StoopwenpueNq/jackie-fmri-sim

选用指南

AI 根据 README 整理 · 2026/10/15 14:04:20

使用方式

通过命令行交互式查询，支持文本刺激和预设社交条件。

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Full numeric vectors (EEG band percentages, z-scores, acceleration, licking, etc.) are stored as `Session` dataclasses inside `scan_data.py`. --- Example session: > best friend dog #42 best friend dog → affection HR=112.0 arousal=0.412 {'joy': 0.61, ...} > i 1.6 random street dog #43 random street dog → anxiety HR=124.0 arousal=0.783 ... > social random street dog → anxiety HR=124 fMRI=assets/image - 2026-10-14T115850.011.jpg best friend dog → affection HR=112 fMRI=assets/image - 2026-10-14T115911.524.jpg

部署要求

需要 Python 3.9 或更高版本，目前仅依赖标准库。

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# jackie-brain-twin **Digital twin of the canine subject “Jackie” (Canis lupus familiaris)** Reconstructed from multi-session functional MRI, simultaneous EEG, physiological telemetry and behavioural annotation.    --- ## Table of Contents 1. [Project Summary](#project-summary) 2. [Scientific Background](#scientific-background) 3. [Included fMRI Slices](#included-fmri-slices)

neighbor dog → calm HR=98 fMRI=assets/image - 2026-10-14T115921.681.jpg ## Installation ```bash git clone https://github.com/<your-username>/jackie-brain-twin.git cd jackie-brain-twin python -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\activate pip install -r requirements.txt # currently only stdlib required

已知限制

作者未明确列出限制，但项目状态为研究原型。

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# jackie-brain-twin **Digital twin of the canine subject “Jackie” (Canis lupus familiaris)** Reconstructed from multi-session functional MRI, simultaneous EEG, physiological telemetry and behavioural annotation.    --- ## Table of Contents 1. [Project Summary](#project-summary) 2. [Scientific Background](#scientific-background) 3. [Included fMRI Slices](#included-fmri-slices)