DurstewitzLab / CNS-2023Links
A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
☆41Updated last year
Alternatives and similar repositories for CNS-2023
Users that are interested in CNS-2023 are comparing it to the libraries listed below
Sorting:
- Preferential Subspace Identification Algorithm☆55Updated last month
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆97Updated 6 months ago
- ☆31Updated last year
- ☆29Updated 3 months ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆25Updated 2 weeks ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆123Updated last month
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆72Updated 3 weeks ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆32Updated 5 months ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆15Updated 9 months ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆55Updated 5 years ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆29Updated 11 months ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆52Updated 4 months ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆59Updated 10 months ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated 2 years ago
- jPCA for Neural Data Analysis in Python☆52Updated 2 years ago
- Python tools for participating in Neural Latents Benchmark '21☆66Updated this week
- ☆60Updated 3 years ago
- ☆56Updated 6 months ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆56Updated 2 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 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
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆14Updated 9 months ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆33Updated last year
- Conditional Linear Dynamical Systems☆15Updated 3 months ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆42Updated 4 years ago
- ☆56Updated last year
- Methods for studying dynamic functional brain activity in neuroimaging data.☆80Updated this week
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Updated 2 years ago
- Preferential Subspace Identification Algorithm☆52Updated last year
- Home of the neural decode algorithm MINT.☆20Updated last year