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African-Brain-Data-Network/ABDN_TA_Fellowship_Curriculum

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healthcare
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Afr
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# ABDN TA Curriculum Repository ## Overview This repository contains structured teaching curricula for multiple neuroimaging and neuroscience modalities, developed for the **ABDN Teaching Assistant (TA) Program**. The goal is to provide a modular, reproducible, and practical learning pathway that moves from foundational theory to hands-on data analysis and scientific writing. The curriculum is organized into four core modalities: * EEG (Electroencephalography) * MRI / fMRI (Magnetic Resonance Imaging / Functional MRI) * Electrophysiology * fNIRS (Functional Near-Infrared Spectroscopy) Each modality is delivered over a **5-month period (June–October)** and follows a consistent progression: 1. Foundations and theory 2. Data acquisition and experimental design 3. Data analysis and tools 4. Scientific writing 5. Final paper development and presentation --- ## Repository Structure ``` abdn-ta-curriculum/ ├── README.md └── curricula/ ├── eeg.md ├── mri_fmri.md ├── electrophysiology.md └── fnir.md ``` ### File Descriptions | File | Description | | ---------------------- | ---------------------------------------------------------------------- | | `eeg.md` | Curriculum for EEG, including signal processing and brainwave analysis | | `mri_fmri.md` | Covers structural and functional neuroimaging techniques | | `electrophysiology.md` | Focuses on cellular and systems-level neural recordings | | `fnir.md` | Introduces optical brain imaging using fNIRS | --- ## Curriculum Design Philosophy This curriculum is designed around three key principles: ### 1. Progressive Learning Students begin with **fundamental neuroscience concepts**, gradually moving toward: * Experimental design * Data acquisition * Signal processing * Real-world dataset analysis ### 2. Hands-On Experience Each track emphasizes prac …