Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IBL, Churchland, Pouget and Pillow (2021)
☆59Aug 18, 2023Updated 2 years ago
Alternatives and similar repositories for glm-hmm
Users that are interested in glm-hmm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Bayesian learning and inference for state space models☆16Dec 23, 2021Updated 4 years ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆32Aug 6, 2024Updated last year
- ☆58Mar 4, 2025Updated last year
- ☆24Jan 15, 2020Updated 6 years ago
- Code for Galgali et al, 2023☆14Jan 11, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Bayesian learning and inference for state space models☆704May 9, 2025Updated last year
- A curated collection of neuroscience tasks with a common interface.☆328Mar 31, 2026Updated 2 months ago
- ☆16Oct 17, 2024Updated last year
- ☆31May 19, 2026Updated 3 weeks ago
- Unified environment and Issue tracker for all IBL☆18Mar 19, 2026Updated 2 months ago
- Tutorial codes for modeling brains with neural nets☆244Aug 12, 2021Updated 4 years ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 4 years ago
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Jul 11, 2023Updated 2 years ago
- Code for Functional Mixed Models for Fiber Photometry☆19Jul 30, 2025Updated 10 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆26Aug 20, 2024Updated last year
- Python package for analyzing behavioral data for Brain Observatory: Visual Behavior☆26Jun 8, 2026Updated last week
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆15Apr 13, 2025Updated last year
- ☆44Aug 6, 2025Updated 10 months ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆37Aug 22, 2025Updated 9 months ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆49Sep 27, 2019Updated 6 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Jul 6, 2023Updated 2 years ago
- Calcium imaging inter-session alignment☆17Jun 8, 2026Updated last week
- ☆11Oct 21, 2025Updated 7 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Preferential Subspace Identification Algorithm☆58Feb 7, 2026Updated 4 months ago
- The MVGC Multivariate Granger Causality toolbox for Granger-causal inference from time-series data.☆21Nov 27, 2025Updated 6 months ago
- ☆60Apr 15, 2024Updated 2 years ago
- MATLAB analysis functions for Miniscope project.☆19Mar 16, 2017Updated 9 years ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆35Oct 6, 2023Updated 2 years ago
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆19Oct 29, 2025Updated 7 months ago
- Harvey Lab miniaturized mouse VR rig hardware for virtual navigation and decision-making tasks☆45Aug 12, 2024Updated last year
- Soft Actor Critic for training musculoskeletal models☆20Nov 11, 2025Updated 7 months ago
- Reverse engineering of Metacognition toolbox☆19Jun 10, 2026Updated last week
- 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.
- Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA☆1,096May 30, 2026Updated 2 weeks ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆19Jul 4, 2024Updated last year
- Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks☆24May 6, 2018Updated 8 years ago
- Repository for code and lab resources for "Neural and Cognitive Models of Adaptive Decision Making" course (2018)☆11Jul 20, 2023Updated 2 years ago
- Generate a matrix of predictors corresponding to different behavioral variables and process a regression-based encoding model to obtain t…☆18Jul 14, 2019Updated 6 years ago
- ☆13Aug 28, 2025Updated 9 months ago
- Code for the paper "A Flexible Model of Working Memory" Bouchacourt and Buschman, 2019☆21Aug 12, 2019Updated 6 years ago