Basic SNN propogating spikes between LIF neurons
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Updated
Aug 28, 2018 - Jupyter Notebook
Basic SNN propogating spikes between LIF neurons
A collection of artificial neuron models. Written in Julia using Jupyter Notebooks
Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...
Project done as part of the course Intro to Neural and Cognitive Modelling at IIIT-H
This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it has original content in terms of code.
Implementation of leaky integrate-and-fire model.
Recurrent network of leaky integrate-and-fire neurons
Simulation of cat V1 simple cell and receptive field.
Neuroscience simulator project
Implementation of some of the basic neural models and simulation of interactions between neurons in a population and learning process from scratch in Python.
Neuromorphic event-driven simulator in C and MPI (successor of NeMo https://github.com/markplagge/NeMo)
SAiDL Summer of Code Project
Leaky Integrate and Fire (LIF) model implementation for FPGA
Python Leaky Integrate and Fire Tester -- A bad LIF implementation for learning purposes
This repository contains classes to simulate single and networks of Leaky-Integrate-and-Fire (LIF) neurons.
Leaky Integrate and fire model Example
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