shaanverma / Computational-Neuroscience-and-Deep-Learning-Projects

A collection of mini computational neuroscience code/research projects

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Computational-Neuroscience-Mini-Projects

A collection of mini computational neuroscience code/research projects

Description of Projects

Project 1: Modelling the logistic map function with chaotic inputs

Project 2: Modelling the Leaky Integrate-and-Fire (LIF) Neuron

Project 3: Spiking neuron models in Brian

Project 4: Spike-time dependent synaptic plasticity (STDP) [Hebbian learning]

Project 5: Fundamental models of the primate visual system [Gabor Filters]

Project 6: Artificial neural networks [Perceptron]

Project 7: Deep learning [Logistic regression using backpropogation, gradient descent]

Project 8: Convolutional neural networks

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A collection of mini computational neuroscience code/research projects


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