Bidirectional synaptic plasticity rapidly modifies hippocampal representations

eLife

Ivan Soltesz¹  Aaron D Milstein²  Yiding Li³  Jeffrey C Magee³  Christine Grienberger³  Sandro Romani⁴  Katie C Bittner⁴ 

[1] Department of Neurosurgery and Stanford Neurosciences Institute, Stanford University School of Medicine, Stanford, United States;Department of Neurosurgery and Stanford Neurosciences Institute, Stanford University School of Medicine, Stanford, United States;Department of Neuroscience and Cell Biology, Robert Wood Johnson Medical School and Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, United States;Howard Hughes Medical Institute, Baylor College of Medicine, Houston, United States;Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, United States;

关键词: plasticity;    learning;    place cell;    dendrites;    hippocampus;    computational model;    Mouse;   

DOI  :  10.7554/eLife.73046

来源: eLife Sciences Publications, Ltd

【 摘 要 】

Learning requires neural adaptations thought to be mediated by activity-dependent synaptic plasticity. A relatively non-standard form of synaptic plasticity driven by dendritic calcium spikes, or plateau potentials, has been reported to underlie place field formation in rodent hippocampal CA1 neurons. Here, we found that this behavioral timescale synaptic plasticity (BTSP) can also reshape existing place fields via bidirectional synaptic weight changes that depend on the temporal proximity of plateau potentials to pre-existing place fields. When evoked near an existing place field, plateau potentials induced less synaptic potentiation and more depression, suggesting BTSP might depend inversely on postsynaptic activation. However, manipulations of place cell membrane potential and computational modeling indicated that this anti-correlation actually results from a dependence on current synaptic weight such that weak inputs potentiate and strong inputs depress. A network model implementing this bidirectional synaptic learning rule suggested that BTSP enables population activity, rather than pairwise neuronal correlations, to drive neural adaptations to experience.

【 授权许可】

CC BY