tripdancer0916 / pytorch-fixed-point-analysis
Implementation of fixed point analysis for Recurrent Neural Network.
☆20Updated 5 years ago
Alternatives and similar repositories for pytorch-fixed-point-analysis:
Users that are interested in pytorch-fixed-point-analysis are comparing it to the libraries listed below
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆94Updated 7 months ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- A package to train neural networks to perform various motor tasks☆63Updated last month
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- ☆23Updated last year
- repository for grid cell network code☆61Updated 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆65Updated last year
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆49Updated 3 years ago
- ☆13Updated 2 years ago
- sequential learning in orthogonal subspaces☆13Updated 4 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 9 years ago
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 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
- 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
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- ☆40Updated 2 years ago
- jPCA for Neural Data Analysis in Python☆47Updated last year
- ☆48Updated 2 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆25Updated this week
- The COntextual INference (COIN) model☆21Updated 7 months ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆78Updated 7 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- ☆13Updated 2 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆17Updated 2 months ago
- Tools for spike data analysis and visualization☆104Updated 2 years ago
- Python tools for participating in Neural Latents Benchmark '21☆59Updated 8 months ago