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Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015)
 
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Model Information
Model File
Citations
Accession:
184487
Although it is well known that long-term synaptic plasticity can be expressed both pre- and postsynaptically, the functional consequences of this arrangement have remained elusive. We show that spike-timing-dependent plasticity with both pre- and postsynaptic expression develops receptive fields with reduced variability and improved discriminability compared to postsynaptic plasticity alone. These long-term modifications in receptive field statistics match recent sensory perception experiments. In these simulations we demonstrate that learning with this form of plasticity leaves a hidden postsynaptic memory trace that enables fast relearning of previously stored information, providing a cellular substrate for memory savings. Our results reveal essential roles for presynaptic plasticity that are missed when only postsynaptic expression of long-term plasticity is considered, and suggest an experience-dependent distribution of pre- and postsynaptic strength changes.
Reference:
1 .
Costa RP, Froemke RC, Sjöström PJ, van Rossum MC (2015) Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning.
Elife
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Synapse;
Brain Region(s)/Organism:
Neocortex;
Cell Type(s):
Neocortex L5/6 pyramidal GLU cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
NO;
Glutamate;
Endocannabinoid;
Simulation Environment:
MATLAB;
Brian;
Python;
Model Concept(s):
STDP;
Implementer(s):
Costa, Rui Ponte [ruipontecosta at gmail.com];
Search NeuronDB
for information about:
Neocortex L5/6 pyramidal GLU cell
;
NO
;
Glutamate
;
Endocannabinoid
;
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prepostSTDP_savings
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