DurstewitzLab / CNS-2023Links
A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
☆40Updated 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:
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆90Updated 3 months ago
- Preferential Subspace Identification Algorithm☆54Updated 5 months ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆51Updated last month
- ☆31Updated last year
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆68Updated last week
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆32Updated 2 months ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆55Updated 4 years ago
- ☆26Updated 3 weeks ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆25Updated 3 weeks ago
- ☆60Updated 3 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆57Updated 8 months ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 9 months ago
- Python tools for participating in Neural Latents Benchmark '21☆65Updated last year
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆119Updated 9 months ago
- jPCA for Neural Data Analysis in Python☆52Updated 2 years ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆15Updated 7 months ago
- ☆56Updated 4 months ago
- Preferential Subspace Identification Algorithm☆53Updated last year
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆53Updated 2 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated 2 years ago
- Exercises and examples for the latent dynamics workshop☆19Updated 4 months ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆31Updated last year
- A MATLAB toolbox for performing information theory analyses of neuroscience data☆76Updated 7 years ago
- ☆30Updated 3 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆85Updated this week
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆41Updated 3 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆43Updated 6 years ago
- ☆82Updated 3 years ago