Bump Attractor Network Neuronal Firing Simulation

Nov 10

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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. This project challenged me immensely and required me to sharpen my mathematical and programming skills.

Ashley Kim

Bump Attractor Network Neuronal Firing Simulation

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