snel-repo / ComputationThroughDynamicsToolkitLinks
☆26Updated this week
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☆28Updated 8 months ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆66Updated 2 months ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆55Updated 7 months ago
- Preferential Subspace Identification Algorithm☆54Updated 4 months ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆33Updated 2 months ago
- jPCA for Neural Data Analysis in Python☆50Updated 2 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆38Updated last year
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆24Updated this week
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆12Updated 6 months ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆16Updated 6 months ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆88Updated 2 months ago
- ☆59Updated 3 years ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆31Updated last year
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆51Updated 2 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆85Updated 2 months ago
- ☆20Updated 3 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆50Updated 3 weeks ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 7 months ago
- ☆54Updated last year
- Analysis code used to create figures in Gao et al., 2017☆15Updated 8 years ago
- ☆56Updated 7 months ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- ☆55Updated 3 months ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆115Updated 8 months ago
- Machine Learning Methods for Neural Data Analysis☆19Updated 5 months ago
- Python tools for participating in Neural Latents Benchmark '21☆63Updated last year
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated 2 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆107Updated this week