FedeClaudi / pyrnnLinks
pythorcn implementation of a vanilla RNN
☆11Updated 4 years ago
Alternatives and similar repositories for pyrnn
Users that are interested in pyrnn are comparing it to the libraries listed below
Sorting:
- Exercises and examples for the latent dynamics workshop☆19Updated 5 months ago
- ☆60Updated 3 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆55Updated 5 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆85Updated 3 weeks ago
- a Python package for unbiased estimation of timescales and hypothesis testing☆28Updated 7 months ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆104Updated last year
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- Tutorial☆11Updated 4 years ago
- ☆29Updated 2 months ago
- ☆30Updated 3 years ago
- A package to train neural networks to perform various motor tasks☆72Updated 3 months ago
- Preferential Subspace Identification Algorithm☆53Updated last year
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆13Updated 4 years ago
- STATS320: Statistical Methods for Neural Data Analysis☆198Updated 6 months ago
- Code for Galgali et al, 2023☆14Updated 2 years ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆41Updated 4 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆115Updated this week
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆93Updated 4 months ago
- Machine Learning Methods for Neural Data Analysis☆20Updated 7 months ago
- Preferential Subspace Identification Algorithm☆54Updated last week
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆52Updated 3 months ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆33Updated 9 months ago
- Implemenation of Manifold Inference from Neural Dynamics (MIND) from Low & Lewallen et. al, '18☆30Updated 6 years ago
- Training spiking neural networks for sound localization☆67Updated 2 weeks ago
- jPCA for Neural Data Analysis in Python☆52Updated 2 years ago
- Implementation of fixed point analysis for Recurrent Neural Network.☆23Updated 5 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆37Updated 7 years ago
- A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.☆248Updated 2 months ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆41Updated last year