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:
- non-parametric inference for convolutional filters in poisson glms☆13Sep 20, 2021Updated 5 years ago
- Gaussian process factor analysis with Poisson observations☆21Jul 6, 2022Updated 4 years ago
- Code for Galgali et al, 2023☆15Jan 11, 2023Updated 3 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆51Sep 27, 2019Updated 7 years ago
- ☆24Jan 15, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Fast approximate inference for Poisson GLMs☆11Oct 20, 2019Updated 7 years ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆20Apr 6, 2025Updated last year
- 2023: Preserved neural dynamics across animals performing similar behaviour☆18Jul 1, 2025Updated last year
- 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
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆102Jul 18, 2022Updated 4 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆72Jul 18, 2023Updated 3 years ago
- ☆64Sep 5, 2022Updated 4 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Oct 3, 2023Updated 3 years ago
- sequential learning in orthogonal subspaces☆14Nov 20, 2020Updated 5 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- DockerBooks☆17Jun 2, 2018Updated 8 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆72May 12, 2020Updated 6 years ago
- Method to find contrastive dimensions between experimental conditions☆29Mar 29, 2026Updated 6 months ago
- Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.☆20May 18, 2017Updated 9 years ago
- Python programming for Digital Signal Processing algorithm implementations☆11Dec 26, 2022Updated 3 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆39Aug 22, 2025Updated last year
- code to implement our sequential monte carlo (smc) algorithm to perform optimal optical spike inference (oopsi) for individual neurons☆16Nov 28, 2016Updated 9 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Aug 6, 2018Updated 8 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆27Jan 26, 2026Updated 8 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Templates for AWS Terraform CI/CD video☆15Feb 28, 2024Updated 2 years ago
- Code of the Hasler project between LASA and CNBI☆12Mar 6, 2020Updated 6 years ago
- The Neural Encoding Model System (NEMS) provides tools to fit and evaluate models of sensory encoding and decoding.☆13Oct 9, 2026Updated 2 weeks ago
- Course materials for the 2018 Summer Workshop on the Dynamic Brain☆24Aug 29, 2018Updated 8 years ago
- EEG Foundation Models with Paper and Code☆20Mar 15, 2026Updated 7 months ago
- An algorithm for unsupervised discovery of sequential structure☆178Mar 17, 2024Updated 2 years ago
- ☆15Oct 7, 2022Updated 4 years ago
- Demixed Shared Component Analysis☆13Oct 22, 2020Updated 6 years ago
- Official codebase for our NeurIPS paper, Symmetry-Informed Governing Equation Discovery.☆11Nov 13, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Template for creating a Python Flask/Dash/Plotly single-page-application (SPA) for interactively charting IoT-type time series data store…☆23Nov 12, 2020Updated 5 years ago
- ☆12Jul 6, 2023Updated 3 years ago
- TVB applications to epilepsy☆20Sep 3, 2019Updated 7 years ago
- Software supplement for the paper "Sparse and Low Rank Matrix Decomposition: A Discrete Optimization Approach" by Dimitris Bertsimas, R…☆11Jul 27, 2024Updated 2 years ago
- A comprehensive Python and R-based toolkit for clustering and sorting electrophysiology data recorded using Intan RHD2132 chips. Original…☆10Mar 16, 2026Updated 7 months ago
- Psychometric curve fitting functions☆11Mar 12, 2023Updated 3 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆145Updated this week