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 4 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
- ☆24Jan 15, 2020Updated 6 years ago
- 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
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 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 last year
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆72Jul 18, 2023Updated 2 years ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆100Jul 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
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Aug 6, 2018Updated 7 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆37Aug 22, 2025Updated 10 months 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☆70May 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
- BV2BIDS is a command line tool that creates the EEG-BIDS folder hierarchy from BVCD files.☆10Mar 9, 2023Updated 3 years ago
- ☆14Oct 7, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- TVB applications to epilepsy☆19Sep 3, 2019Updated 6 years ago
- Stochastic Machines for Unsupervised Learning implemented in Pytorch.☆10Sep 3, 2017Updated 8 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆28Aug 29, 2016Updated 9 years ago
- Corresponding source code for the study "Real-time Synthesis of Imagined Speech Processes from Minimally Invasive Recordings of Neural Ac…☆11Jul 30, 2021Updated 4 years ago
- A curated list of free Machine Learning and AI courses offered by leading organizations, including Google, Microsoft, and more. Start you…☆12Oct 2, 2023Updated 2 years ago
- Bits and pieces posted on LinkedIn☆13Feb 22, 2025Updated last year
- Optimization algorithms for inverse problems.☆14Mar 19, 2024Updated 2 years ago
- ☆11Apr 8, 2021Updated 5 years ago
- Accompanying code for Aljadeff et al., 'Analysis of Neuronal Spike Trains, Deconstructed', Neuron (2016)☆11Jul 25, 2016Updated 9 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.
- A quickstart guide to tensor decomposition☆73May 10, 2022Updated 4 years ago
- Processing software that works with the Arduino Pulse Sensor Amped module. Displays heart rate variation data in graphical format.☆10Mar 15, 2016Updated 10 years ago
- Accelerometer-based gait recognition using signature points☆12Sep 21, 2016Updated 9 years ago
- Reproducible code for Augmentation paper☆17Jan 23, 2019Updated 7 years 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
- Detect synchronous and overlapped spikes in extracellular recordings using Binary Pursuit (Pillow et al 2013)☆12Jan 14, 2015Updated 11 years ago