conorheins / bayesian-mechanics-sdes

Related projects ⓘ

Alternatives and complementary repositories for bayesian-mechanics-sdes

• vicariousinc / naturecomm_cscg
  ☆34Updated 2 years ago
• infer-actively / pypc
  Predictive coding in Python
  ☆63Updated 7 months ago
• mbaltieri / GeneralisedFiltering
  General framework for Bayesian inversion of continuous hierarchical models
  ☆10Updated 3 years ago
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆51Updated last year
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆11Updated last year
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆57Updated 3 years ago
• jazlab / moog.github.io
  Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.
  ☆33Updated last year
• dimarkov / aibandits
  Active inference implementation of dynamic multi-armed bandits
  ☆18Updated 10 months ago
• tejparr / nmpassing
  neuronal message passing
  ☆16Updated 6 years ago
• tachukao / mgplvm-pytorch
  ☆24Updated last year
• dmcnamee / FlexModEHC
  Flexible modulation of sequence generation in the entorhinal-hippocampal system.
  ☆12Updated 2 years ago
• tripdancer0916 / pytorch-fixed-point-analysis
  Implementation of fixed point analysis for Recurrent Neural Network.
  ☆19Updated 4 years ago
• KietzmannLab / EmergentPredictiveCoding
  ☆38Updated 9 months ago
• ilabcode / pyhgf
  PyHGF: A neural network library for predictive coding
  ☆56Updated last week
• davidzoltowski / ssmdm
  Recurrent state-space models for decision making
  ☆28Updated 2 years ago
• ProjectSEM / SEM
  ☆14Updated 4 years ago
• qihongl / learn-hippo
  Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife
  ☆40Updated 2 years ago
• alec-tschantz / predcoding
  A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)
  ☆14Updated 4 years ago
• markkho / value-guided-construal
  Code and data for People construct simplified mental representations to plan
  ☆21Updated last year
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 4 years ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 2 years ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆87Updated 3 months ago
• LDlabs / seqMultiTaskRNN
  sequential learning in orthogonal subspaces
  ☆12Updated 3 years ago
• davindicode / cosyne-2023-generative-models
  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
  ☆39Updated last year
• nmasse / Short-term-plasticity-RNN
  Short-term plasticity RNN models in Tensorflow
  ☆33Updated 4 years ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 4 years ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆57Updated 4 months ago
• sompolinsky-lab / dnn-object-manifolds
  ☆46Updated 3 years ago
• dieterichlawson / snax
  ☆12Updated last year
• schwartenbeckph / CPC_ActiveInference2018
  Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018
  ☆31Updated 4 years ago