benengx / encodingmodel
Generate a matrix of predictors corresponding to different behavioral variables and process a regression-based encoding model to obtain the relative contributions of the different behavioral variables to the activity of each neuron
☆17Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for encodingmodel
- Revealing neural correlates of behavior without behavioral measurements☆13Updated 5 years ago
- Tools to register histological section images and cell count locations to mouse brain atlas☆24Updated 2 years ago
- Neuroscience/electrophsyiology data analysis tools (mostly Matlab)☆14Updated 5 years ago
- Pytorch implementation of LocaNMF☆33Updated 4 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆43Updated 5 years ago
- ☆21Updated 4 years ago
- Computational toolbox for analysis of calcium imaging data of neuronal populations☆31Updated last year
- Detect synchronous and overlapped spikes in extracellular recordings using Binary Pursuit (Pillow et al 2013)☆13Updated 9 years ago
- A GUI and library for doing multi-fiber photometry☆17Updated 7 years ago
- Functions to assess quality of spike sorting results☆31Updated last year
- pyqt5 dependent applications for IBL sessions☆25Updated last week
- ☆33Updated 3 years ago
- Match suite2p ROIs between imaging sessions☆23Updated 5 years ago
- Region Of Interest Classification and Tracking☆14Updated this week
- A MATLAB toolbox for running behavioral neuroscience experiments and managing data☆33Updated 5 months ago
- ☆51Updated 2 months ago
- spike extraction from calcium signals (Deneux et al., 2016)☆28Updated 4 years ago
- Histology processing☆64Updated 8 months ago
- ☆47Updated 3 years ago
- EXTRACT is a tractable and robust automated cell extraction tool for calcium imaging, which extracts the activities of cells as time seri…☆65Updated 2 weeks ago
- Neuropixels case for chronic recordings in freely moving mice.☆16Updated 4 years ago
- Code implements the LN model used to describe spike trains of MEC neurons based on the animal's position, head direction, speed, and thet…☆21Updated 2 years ago
- JRCLUST☆34Updated 6 months ago
- Matlab codepack for performing dimensionality reduction on neural data using TD-GPFA or GPFA.☆19Updated 7 years ago
- a Python machine learning library for neurophysiology data☆36Updated 6 years ago
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 6 years ago
- IaC codebase for the NeuroCAAS Platform☆34Updated 11 months ago
- WIP: Python port of Kilosort2☆50Updated last year
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆35Updated 5 years ago
- "Approaches to Study Neural Circuits" course☆63Updated 3 years ago