Computational Neuroscience: Bridging Biology and AI

4 weeks

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Computational Neuroscience

Objective

“Model how neurons process information. This is the bridge between biological brains and Artificial Neural Networks. ”

Topics

1.1

Introduction to Computational Neuroscience

40 minutes

1.2

Neuronal Biophysics

10 minutes

1.3

Basic Neuron Models

Study Resources

→Khan Academy: Action Potentials →Scholarpedia: Hodgkin-Huxley Model →Neuroscience Online: Ion Channels and the Action Potential

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References

01Khan Academy: Action Potentials

02Scholarpedia: Hodgkin-Huxley Model

03Neuroscience Online: Ion Channels and the Action Potential

04Brian2 Documentation: Getting Started

05MIT OpenCourseware: Computational Neuroscience (9.29) - Lecture Notes on Synaptic Plasticity

06Wikipedia: Hebbian Theory

07Neuromatch Academy: Computational Neuroscience - W1D1 Tutorial 1

08MIT OpenCourseware: Computational Cognitive Science (9.660) - Lecture Notes on Neural Coding

09Wikipedia: Population coding

10Deep Learning Book (Goodfellow et al.) - Chapter 1: Introduction

113Blue1Brown: Neural Networks series - What is a neural network?

12Stanford CS231n: Convolutional Neural Networks for Visual Recognition - Lecture 1

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