ruiqigao / GridCellLinks
TensorFlow code for paper: Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion
☆18Updated 6 years ago
Alternatives and similar repositories for GridCell
Users that are interested in GridCell are comparing it to the libraries listed below
Sorting:
- Implementation of Vector Based Navigation using Grid-like cells using Tensorflow and Numpy☆36Updated 2 years ago
- Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as…☆254Updated 4 years ago
- Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion☆16Updated 6 years ago
- Official code for On Path Integration of Grid Cells: Group Representation and Isotropic Scaling (NeurIPS 2021)☆51Updated 3 years ago
- PYTORCH Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial ag…☆18Updated 5 years ago
- ☆41Updated 2 years ago
- ☆193Updated 2 years ago
- repository for grid cell network code☆63Updated 2 years ago
- Implementation of the Tolman Eichenbaum Machine in pytorch☆157Updated 3 years ago
- A fully working implementation of RATSLAM in Python, using OpenCV.☆45Updated 11 years ago
- Code and data for People construct simplified mental representations to plan☆23Updated last year
- Predictive coding in Python☆66Updated last year
- Free Energy Principle and Active Inference tutorials for newbies☆49Updated 4 years ago
- ☆34Updated 8 years ago
- ☆32Updated last year
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆185Updated last year
- Active inference implementation of dynamic multi-armed bandits☆19Updated 3 weeks ago
- A repository for major/influential FEP and active inference papers.☆198Updated 4 years ago
- An exploration of the free energy principle using deep reinforcement learning☆48Updated 7 years 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
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆17Updated 2 years ago
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆41Updated 3 years ago
- Repo for AAAI20 paper "Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning"☆9Updated 4 years ago
- Deep active inference agents using Monte-Carlo methods☆89Updated last month
- OpenLock Environment for OpenAI Gym☆19Updated 4 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆39Updated 2 years ago
- A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)☆18Updated 4 years ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆139Updated 3 years ago
- Models of Sequential Decision-Making☆49Updated 6 months ago
- Basic Implementation of a Continuous-attractor Neural Network☆27Updated 3 years ago