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 8 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 8 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- Recordings of 10k neurons during spontaneous behaviors☆54Updated last year
- Code for Galgali et al, 2023☆14Updated 3 years ago
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 8 years ago
- ☆41Updated 5 months ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆51Updated 4 years ago
- Gaussian Process Factor Analysis☆32Updated 10 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆55Updated 9 years ago
- Dimensionality reduction of spikes trains☆49Updated 4 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆37Updated 7 years ago
- YASS: Yet Another Spike Sorter☆70Updated 3 years ago
- Tools for spike data analysis and visualization☆110Updated 2 years ago
- jPCA for Neural Data Analysis in Python☆52Updated 2 years ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆13Updated 2 years ago
- Recurrent state-space models for decision making☆30Updated 3 years ago
- non-parametric inference for convolutional filters in poisson glms☆13Updated 4 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆46Updated 6 years ago
- Some python functions to supplement the NEURON python module☆29Updated 6 years ago
- Coding exercises for Neural Data Science at CSHL in 2019☆30Updated 5 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆86Updated last week
- An algorithm for unsupervised discovery of sequential structure☆169Updated last year
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆52Updated 3 months ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆43Updated 6 years ago
- a Python machine learning library for neurophysiology data☆36Updated 7 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆55Updated 5 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆72Updated 5 years ago
- IBL core shared libraries☆66Updated this week
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆31Updated 2 years ago