IchiZen Labs

Decoding the Brain's Unique Signature

Independent neuroscience research laboratory advancing neural fingerprinting and neuro-phenotyping through EEG analysis and machine learning

LIVE EEG
256 Hz
0s Time → 4s

About IchiZen Labs

An independent neuroscience laboratory advancing consciousness research and neurotechnology development

Founder & Lead Researcher

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.

Research Philosophy

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.

Current Research Project

Investigating individual neurobiology through advanced EEG analysis and pattern recognition

Neural Fingerprinting

Unique Brain Identification

Research Objective

Establishing EEG oscillatory features as stable, unique biometric identifiers with high test-retest reliability.

Scientific Basis

Individual alpha frequency (IAF), alpha reactivity patterns, and theta/beta ratios form distinct neural signatures.

Applications

Authentication Medical ID Security Research

IchiZen EEG System

Custom 4-channel EEG hardware + software platform designed for neural fingerprinting research

4-Channel Research-Grade EEG

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.

Key Specifications

4 channels • 256 Hz sampling • 24-bit ADC • Bluetooth/WiFi connectivity

EEG Hardware + Software Diagram

Software Capabilities

Neural Signature Extraction

Real-time analysis of IAF (Individual Alpha Frequency), alpha reactivity, and theta/beta ratios for unique biometric identification

Machine Learning Pipeline

Custom algorithms for neuro-phenotyping classification and pattern recognition across sessions

What It Takes to Build This System

PCB Design & Assembly

  • Specialized PCB engineers for hire
  • Multi-layer board design
  • SMD component assembly

Specialized Components

  • 24-bit ADC converters
  • Medical-grade electrodes
  • Low-noise amplifiers

3D Printing & Enclosure

  • Custom 3D printed casing
  • Professional-grade materials
  • Ergonomic design iterations

Software Development

  • Signal processing algorithms
  • Data visualization tools
  • Machine learning integration

Help Build the IchiZen EEG System

Developing research-grade neuroscience hardware requires significant resources. Your support helps cover PCB engineering, specialized components, 3D printing, and software development costs.

Show Your Support

All contributions directly fund hardware development and research advancement

Participate in Research

Join our study and contribute to advancing neural phenotyping research

Get In Touch

Interested in collaboration, research partnerships, or learning more about our work?

Contact Information

Location

Home-based laboratory, Tbilisi, Georgia

Collaboration

Open to partnerships with academic institutions, technology companies, and research organizations