Decoding the Brain's Unique Signature
Independent neuroscience research laboratory advancing neural fingerprinting and neuro-phenotyping through EEG analysis and machine learning
An independent neuroscience laboratory advancing consciousness research and neurotechnology development
Binuri Beneragama
Medical Student | Independent Neuroscience Researcher
IchiZen Labs operates as an independent laboratory, exploring neural fingerprinting and consciousness studies outside traditional academic frameworks. Founded by a medical student with a passion for understanding individual brain differences, our work bridges clinical medicine and computational neuroscience to develop novel approaches to brain pattern analysis.
We focus on EEG-based neural fingerprinting, neuro-phenotyping classification systems, brain-computer interface development, and consciousness research applications. Through open scientific collaboration, transparent research methodology, community-driven development, and ethical neuroscience practices, we advance understanding of individual neurobiology.
Our laboratory is committed to rigorous scientific inquiry while maintaining independence from traditional institutional constraints. We believe in making neuroscience research accessible, transparent, and applicable to real-world challenges. Through careful experimentation and validation, we work to establish reliable methods for understanding and categorizing individual brain patterns, opening new possibilities for personalized neuroscience applications in healthcare, technology, and human optimization.
Investigating individual neurobiology through advanced EEG analysis and pattern recognition
Unique Brain Identification
Establishing EEG oscillatory features as stable, unique biometric identifiers with high test-retest reliability.
Individual alpha frequency (IAF), alpha reactivity patterns, and theta/beta ratios form distinct neural signatures.
Custom 4-channel EEG hardware + software platform designed for neural fingerprinting research
A custom-built EEG acquisition system optimized for neural fingerprinting studies. The hardware captures clean, low-noise brain signals while our proprietary software analyzes alpha, beta, theta, and gamma oscillations to extract unique neural signatures.
4 channels • 256 Hz sampling • 24-bit ADC • Bluetooth/WiFi connectivity
Real-time analysis of IAF (Individual Alpha Frequency), alpha reactivity, and theta/beta ratios for unique biometric identification
Custom algorithms for neuro-phenotyping classification and pattern recognition across sessions
Developing research-grade neuroscience hardware requires significant resources. Your support helps cover PCB engineering, specialized components, 3D printing, and software development costs.
Show Your SupportAll contributions directly fund hardware development and research advancement
Join our study and contribute to advancing neural phenotyping research
Help advance independent neuroscience research and neural phenotyping studies
Interested in collaboration, research partnerships, or learning more about our work?
Home-based laboratory, Tbilisi, Georgia
Open to partnerships with academic institutions, technology companies, and research organizations