Profile
Personnel File

ID: PSC-2024-001

Research Personnel Documentation

PAULINE SCHOMAKER

MSc Computational Cognitive Science

Aspiring BCI Researcher

Neural Data Analysis

Technical Proficiencies
MATLAB Python R EEG Neural Analysis BCI

Research Projects

Grasping Research
Thesis Research

Research internship @ g.tec

Ultra-high-density EEG grasping movement analysis

Maritime HUD
Interface Design

Maritime Navigation HUD

Interactive heads-up display for enhanced maritime safety

EEG Research
Neural Analysis

ERN Research

Error-related negativity patterns in cognitive processing

Liar's Dice
AI Development

Game AI System

Reinforcement learning for strategic decision-making

Project Log: Thesis Research REF: TR-2024-001
Location: g.tec
Duration: 6 months
System: g.Pangolin
Status: Published
  • Implementation of ultra-high-density EEG and EMG protocols
  • Neural activity mapping during grasping tasks
  • Data presented at g.tec BCI Springschool
  • Featured: Graz BCI Conference '24
Project Log: Maritime HUD REF: MH-2024-002
Type: Interface Design
Platform: Touch/Mouse
Testing: Simulator
Status: Completed
  • Interactive collision prevention system
  • Maritime expert consultation integration
  • Simulator-validated methodology
  • Field testing with industry partners
Project Log: EEG Analysis REF: EA-2024-003
Type: Neural Research
Role: Research Assistant
Focus: ERN Patterns
Status: Completed
  • First-hand EEG data collection experience
  • Error-response pattern analysis in decision-making
  • Multi-condition neural mapping
  • Extended research position
Project Log: AI Gaming REF: AI-2024-004
Platform: iOS
Language: Swift + ACT-R
Method: RL
Status: Completed
  • Reinforcement learning implementation
  • Bluffing behavior modeling
  • iOS-optimized development
  • Competitive AI system creation
// COMPUTATIONAL COGNITIVE SCIENCE — BCI RESEARCH — EEG + EMG ANALYSIS — MACHINE LEARNING — GRAZ BCI CONFERENCE '24 — ARTIFICIAL INTELLIGENCE — SIGNAL PROCESSING // COMPUTATIONAL COGNITIVE SCIENCE — BCI RESEARCH — EEG + EMG ANALYSIS — MACHINE LEARNING — GRAZ BCI CONFERENCE '24 — ARTIFICIAL INTELLIGENCE — SIGNAL PROCESSING