Bump Attractor Network Neuronal Firing Simulation

As part of my Theoretical Neuroscience coursework at the Zuckermann Institute, I computationally modeled a bump attractor ring network by approximating a differential equation and plotting firing rates for various initial values using Numpy. The simulation showed that firing rates over time inevitably decay to a “bump” solution as indicated on the polar graphs.

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Some of my Columbia coursework