ahwillia / tensortools
A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
☆33Updated last year
Alternatives and similar repositories for tensortools:
Users that are interested in tensortools are comparing it to the libraries listed below
- ☆48Updated 2 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆47Updated 5 months ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆46Updated this week
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆44Updated 5 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆29Updated 2 years ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆55Updated 2 weeks ago
- Preferential Subspace Identification Algorithm☆52Updated 4 months ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆68Updated 4 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆20Updated last year
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆33Updated 11 months ago
- ☆29Updated 2 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- ☆22Updated 5 years ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆42Updated last year
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆37Updated 5 years ago
- Pytorch implementation of LocaNMF☆35Updated 5 years ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆34Updated 2 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.☆14Updated 6 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆91Updated this week
- Bayesian learning and inference for state space models☆11Updated 3 years ago
- WIP: Python port of Kilosort2☆50Updated last year
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆25Updated last year
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆17Updated last month
- Code accompanying Steinmetz et al., 2019☆59Updated 3 years ago
- Tools for analyzing spiking data from single-neuron recodings.☆26Updated this week
- pynapple collaborative data analysis (high level python scripts)☆37Updated 11 months ago
- Implemenation of Manifold Inference from Neural Dynamics (MIND) from Low & Lewallen et. al, '18☆26Updated 6 years ago
- ☆50Updated last week
- SpikeForest -- spike sorting analysis for website -- version 2☆34Updated 2 years ago