A computational model of systems memory consolidation and reconsolidation (Helfer & Shultz 2019)


A neural-network framework for modeling systems memory consolidation and reconsolidation.

Model Type: Connectionist Network; Synapse

Region(s) or Organism(s): Hippocampus; Neocortex

Cell Type(s): Abstract integrate-and-fire neuron

Receptors: AMPA

Transmitters: Glutamate

Model Concept(s): Memory; Synaptic Plasticity

Simulation Environment: C or C++ program

Implementer(s): Helfer, Peter [peter.helfer at mail.mcgill.ca]

References:

Helfer P, Shultz TR. (2020). A computational model of systems memory consolidation and reconsolidation. Hippocampus. 30 [PubMed]


This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.