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 3 years ago
- Gaussian Process Factor Analysis☆32Aug 27, 2015Updated 11 years ago
- Matlab codepack for performing dimensionality reduction on neural data using TD-GPFA or GPFA.☆22Jul 30, 2017Updated 9 years ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆47Jul 6, 2026Updated last month
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)☆325Jul 29, 2026Updated last month
- ☆12Sep 8, 2025Updated 11 months ago
- jPCA for Neural Data Analysis in Python☆54Jul 5, 2023Updated 3 years ago
- MountainLab is data processing, sharing and visualization software for scientists. It is built around MountainSort, spike sorting softwar…☆46Apr 30, 2019Updated 7 years ago
- Rapid Profiling and Deconvolution Tool for Metagenomes☆114Jul 28, 2026Updated last month
- ☆20Jan 27, 2026Updated 7 months ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆28Aug 29, 2016Updated 10 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆21May 15, 2018Updated 8 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
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆11Feb 27, 2023Updated 3 years ago
- Distribution Alignment Decoder (DAD)☆16Dec 22, 2017Updated 8 years ago
- Fast and scalable spike sorting in python☆99Jul 28, 2025Updated last year
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆20Nov 26, 2017Updated 8 years ago
- MatlabBridge extension for 3D Slicer☆19Apr 23, 2024Updated 2 years ago
- Low-dimensional PCA-derived manifolds and everything in between!☆16Sep 19, 2024Updated last year
- Tools for spatial and temporal autocorrelation☆13Mar 12, 2022Updated 4 years ago
- Jupyter Notebooks of Leonard Susskind's Statistical Mechanics lectures☆17Oct 31, 2018Updated 7 years ago
- Extension of Convex.jl for disciplined multiconvex optimization☆10Feb 22, 2017Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Sep 12, 2019Updated 6 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆56Mar 3, 2016Updated 10 years ago
- SegRef3D: AI-Powered Segmentation and Interactive Refinement for Labor-Saving 3D Reconstruction☆18Updated this week
- Determining the Hierarchical Architecture of the Human Brain Using Subject-Level Clustering of Functional Networks☆14Dec 8, 2023Updated 2 years ago
- Implementation of the cluster dynamical mean-field theory☆10May 29, 2021Updated 5 years ago
- Dynamic Time Warping (DTW) and related algorithms in Julia☆13Mar 8, 2020Updated 6 years ago
- A collaborative list of resources for Computational Neuroscience☆22Aug 12, 2020Updated 6 years ago
- Urai AE, de Gee JW, Tsetsos K, Donner TH (2019) Choice history biases subsequent evidence accumulation. eLife☆16Jul 20, 2020Updated 6 years ago
- Tools for spike data analysis and visualization☆114Feb 4, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Preferential Subspace Identification Algorithm☆58Feb 7, 2026Updated 6 months ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆52Dec 17, 2021Updated 4 years ago
- A PyTorch implementation of InfoVAE: Balancing Learning and Inference in Variational Autoencoders by Zhao et al.☆11Aug 13, 2019Updated 7 years ago
- Matlab interface to identify motor unit spiking activity in real-time and display biofeedbacks based on this activity.☆12Sep 27, 2024Updated last year
- Recurrent state-space models for decision making☆34Oct 25, 2022Updated 3 years ago
- build process for turning ipython notebooks into markdown files for your jekyll blog☆18Oct 8, 2014Updated 11 years ago
- A spike raster plot from spike time stamps with optional trial and group data.☆12Nov 15, 2024Updated last year