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Model of working memory based on negative derivative feedback (Lim and Goldman, 2013)
 
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Model Information
Model File
Citations
Accession:
181010
We proposed a model of working memory in which recurrent synaptic interactions provide a corrective feedback that enables persistent activity to be maintained stably for prolonged durations. When recurrent excitatory and inhibitory inputs to memory neurons were balanced in strength and offset in time, drifts in activity triggered a corrective signal that counteracted memory decay. Circuits containing this mechanism temporally integrated their inputs, generated the irregular neural firing observed during persistent activity and were robust against common perturbations that severely disrupted previous models of short-term memory storage.
Reference:
1 .
Lim S, Goldman MS (2013) Balanced cortical microcircuitry for maintaining information in working memory.
Nat Neurosci
16
:1306-14
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
Synapse;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
MATLAB;
Model Concept(s):
Working memory;
Implementer(s):
Lim, Sukbin ;
Download the displayed file
/
LimGoldman2013
readme.html
FiringRateModel_PM.m
screenshot1.png
screenshot2.png
SpikingNetworkModel_PM.m
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