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Locally dynamic synaptic learning rules in pyramidal neuron dendrites
被引:440
作者:
Harvey, Christopher D.
Svoboda, Karel
机构:
[1] HHMI, Ashburn, VA 20147 USA
[2] Cold Spring Harbor Lab, Watson Sch Biol Sci, Cold Spring Harbor, NY 11724 USA
来源:
关键词:
D O I:
10.1038/nature06416
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
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 similar to 10 min and spread over similar to 10 mm 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.
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页码:1195 / U3
页数:8
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