This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural responses.
☆13Feb 8, 2023Updated 3 years ago
Alternatives and similar repositories for GLM_and_Izhikevich
Users that are interested in GLM_and_Izhikevich are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Gaussian process factor analysis with Poisson observations☆21Jul 6, 2022Updated 3 years ago
- Code for Galgali et al, 2023☆14Jan 11, 2023Updated 3 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆49Sep 27, 2019Updated 6 years ago
- Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`☆15Sep 11, 2021Updated 4 years ago
- ☆24Jan 15, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆11Dec 5, 2019Updated 6 years ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆17Apr 6, 2025Updated last year
- 2023: Preserved neural dynamics across animals performing similar behaviour☆18Jul 1, 2025Updated 11 months ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆99Jul 18, 2022Updated 3 years ago
- sequential learning in orthogonal subspaces☆14Nov 20, 2020Updated 5 years ago
- Datasets☆26Apr 30, 2015Updated 11 years ago
- non-parametric inference for convolutional filters in poisson glms☆13Sep 20, 2021Updated 4 years ago
- Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.☆19May 18, 2017Updated 9 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆73May 12, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Aug 6, 2018Updated 7 years ago
- Course materials for the 2018 Summer Workshop on the Dynamic Brain☆23Aug 29, 2018Updated 7 years ago
- Code to create the figures and solve the exercises in the textbook☆66May 14, 2026Updated last month
- Official codebase for our NeurIPS paper, Symmetry-Informed Governing Equation Discovery.☆11Nov 13, 2024Updated last year
- Code of the Hasler project between LASA and CNBI☆12Mar 6, 2020Updated 6 years ago
- MatLab code for Srpinger book 'Advanced Data Analysis in Neuroscience'☆22May 20, 2018Updated 8 years ago
- ☆12Jul 6, 2023Updated 2 years ago
- Talk and demo notebooks for PyData Chicago, August 2016: http://pydata.org/chicago2016/schedule/presentation/15/☆12Oct 29, 2016Updated 9 years ago
- BV2BIDS is a command line tool that creates the EEG-BIDS folder hierarchy from BVCD files.☆10Mar 9, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆14Oct 7, 2022Updated 3 years ago
- Demixed Shared Component Analysis☆13Oct 22, 2020Updated 5 years ago
- TVB applications to epilepsy☆19Sep 3, 2019Updated 6 years ago
- The Neural Encoding Model System (NEMS) provides tools to fit and evaluate models of sensory encoding and decoding.☆12May 22, 2026Updated 3 weeks ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆28Aug 29, 2016Updated 9 years ago
- Bits and pieces posted on LinkedIn☆13Feb 22, 2025Updated last year
- Optimization algorithms for inverse problems.☆14Mar 19, 2024Updated 2 years ago
- ☆10Apr 8, 2021Updated 5 years ago
- A quickstart guide to tensor decomposition☆73May 10, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Accelerometer-based gait recognition using signature points☆12Sep 21, 2016Updated 9 years ago
- A comprehensive Python and R-based toolkit for clustering and sorting electrophysiology data recorded using Intan RHD2132 chips. Original…☆10Mar 16, 2026Updated 3 months ago
- Variational Bayesian GP-LVM model in MATLAB.☆12Jun 8, 2015Updated 11 years ago
- A novel general non-stationary point process model based on neural networks.☆10Sep 23, 2022Updated 3 years ago
- ☆63Sep 5, 2022Updated 3 years ago
- Reproduction of Curiosity-driven Exploration by Self-supervised Prediction in PyTorch☆13Jun 10, 2019Updated 7 years ago
- Detect synchronous and overlapped spikes in extracellular recordings using Binary Pursuit (Pillow et al 2013)☆12Jan 14, 2015Updated 11 years ago