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I recently started the CS50 online course offered by Harvard University. This is by far one of the most engaging yet challenging introductory courses to computer science and the art of programming. As an Applied Math Major who loves coding algorithms yet has no formal computer science background, I felt that this course would be perfect for me in solidifying my foundation in computer science. You can check the CS50 (2018 version) here.
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This is my first blog post entry to the series which I’d call ‘The Stochastic Brain Review’. In this series, I will review research articles which pique my interest, get into their core, and explore some of their promising implications.
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This Jupyter notebook will simulate a leaky integrate-and-fire neuron model with static input current using Numpy. We will also verify the formula for theoretical firing rate we derived in the last blog post.
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For my first blog post, I will find the analytical solution of a leaky integrate-and-fire (LIF) model of a neuron under a constant injected current. Too much to handle? Read more to find out! (This is Part 1 of a series of four posts on LIF model)