gamaleldin / TMELinks
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…
☆18Updated 7 years ago
Alternatives and similar repositories for TME
Users that are interested in TME are comparing it to the libraries listed below
Sorting:
- This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…☆10Updated 7 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆35Updated last year
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆66Updated last year
- ☆52Updated 2 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆49Updated 3 years ago
- Recordings of 10k neurons during spontaneous behaviors☆52Updated 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
- 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
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆18Updated 7 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
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆53Updated 4 years ago
- Revealing neural correlates of behavior without behavioral measurements☆14Updated 5 years ago
- Machine Learning Methods for Neural Data Analysis☆16Updated 2 weeks ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆46Updated 5 years ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆16Updated last month
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆39Updated 3 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆20Updated last month
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- non-parametric inference for convolutional filters in poisson glms☆13Updated 3 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆52Updated 2 months ago
- Multichannel time series lossless compression in pure Python based on NumPy and zlib☆39Updated 2 months ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 years ago
- Coding exercises for Neural Data Science at CSHL in 2019☆29Updated 5 years ago
- ☆23Updated 5 years ago
- Gaussian Process Factor Analysis☆30Updated 9 years ago