In this code, we model the interaction between the medial septum and hippocampus as a FORCE trained, dual oscillator model. One oscillator corresponds to the medial septum and serves as an input, while a FORCE trained network of LIF neurons acts as a model of the CA3. We refer to this entire model as the Septal Hippocampal Oscillator Theta (or SHOT) network. The code contained in this upload allows a user to train a SHOT network, train a population of reversion interneurons, and simulate the SHOT-CA3 and RO-CA1 networks after training. The code scripts are labeled to correspond to the figure from the manuscript.
Model Type: Connectionist Network
Region(s) or Organism(s): Hippocampus
Cell Type(s): Abstract integrate-and-fire leaky neuron
Model Concept(s): Memory
Simulation Environment: MATLAB
Implementer(s): Nicola, Wilten [wnicola at uwaterloo.ca]
References:
Nicola W, Clopath C. (2019). A diversity of interneurons and Hebbian plasticity facilitate rapid compressible learning in the hippocampus. Nature neuroscience. 22 [PubMed]