Neurotechnology | Brain-Computer Interface | Neural Interfaces
MS Biomedical Engineering – UC Irvine
Researcher in neural circuits and neuroengineering
I build brain-computer interfaces and neural interface prototypes that connect neural signals to interactive systems.
Brain-Computer Interfaces (BCI)
Neural signal decoding
Human-machine interaction
Neural stimulation technologies
Motor imagery EEG control system for simulation and drone control
EEG signals from OpenBCI Cyton are decoded and translated into joystick commands using a real-time signal processing pipeline.
Key components
• EEG acquisition using OpenBCI Cyton
• Motor imagery signal decoding
• Python signal processing pipeline
• Virtual joystick output via vJoy
• Integration with drone / flight simulation environments
Repository
https://github.com/Skiyoshika/BCI-Flystick
Brain-controlled game interface
Rust-based control system extending the BCI-Flystick pipeline for real-time game interaction.
Motor imagery EEG signals are translated into joystick inputs for controlling game characters.
Repository
https://github.com/Skiyoshika/Neurostick
Fluorescence microscopy analysis plugin
ImageJ / Fiji plugin for processing multi-channel fluorescence microscopy datasets.
Designed to support scalable biological image analysis pipelines.
Repository
https://github.com/Skiyoshika/FSCell
Exploring focused ultrasound for stimulating somatosensory cortex and recreating tactile perception.
Current work includes phased-array focusing simulations and hardware prototyping.
Programming
Python
Rust
Java (ImageJ plugins)
Neurotechnology
EEG acquisition
Motor imagery BCI systems
Real-time signal pipelines
Neuroimaging
ImageJ / Fiji
Brain atlas registration
Fluorescence microscopy analysis
Engineering
3D printing
Hardware prototyping
Experimental neural interface systems


