roshan-gopalakrishnan / NeuromorphicComputing
Software framework for Designing and Mapping a CNN onto neuromorphic chip with crossbar array of synapses.
☆11Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for NeuromorphicComputing
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆47Updated 4 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆34Updated 4 years ago
- This Pytorch-based framework demonstrates a sentiment analysis task in the IMDB movie reviews dataset using an SNN with a statistic memri…☆19Updated last year
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆23Updated last year
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆29Updated 6 months ago
- ☆8Updated 4 years ago
- Convolutional spiking neural network implementing STDP☆14Updated 2 years ago
- training SNN with Resume algorithm☆11Updated 4 years ago
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆10Updated 2 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆30Updated 4 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆96Updated 3 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆27Updated 2 months ago
- Simulations using Brian for memristor-based neural networks using STDP learning☆24Updated 8 years ago
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆25Updated last year
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆21Updated 2 years ago
- Memristor-Network-Reservoir: MATLAB codes for simulating memristor networks and performing reservoir computation.☆19Updated 2 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆25Updated 2 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆15Updated 4 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆32Updated 3 years ago
- The repository offer the simulation scripts of three different single-layer SNN learning algorihtms proposed by Querlioz, Diehl and this …☆13Updated 4 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
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆26Updated 2 years ago
- ☆34Updated 2 years ago
- memristor 1T1R array based CNN and ConvLSTM☆64Updated 5 years ago
- ☆42Updated 5 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- ☆13Updated 4 years ago
- Python implementations and simulations of HP Labs Ion Drift and Yakopcic memristor models.☆27Updated last year