thomastiotto / Memristor-ModelsLinks
Python implementations and simulations of HP Labs Ion Drift and Yakopcic memristor models.
☆31Updated 2 years ago
Alternatives and similar repositories for Memristor-Models
Users that are interested in Memristor-Models are comparing it to the libraries listed below
Sorting:
- memristor 1T1R array based CNN and ConvLSTM☆70Updated 5 years ago
- Simulations using Brian for memristor-based neural networks using STDP learning☆26Updated 9 years ago
- ☆9Updated 5 years ago
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆28Updated last year
- ☆40Updated 2 years ago
- Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”☆12Updated 2 years ago
- Memristor Reinforcement Learning☆28Updated 6 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆26Updated 2 years ago
- In-sensor reservoir computing for language learning via two-dimensional memristors☆19Updated 2 years ago
- ☆21Updated 6 years ago
- This project aims to be a collaborative effort to collect under one roof all the memristor models published to date.☆122Updated 6 years ago
- Memristor-Network-Reservoir: MATLAB codes for simulating memristor networks and performing reservoir computation.☆27Updated 3 years ago
- Modeling of memristors in LTSpise environment☆31Updated 8 months ago
- This Pytorch-based framework demonstrates a sentiment analysis task in the IMDB movie reviews dataset using an SNN with a statistic memri…☆21Updated 2 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆20Updated 3 years ago
- Memristor modeling artifacts (including a model for use with LTspice)☆16Updated 2 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆37Updated 4 years ago
- In this repository I have simulated Memristors using Python3 and also created GUI for easy use by researchers to visualise the functionin…☆19Updated 6 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆30Updated 3 years ago
- Leaky Integrate and Fire (LIF) model implementation for FPGA☆69Updated 2 weeks ago
- training SNN with Resume algorithm☆12Updated 5 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆41Updated 9 months ago
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆24Updated 2 weeks ago
- 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
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆23Updated 5 years ago
- Software framework for Designing and Mapping a CNN onto neuromorphic chip with crossbar array of synapses.☆11Updated 5 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 years ago
- Structured clustering for memristive crossbar based neuromorphic architectures☆14Updated 5 years ago
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆50Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago