gamaleldin / TME
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
- 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
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆49Updated 3 years ago
- Code for Galgali et al, 2023☆12Updated 2 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆33Updated 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
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆32Updated 6 years ago
- ☆49Updated 2 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆47Updated 4 months ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆36Updated 3 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆64Updated last year
- jPCA for Neural Data Analysis in Python☆46Updated last year
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 7 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆28Updated 2 years ago
- Recordings of 10k neurons during spontaneous behaviors☆50Updated 10 months ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆44Updated 5 years ago
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- Machine Learning Methods for Neural Data Analysis☆13Updated 6 months ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆19Updated last year
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆45Updated 4 months ago
- ☆22Updated 5 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆37Updated 5 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated last year
- Gaussian Process Factor Analysis☆28Updated 9 years ago
- latent manifold tuning model / P-GPLVM☆12Updated 5 years ago
- ☆50Updated 4 years ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆11Updated 2 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- ☆23Updated 3 months ago