Tsinghua-LEMON-Lab / Reservoir-computing
☆35Updated 2 years ago
Alternatives and similar repositories for Reservoir-computing:
Users that are interested in Reservoir-computing 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
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆24Updated 2 years ago
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆27Updated last year
- memristor 1T1R array based CNN and ConvLSTM☆68Updated 5 years ago
- Memristor-Network-Reservoir: MATLAB codes for simulating memristor networks and performing reservoir computation.☆22Updated 2 years ago
- Modeling of memristors in LTSpise environment☆25Updated 4 months ago
- ☆9Updated 5 years ago
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆23Updated 5 years ago
- training SNN with Resume algorithm☆11Updated 5 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
- ReRAM implementation on CNN☆18Updated 6 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
- Memristor Reinforcement Learning☆28Updated 5 years ago
- Python implementations and simulations of HP Labs Ion Drift and Yakopcic memristor models.☆31Updated last year
- Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”☆12Updated last year
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆81Updated 3 years ago
- Structured clustering for memristive crossbar based neuromorphic architectures☆14Updated 5 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
- Leaky Integrate and Fire (LIF) model implementation for FPGA☆54Updated last year
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆27Updated 4 months ago
- I will share some useful or interesting papers about neuromorphic processor☆20Updated 2 weeks ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆34Updated 3 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- A Simulation Framework for Memristive Deep Learning Systems☆146Updated 9 months ago
- Hardware implementation of Spiking Neural Network on a PYNQ-Z1 board☆34Updated 5 years ago
- ODIN online-learning digital spiking neural network (SNN) processor - HDL source code and documentation.☆175Updated 5 years ago
- A Spiking neural network simulator NEST base on FPGA‘s cluster（LIF NEURON）☆18Updated 5 years ago
- A nest brain simulator based on FPGA(LIF NEURON)☆13Updated 3 years ago
- tinyODIN digital spiking neural network (SNN) processor - HDL source code and documentation.☆53Updated last year