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]