IGITUGraz / Cognitive-Map-LearnerLinks
This repo contains an example jupyter-notebook for the CML algorithm on all different kinds of the abstract random graph tasks.
☆17Updated last year
Alternatives and similar repositories for Cognitive-Map-Learner
Users that are interested in Cognitive-Map-Learner are comparing it to the libraries listed below
Sorting:
- NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python☆173Updated 2 weeks ago
- ☆92Updated 2 years ago
- ☆31Updated 2 years ago
- Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…☆64Updated 2 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆30Updated last year
- Repository for example implementation of spatially-embedded RNNs. See https://www.jachterberg.com/seRNN for more information.☆47Updated 6 months ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆76Updated 2 weeks ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆145Updated 4 years ago
- A new model for quickly training and simulating adaptive leaky integrate-and-fire spiking neural networks.☆14Updated last year
- Spiking neuron integration for PyTorch☆41Updated 10 months ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆33Updated last year
- Spaun (nengo 2.0 version)☆80Updated last year
- Implementation of the Semantic Pointer Architecture for Nengo☆22Updated 10 months ago
- A library for deep learning with Spiking Neural Networks (SNN).☆38Updated this week
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆168Updated 5 years ago
- Spyx: Spiking Neural Networks in JAX☆131Updated last month
- ☆41Updated 3 years ago
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆42Updated 3 weeks ago
- Implementation of the Tolman Eichenbaum Machine in pytorch☆172Updated 3 years ago
- Implementation and evaluation of the AXIOM architecture from the preprint "AXIOM: Learning to Play Games in Minutes with Expanding Object…☆63Updated 8 months ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆95Updated last year
- Deep learning integration for Nengo☆92Updated 10 months ago
- Spiking neural networks in JAX with equinox.☆27Updated last year
- Tutorial for surrogate gradient learning in spiking neural networks☆352Updated last year
- A repository collating interesting and/or influential predictive coding papers☆90Updated 4 years ago
- ☆26Updated last week
- Neurons learn by predicting future activity☆30Updated 4 years ago
- ☆204Updated 3 years ago
- A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.☆68Updated 3 years ago
- ☆14Updated 4 years ago