Highlights
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Stars
A Bayesian model comparison of the tuning properties of a population of neurons, implemented in Stan
We turn natural language descriptions of behaviors into machine-executable code
Fiber photometry data preprocessing - denoising, photobleaching and motion correction.
Analyze freezing rate and other behavioral aspects of animals, using data from DeepLabCut. Especially optimized for cued fear conditioning.
Read MedPC data into python and matlab
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The codes, software, models, protocols, and etc. for building and using MINI2P to do the freely-moving recording and analysis. More details can be found in the original paper "Large-scale two-photo…
Analysis code for Akam et al. Neuron 2021 - The anterior cingulate cortex predicts future states to mediate model-based action selection.
Graduate School LaTeX templates for Lab rotation proposal + report, OIST beamer and Thesis + thesis proposal
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
📊 Benchmark multiple object trackers (MOT) in Python
NMA Computational Neuroscience course
Implementation of fixed point analysis for Recurrent Neural Network.
Basic time series modeling with Stan and Pystan
Processing pipelines for the HCP
A list of brain imaging datasets with multiple scans per subject. Feel free to update the list via 'pull requests'!
東京都 新型コロナウイルス感染症対策サイト / Tokyo COVID-19 Task Force website
A Python implementation of CSSR for epsilon-transducers.
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Website and projects for the OHBM Hackathon in Rome 2019
This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics for Generative Memory.
A collection of simple implementation of various inference methods