roshan-gopalakrishnan / NeuromorphicComputing
Software framework for Designing and Mapping a CNN onto neuromorphic chip with crossbar array of synapses.
☆11Updated 5 years ago
Alternatives and similar repositories for NeuromorphicComputing:
Users that are interested in NeuromorphicComputing are comparing it to the libraries listed below
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆35Updated 4 years ago
- Simulations using Brian for memristor-based neural networks using STDP learning☆26Updated 8 years ago
- ☆9Updated 5 years ago
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆23Updated 5 years ago
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆27Updated last year
- Collection of Spiking Neural Network applications for SNN Toolbox.☆31Updated 4 years ago
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆10Updated 3 years ago
- training SNN with Resume algorithm☆11Updated 5 years ago
- In-sensor reservoir computing for language learning via two-dimensional memristors☆16Updated 2 years ago
- This Pytorch-based framework demonstrates a sentiment analysis task in the IMDB movie reviews dataset using an SNN with a statistic memri…☆20Updated 2 years ago
- A series of simulations organized as homework assignments that were part of the course on Neuromorphic Engineering at IIT Bombay (course …☆10Updated 8 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆24Updated 2 years ago
- ☆35Updated 2 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- IEEE Transactions on Circuits and Systems I: Efficient FPGA Implementations of Pair and Triplet-based STDP for Neuromorphic Architectures☆25Updated 5 years ago
- The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL☆32Updated 5 years ago
- Convolutional spiking neural network implementing STDP☆15Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆46Updated 4 years ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆28Updated 3 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆27Updated 2 years ago
- Leaky Integrate and Fire (LIF) model implementation for FPGA☆54Updated last year
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆31Updated 5 months ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆12Updated 2 years ago
- ☆42Updated 5 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆17Updated 4 years ago
- Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”☆12Updated last year
- A toolbox for neuromorphic sensing in robotics.☆15Updated 3 years ago
- ☆13Updated 4 years ago
- A repository FPGA-friendly SNN models☆32Updated 3 years ago