ahwillia / tensortoolsLinks
A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
☆35Updated last year
Alternatives and similar repositories for tensortools
Users that are interested in tensortools are comparing it to the libraries listed below
Sorting:
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆52Updated 2 months ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 8 months ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆31Updated last month
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆72Updated 3 months ago
- ☆52Updated 2 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆46Updated 5 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆20Updated last month
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆35Updated 2 years ago
- Pytorch implementation of LocaNMF☆36Updated 5 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated 2 months ago
- Implemenation of Manifold Inference from Neural Dynamics (MIND) from Low & Lewallen et. al, '18☆29Updated 6 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆70Updated 5 years ago
- IBL core shared libraries☆63Updated this week
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆16Updated last month
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 3 months ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆40Updated 5 years ago
- WIP: Python port of Kilosort2☆51Updated last year
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆53Updated 4 years ago
- Preferential Subspace Identification Algorithm☆52Updated last week
- Code accompanying Steinmetz et al., 2019☆60Updated 3 years ago
- A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.☆14Updated 7 years ago
- Automatic spike sorting, cluster visualization, spike sorting GUIs☆44Updated last year
- pynapple collaborative data analysis (high level python scripts)☆37Updated last year
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆98Updated this week
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di …☆25Updated last year
- ☆30Updated 2 years ago
- Code implements the LN model used to describe spike trains of MEC neurons based on the animal's position, head direction, speed, and thet…☆23Updated 2 years ago