Mathematical model of behavioral time scale plasticity (BTSP) of place fields (Shouval & Cone 2021)

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Accession:266868
Inspired by experiments showing the generation of place fields in hippocampal CA1 neurons, this model describes CA3 to CA1 synaptic plasticity occurring on behavioral time-scales (order of seconds). Presynaptic activity induces LTP and LTD eligibility traces which are converted into synaptic changes upon the occurrence of an instructive signal, corresponding to the plateau potential in experiments.
Reference:
1 . Cone I, Shouval HZ (2021) Behavioral time scale plasticity of place fields: Mathematical analysis Front. Comput. Neurosci :15
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB;
Model Concept(s): Synaptic Plasticity; Place cell/field; Eligibility traces;
Implementer(s):
This code is for the model described in Behavioral time scale plasticity of place fields: Mathematical analysis.

"main_BTSP_model.m" includes the main code for the simulations - upon running it, the presynaptic inputs, fixed point synaptic weights, and convergence to fixed point ramp amplitude will be plotted. Variables are included to change from circular to linear boundary conditions, to change the location/magnitude of the plateau potential, etc. Comments are included in the file for further instruction.

"numerical_velocity.m" includes the numerical solutions for a range of velocities, either in the circular or linear case.

"analytical_fixed_point.m" replicates Figure 9 of the main text by plotting the analytical solution outlined in the Appendix. Comments are included in the file for further instruction.

This code was written and run in MATLAB 2020a. Please direct any questions to iancone(at)rice(dot)edu.

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