snel-repo / ComputationThroughDynamicsToolkitLinks
☆29Updated 2 months ago
Alternatives and similar repositories for ComputationThroughDynamicsToolkit
Users that are interested in ComputationThroughDynamicsToolkit are comparing it to the libraries listed below
Sorting:
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆29Updated 10 months ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆71Updated 2 weeks ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆58Updated 9 months ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆15Updated 8 months ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆41Updated last year
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆55Updated 5 years ago
- Preferential Subspace Identification Algorithm☆54Updated last week
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆13Updated 8 months ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 9 months ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆32Updated 4 months ago
- 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
- jPCA for Neural Data Analysis in Python☆52Updated 2 years ago
- ☆60Updated 3 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆25Updated 2 months ago
- ☆20Updated 3 years ago
- Machine Learning Methods for Neural Data Analysis☆20Updated 7 months 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
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆37Updated 7 years ago
- Python tools for participating in Neural Latents Benchmark '21☆66Updated last year
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆52Updated 3 months ago
- ☆56Updated 5 months ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆115Updated this week
- A package to train neural networks to perform various motor tasks☆72Updated 3 months ago
- 2023: Preserved neural dynamics across animals performing similar behaviour☆17Updated 5 months ago
- ☆56Updated 9 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
- Code for Galgali et al, 2023☆14Updated 2 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆120Updated last week
- ☆31Updated last year