oizumi-lab / GWTune
☆19Updated 2 months ago
Alternatives and similar repositories for GWTune:
Users that are interested in GWTune are comparing it to the libraries listed below
- ☆13Updated 2 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018☆31Updated 4 years ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Updated 4 years ago
- Neural Optimal Feedback Control☆11Updated 3 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 3 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- latent manifold tuning model / P-GPLVM☆12Updated 5 years ago
- ☆20Updated last year
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆16Updated 4 years ago
- ☆23Updated last year
- ☆14Updated 5 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆29Updated 5 years ago
- ☆23Updated last month
- ☆18Updated 8 years ago
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆28Updated 6 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
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- PyTorch Lightning utilities that make it easier to train and evaluate deep models for the Neural Latents Benchmark.☆8Updated 2 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- sequential learning in orthogonal subspaces☆13Updated 4 years ago
- ☆12Updated 2 years ago
- Dynamic Causal Modelling for MNE and the nipy ecosystem☆20Updated 7 years ago
- Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).☆18Updated 9 months ago
- General framework for Bayesian inversion of continuous hierarchical models☆10Updated 3 years ago
- Predictive coding in Python☆65Updated last year
- The COntextual INference (COIN) model☆21Updated 8 months ago
- Active inference implementation of dynamic multi-armed bandits☆19Updated last year