Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
☆16Jun 2, 2022Updated 4 years ago
Alternatives and similar repositories for H-Mem
Users that are interested in H-Mem are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Exercises and examples for the latent dynamics workshop☆20Jul 18, 2025Updated 10 months ago
- ☆11Mar 30, 2016Updated 10 years ago
- Implementation of eventprop learning in GeNN☆16Jan 10, 2025Updated last year
- Predictive Coding (Rao & Ballard, 1999) Model☆10May 2, 2020Updated 6 years ago
- Analysis code for the OpenScope Credit Assignment project.☆13Jul 9, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…☆10Aug 2, 2017Updated 8 years ago
- The code generates preferential attachment networks with homophily and two groups.☆13Apr 4, 2018Updated 8 years ago
- developing tools for LIAF-SNNs and LIF-SNNs☆10Sep 14, 2022Updated 3 years ago
- Regularization, Neural Network Training Dynamics☆14Jan 13, 2020Updated 6 years ago
- Repository for Deterministic Particle Flow Control framework☆10Nov 13, 2022Updated 3 years ago
- Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT☆32Apr 8, 2025Updated last year
- Simulate a small network of simple, diverse spiking neurons and analyze results☆12Dec 19, 2021Updated 4 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Jun 30, 2021Updated 4 years ago
- Official implementation of our paper "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"☆26Oct 2, 2025Updated 8 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Software framework for Designing and Mapping a CNN onto neuromorphic chip with crossbar array of synapses.☆11Jan 24, 2020Updated 6 years ago
- Code for the Density Deconvolution with Normalizing Flows paper.☆12Jun 10, 2020Updated 6 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆32Feb 6, 2023Updated 3 years ago
- Materials for the course on neuromorphic computing at RAAI Summer School 2021☆14Jul 5, 2022Updated 3 years ago
- A working AlphaZero implementation that's simple enough to be able to understand what's going on at a quick glance, without sacrificing t…☆14Mar 23, 2023Updated 3 years ago
- Master Thesis Project of Justus Hübotter☆12Nov 23, 2021Updated 4 years ago
- Self-attentive Associative Memory & SAM-based Two-Memory Model☆61May 4, 2022Updated 4 years ago
- Framework to train and simulate a spiking neural network (SNN) using Brian2, that implements a learning rule that combines STDP with a gl…☆14May 1, 2018Updated 8 years ago
- Neuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and sig…☆14Aug 16, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- An event based dataset loader under one common python API.☆10Mar 22, 2022Updated 4 years ago
- Tensorflow implementation of Bayes-by-Backprop algorithm from "Weight uncertainty in neural networks" paper☆14Mar 6, 2019Updated 7 years ago
- Preprocessing and baseline for N-Omniglot. Details can be found at https://www.nature.com/articles/s41597-022-01851-z..☆19Apr 12, 2023Updated 3 years ago
- A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"☆11May 15, 2017Updated 9 years ago
- Python implementation of a tempotron classifier for the MNIST dataset.☆14Feb 3, 2019Updated 7 years ago
- Supervised learning in spiking neural networks for precise temporal encoding☆18May 9, 2019Updated 7 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Feb 19, 2018Updated 8 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Jan 3, 2022Updated 4 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆14Dec 24, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification☆12Nov 22, 2017Updated 8 years ago
- An Introduction to Modeling Neuronal Dynamics - Borgers in python, Single Neuron Models, Mathematical Modeling, Computational Neuroscienc…☆49Jan 23, 2025Updated last year
- Modelling electromagnetic showers in the central region of the Silicon-Tungsten calorimeter of the proposed ILD☆13Aug 3, 2022Updated 3 years ago
- video prediction and world model research☆14Jun 10, 2022Updated 4 years ago
- A hybrid forecasting model that combines the Hilbert-Huang Transform and Multivariate Adaptive Regression Splines☆16Feb 7, 2019Updated 7 years ago
- PyTorch implementation of the End-to-End Memory Network with attention layer vizualisation support.☆12Jun 30, 2018Updated 7 years ago
- Camera model identification has earned paramount importance in the field of image forensics with an upsurge of digitally altered images w…☆14Jun 15, 2019Updated 6 years ago