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A computational model of systems memory consolidation and reconsolidation (Helfer & Shultz 2019)
 
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Model Information
Model File
Accession:
258949
A neural-network framework for modeling systems memory consolidation and reconsolidation.
Reference:
1 .
Helfer P, Shultz TR (2019) A computational model of systems memory consolidation and reconsolidation.
Hippocampus
[
PubMed
]
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Model Information
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Model Type:
Connectionist Network;
Synapse;
Brain Region(s)/Organism:
Hippocampus;
Neocortex;
Cell Type(s):
Abstract integrate-and-fire neuron;
Channel(s):
Gap Junctions:
Receptor(s):
AMPA;
Gene(s):
Transmitter(s):
Glutamate;
Simulation Environment:
C or C++ program;
Model Concept(s):
Memory;
Synaptic Plasticity;
Implementer(s):
Helfer, Peter [peter.helfer at mail.mcgill.ca];
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AMPA
;
Glutamate
;
/
HelferShultz2019
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