburn, Virginia 20147, USA
  2. Watson School of Biological Sciences, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA

Correspondence to: Karel Svoboda1,2 Correspondence and requests for materials should be addressed to K.S. (Email: svobodak@janelia.hhmi.org).

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