This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified set of first and second order marginal moments of a data tensor, which makes it well equipped to test for the null hypothesis that a structure in data is an epiphenomenon of these specified set of primary featu…
☆18Sep 9, 2017Updated 8 years ago
Alternatives and similar repositories for TME
Users that are interested in TME are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…☆10Sep 9, 2017Updated 8 years ago
- Repository for code and lab resources for "Neural and Cognitive Models of Adaptive Decision Making" course (2018)☆11Jul 20, 2023Updated 2 years ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆30Mar 3, 2026Updated last month
- Gaussian Process Factor Analysis☆32Aug 27, 2015Updated 10 years ago
- Matlab codepack for performing dimensionality reduction on neural data using TD-GPFA or GPFA.☆22Jul 30, 2017Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆11Sep 8, 2025Updated 7 months ago
- An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)☆319Dec 5, 2025Updated 4 months ago
- jPCA for Neural Data Analysis in Python☆53Jul 5, 2023Updated 2 years ago
- ☆19Jan 27, 2026Updated 3 months ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Aug 22, 2023Updated 2 years ago
- PipeDream - open source neuroimaging pipelines☆17Aug 29, 2019Updated 6 years ago
- MountainLab is data processing, sharing and visualization software for scientists. It is built around MountainSort, spike sorting softwar…☆47Apr 30, 2019Updated 6 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆28Aug 29, 2016Updated 9 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆21May 15, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- cli for downloading data from crcns.org☆36Nov 11, 2023Updated 2 years ago
- This is a matlab implementation of Dynamic Time-Alignment (DTA) K-Means Kernel Clustering For Time Sequence Clustering. The code is simil…☆11Jan 11, 2016Updated 10 years ago
- Distribution Alignment Decoder (DAD)☆16Dec 22, 2017Updated 8 years ago
- ☆11Feb 27, 2023Updated 3 years ago
- Fast and scalable spike sorting in python☆96Jul 28, 2025Updated 9 months ago
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Nov 26, 2017Updated 8 years ago
- MatlabBridge extension for 3D Slicer☆19Apr 23, 2024Updated 2 years ago
- Jupyter Notebooks of Leonard Susskind's Statistical Mechanics lectures☆17Oct 31, 2018Updated 7 years ago
- Low-dimensional PCA-derived manifolds and everything in between!☆16Sep 19, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Tools for spatial and temporal autocorrelation☆13Mar 12, 2022Updated 4 years ago
- A mouse brain histology tool for neuroscientists.☆13Feb 16, 2026Updated 2 months ago
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Sep 12, 2019Updated 6 years ago
- build process for turning ipython notebooks into markdown files for your jekyll blog☆18Oct 8, 2014Updated 11 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆55Mar 3, 2016Updated 10 years ago
- Sparse coding (Olshausen & Field, 1996)☆12Aug 19, 2020Updated 5 years ago
- Rapid Profiling and Deconvolution Tool for Metagenomes☆114Apr 9, 2024Updated 2 years ago
- Determining the Hierarchical Architecture of the Human Brain Using Subject-Level Clustering of Functional Networks☆13Dec 8, 2023Updated 2 years ago
- Implementation of the cluster dynamical mean-field theory☆10May 29, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- preprocessing scripts for diffusion imaging☆10Sep 6, 2019Updated 6 years ago
- Urai AE, de Gee JW, Tsetsos K, Donner TH (2019) Choice history biases subsequent evidence accumulation. eLife☆15Jul 20, 2020Updated 5 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆51Dec 17, 2021Updated 4 years ago
- Tools for spike data analysis and visualization☆113Feb 4, 2023Updated 3 years ago
- Preferential Subspace Identification Algorithm☆57Feb 7, 2026Updated 2 months ago
- A PyTorch implementation of InfoVAE: Balancing Learning and Inference in Variational Autoencoders by Zhao et al.☆10Aug 13, 2019Updated 6 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆35Mar 17, 2025Updated last year