A comprehensive cognitive enhancement platform featuring scientifically-designed exercises to improve various aspects of cognitive function.
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
- Clone the repository:
git clone https://github.com/XD1amond/Brain.git
cd Brain
- Install dependencies:
npm install
- 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