Basic SNN propogating spikes between LIF neurons
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Updated
Aug 28, 2018 - Jupyter Notebook
Basic SNN propogating spikes between LIF neurons
FPGA based Leaky Integrate and Fire (LIF) neuron model accelerator for PyTorch
Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...
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Neuromorphic event-driven simulator in C and MPI (successor of NeMo https://github.com/markplagge/NeMo)
Implementation of some of the basic neural models and simulation of interactions between neurons in a population and learning process from scratch in Python.
Simulation of cat V1 simple cell and receptive field.
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Implementation of leaky integrate-and-fire model.
Project done as part of the course Intro to Neural and Cognitive Modelling at IIIT-H
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This repository contains classes to simulate single and networks of Leaky-Integrate-and-Fire (LIF) neurons.
A repository implementing a biologically inspired spiking neural network for psychological profiling. This project uses my own "Extended LIF Neurons" by incorporating feedback and cross‐connections among key brain regions (e.g., prefrontal cortex, amygdala, hippocampus, thalamus, and striatum) and integrates text‐based emotion analysis.
Computational model of leaky integrate and fire (LIF) neurons in 1D and 2D.
Python Leaky Integrate and Fire Tester -- A bad LIF implementation for learning purposes
SAiDL Summer of Code Project
Recurrent network of leaky integrate-and-fire neurons
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