THULemon / Neuromorphic-Computing
This is a collection of works and information on neuromorphic/ neuro-inspired computing.
☆15Updated 5 years ago
Alternatives and similar repositories for Neuromorphic-Computing:
Users that are interested in Neuromorphic-Computing are comparing it to the libraries listed below
- ☆9Updated 5 years ago
- IEEE Transactions on Circuits and Systems I: Efficient FPGA Implementations of Pair and Triplet-based STDP for Neuromorphic Architectures☆26Updated 5 years ago
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆28Updated last year
- 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
- ☆38Updated 3 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆31Updated 4 years ago
- Simulations using Brian for memristor-based neural networks using STDP learning☆26Updated 8 years ago
- timing simulator of IBM TrueNorth Neuromorphic Chip☆9Updated 4 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆25Updated 2 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆82Updated 3 years ago
- Software framework for Designing and Mapping a CNN onto neuromorphic chip with crossbar array of synapses.☆11Updated 5 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆35Updated 7 months ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆30Updated 11 months ago
- Quantization-aware training with spiking neural networks☆40Updated 3 years ago
- Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”☆12Updated last year
- FPGA Design of a Spiking Neural Network.☆38Updated 10 months ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 3 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆28Updated 3 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
- ☆42Updated 5 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Updated last year
- In-sensor reservoir computing for language learning via two-dimensional memristors☆17Updated 2 years ago
- ☆32Updated last year
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆35Updated 4 years ago
- Framework for radix encoded SNN on FPGA☆13Updated 3 years ago
- CS4362 - Hardware Description Languages. Implemented SNN on an FPGA for real-time image processing using VHDL☆16Updated last year
- 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
- Notebooks for Hardware-Aware Training of Spiking Neural Networks. Open-Source Neuromorphic Circuit Design Tutorial at ESSCIRC 2023.☆23Updated last year
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆48Updated 3 years ago