Welcome to my Brain–Computer Interface (BCI) Journey —
A personal blog documenting my continuous exploration of neural signal decoding, EEG processing, and AI-driven neuroprosthetics.
| Date | Title | Topics |
|---|---|---|
| Oct 2025 | Understanding Basic Neuroscience | Neuron, Action Potentials, Spikes |
| Oct 2025 | Brain Regions and Functions | Brain Anatomy, Regions, Functions |
| Date | Title | Topics |
|---|---|---|
| Oct 2025 | 1. Basic of LIF Neuron using Python | Syanptic Input, Spikes visualization |
| Jan 2026 | 2. Basics of Modeling : What, How, & Why Models | Syanptic Input, Spikes visualization |
- EEG signal processing & visualization
- Feature extraction (CSP, PSD, wavelets)
- Machine learning for BCI classification
- Deep learning (CNNs, RNNs, Transformers for EEG)
- Neuroprosthetic control pipelines
- Datasets (BCI Competition IV, OpenBCI, DEAP, etc.)
Read short reviews of impactful BCI and neuro-AI papers:
📚 Research Summaries →
- Python, MNE, PyTorch, EEGLAB, Scikit-learn
- BCI Competition IV datasets
- OpenBCI GUI, BrainFlow SDK, LSL
- Plotly for EEG visualizations
This repository is not just for code —
it’s a learning log, research diary, and open resource for anyone diving into BCI and neural decoding.
“Understanding the brain through signals, and enabling machines to act through thoughts.”