LPompe / gridtorchLinks
PYTORCH Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6
☆18Updated 5 years ago
Alternatives and similar repositories for gridtorch
Users that are interested in gridtorch are comparing it to the libraries listed below
Sorting:
- Implementation of Vector Based Navigation using Grid-like cells using Tensorflow and Numpy☆35Updated 2 years ago
- Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as…☆255Updated 4 years ago
- Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion☆17Updated 6 years ago
- Implementation of the Tolman Eichenbaum Machine in pytorch☆158Updated 3 years ago
- ☆194Updated 2 years ago
- repository for grid cell network code☆65Updated 2 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 4 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆43Updated 3 years ago
- ☆41Updated 3 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆24Updated 4 years ago
- Vector-based navigation using grid-like representations in artificial agents☆20Updated 6 years ago
- A repository collating interesting and/or influential predictive coding papers☆89Updated 4 years ago
- A curated collection of neuroscience tasks with a common interface.☆295Updated last week
- A library for neuroscience-inspired navigation and decision making research.☆207Updated 7 months ago
- TensorFlow code for paper: Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion☆18Updated 6 years ago
- Official code for On Path Integration of Grid Cells: Group Representation and Isotropic Scaling (NeurIPS 2021)☆52Updated 3 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 8 months ago
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…☆58Updated 6 years ago
- ☆34Updated 5 months ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆139Updated 4 years ago
- Minimizing Control for Credit Assignment with Strong Feedback☆14Updated 10 months ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆169Updated 6 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆89Updated last year
- Predictive Coding in the Visual Cortex: a Functional Interpretation of Some Extra-classical Receptive-field Effects☆24Updated 6 years ago
- Code for "Deep predictive coding network for object recognition"☆25Updated 5 years ago
- Tutorial codes for modeling brains with neural nets☆234Updated 4 years ago
- ☆19Updated last year
- Code for Jensen et al. 2023☆15Updated last year