A comprehensive cognitive enhancement platform featuring scientifically-designed exercises to improve various aspects of cognitive function.

Website

Enhances logical reasoning and cognitive flexibility through premise-based exercises.

Cognitive Benefits:

• Abstract reasoning
• Logical deduction
• Pattern recognition
• Cognitive flexibility
• Working memory

Exercise Modes:

• Temporal Relations (understanding before/after relationships)
• Distinction (same/different relationships)
• 2D Spatial Relations
• 3D Spatial Relations
• Syllogistic Reasoning
• Analogical Thinking

Improves visual-spatial attention and working memory through dynamic 3D object tracking.

Cognitive Benefits:

• Visual attention
• Spatial awareness
• Working memory
• Divided attention
• Processing speed
• Peripheral vision

Features:

• Adjustable number of targets
• Variable movement speed
• Collision physics
• Customizable tracking duration
• Performance tracking

Strengthens working memory through multi-modal stimulus matching.

Cognitive Benefits:

• Working memory
• Fluid intelligence
• Pattern recognition
• Multi-tasking ability
• Attention control

Features:

• 2D and 3D grid options
• Multiple stimulus types:
  • Position
  • Color
  • Audio
  • Shape
  • Number
• Adjustable difficulty (N-level)
• Performance metrics for each stimulus type

Will enhance visual processing speed and peripheral awareness.

Planned Benefits:

• Visual processing speed
• Divided attention
• Selective attention
• Peripheral vision
• Cognitive processing speed

• Frontend: React with Vite
• 3D Rendering: Three.js with React Three Fiber
• Physics: React Three Cannon
• Styling: Styled Components with modern CSS features
• Routing: React Router
• Animation: Framer Motion
• State Management: React Hooks

1. Clone the repository:

git clone https://github.com/XD1amond/Brain.git
cd Brain

2. Install dependencies:

npm install

3. Start the development server:

npm start

The application will be available at http://localhost:5173.

Each exercise in this platform is based on established cognitive training research:

• RRT: Based on relational frame theory and studies showing improved reasoning abilities through structured logical training.

• 3D MOT: Inspired by research with professional athletes showing enhanced visual-spatial awareness and decision-making speed.

• N-Back: Supported by studies demonstrating improvements in fluid intelligence and working memory capacity.

• UFOV: Based on research showing significant improvements in driving safety and everyday visual attention tasks.

Pull requests and feedback welcome!

• Soamsy for his work on Syllogimous
• Contributors and testers who helped improve the platform