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

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.

Model Type: Realistic Network

Region(s) or Organism(s): Hippocampus

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

Simulation Environment: MATLAB

Implementer(s): Raudies, Florian [florian.raudies at gmail.com]


Raudies F, Hasselmo ME. (2014). A model of hippocampal spiking responses to items during learning of a context-dependent task. Frontiers in systems neuroscience. 8 [PubMed]

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