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

 Download zip file 
Help downloading and running models
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]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
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];
Search NeuronDB for information about:  AMPA; Glutamate; 
#ifndef NS_GLOBALS_HH
#define NS_GLOBALS_HH

#include "Props.hh"

/**
 * Property values, as specified on the command line and/or
 * read from a property file.
 */
extern Props props;

/**
 * The simulation time counter
 */
extern uint  simTime; // hours

/**
 * The size of the simulation time step
 */
extern uint  timeStep; // hours
#endif