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Locally dynamic synaptic learning rules in pyramidal neuron dendrites

Author

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  • Christopher D. Harvey

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

  • Karel Svoboda

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

Abstract

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 ∼10 min and spread over ∼10 µm 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.

Suggested Citation

  • Christopher D. Harvey & Karel Svoboda, 2007. "Locally dynamic synaptic learning rules in pyramidal neuron dendrites," Nature, Nature, vol. 450(7173), pages 1195-1200, December.
    • Handle: RePEc:nat:nature:v:450:y:2007:i:7173:d:10.1038_nature06416
    DOI: 10.1038/nature06416
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    Cited by:

    1. Thomas E. Chater & Maximilian F. Eggl & Yukiko Goda & Tatjana Tchumatchenko, 2024. "Competitive processes shape multi-synapse plasticity along dendritic segments," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    2. Hang Zhou & Guo-Qiang Bi & Guosong Liu, 2024. "Intracellular magnesium optimizes transmission efficiency and plasticity of hippocampal synapses by reconfiguring their connectivity," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    3. Balázs Ujfalussy & Tamás Kiss & Péter Érdi, 2009. "Parallel Computational Subunits in Dentate Granule Cells Generate Multiple Place Fields," PLOS Computational Biology, Public Library of Science, vol. 5(9), pages 1-16, September.
    4. Zhiwei Xu & Erez Geron & Luis M. Pérez-Cuesta & Yang Bai & Wen-Biao Gan, 2023. "Generalized extinction of fear memory depends on co-allocation of synaptic plasticity in dendrites," Nature Communications, Nature, vol. 14(1), pages 1-17, December.

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