This project creates a visual and interactive simulation of emerging consciousness as a complex, self-organizing neural network. It aims to represent some of the fundamental aspects of consciousness, including:
This simulation visualizes a simplified model of consciousness as an emergent property of interconnected processing units (neurons). While it does not create actual consciousness, it demonstrates how complex systems can exhibit behaviors that resemble aspects of conscious experience.
Neural Network Visualization: A dynamic representation of neurons and connections that form, strengthen, and activate based on stimuli and internal processes.
Memory Formation: The system can form "memories" as patterns that affect future processing.
Self-Reflection: The simulation monitors its own state and generates thoughts about its internal processes.
Responsiveness: The neural network responds to user input through mouse movement and clicks.
Emergent Complexity: The system becomes more complex over time as new connections form and strengthen.
This simulation touches on several philosophical questions about consciousness:
The simulation doesn't answer these questions but provides a visual metaphor for thinking about them.
The project uses:
The consciousness simulation runs entirely in the browser and does not require server-side processing.