DurstewitzLab / DataAnaBookLinks
MatLab code for Srpinger book 'Advanced Data Analysis in Neuroscience'
☆22Updated 7 years ago
Alternatives and similar repositories for DataAnaBook
Users that are interested in DataAnaBook are comparing it to the libraries listed below
Sorting:
- 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
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆32Updated 5 months ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 8 years ago
- non-parametric inference for convolutional filters in poisson glms☆13Updated 4 years ago
- ☆57Updated 11 months ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆25Updated last week
- Machine Learning Methods for Neural Data Analysis☆20Updated 8 months ago
- Code and data for the book "Case Studies in Neural Data Analysis"☆36Updated 8 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆46Updated 6 years ago
- Automatic spike sorting, cluster visualization, spike sorting GUIs☆46Updated 2 months ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆15Updated 10 months ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆32Updated 2 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
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆43Updated 6 years ago
- Python package for power mapping and functional connectivity using DICS☆38Updated 2 months ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated 2 years ago
- jPCA for Neural Data Analysis in Python☆52Updated 2 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆51Updated 4 years ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆33Updated last year
- Coding exercises for Neural Data Science at CSHL in 2019☆30Updated 5 years ago
- Gaussian Process Factor Analysis☆32Updated 10 years ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆29Updated 11 months ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆73Updated 5 years ago
- ☆29Updated 3 months ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆42Updated 4 years ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆56Updated 2 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆52Updated 4 months ago
- Code for Galgali et al, 2023☆14Updated 3 years ago
- Preferential Subspace Identification Algorithm☆52Updated last year