ModelDB: Hippocampal spiking model for context dependent behavior (Raudies & Hasselmo 2014)

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Hippocampal spiking model for context dependent behavior (Raudies & Hasselmo 2014)

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Accession:194882

Our model simulates the effect of context dependent behavior using discrete inputs to drive spiking activity representing place and item followed sequentially by a discrete representation of the motor actions involving a response to an item (digging for food) or the movement to a different item (movement to a different pot for food). This simple network was able to consistently learn the context-dependent responses.
Reference:
1 . Raudies F, Hasselmo ME (2014) A model of hippocampal spiking responses to items during learning of a context-dependent task. Front Syst Neurosci 8:178 [PubMed]

Model Information (Click on a link to find other models with that property)

Model Type:	Realistic Network;
Brain Region(s)/Organism:	Hippocampus;
Cell Type(s):	Abstract integrate-and-fire leaky neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:	MATLAB;
Model Concept(s):
Implementer(s):	Raudies, Florian [florian.raudies at gmail.com];