The brain processes information through networks of neurons that fire in coordinated patterns. This simulation explores neural computation and emergent behavior.
About This Simulation
Build an appetite regulation model with homeostatic and hedonic components.
Key Concepts
- Neural Networks: Interconnected neurons that process information through synaptic connections, forming the basis of learning and memory.
- Hebbian Learning: "Neurons that fire together, wire together" - synaptic connections strengthen when pre and post-synaptic neurons are active simultaneously.
- Emergent Behavior: Complex behaviors arising from simple rules followed by many interacting agents or neurons.
- Oscillations & Rhythms: Coordinated neural activity patterns that underlie various brain states and cognitive functions.
Why It Matters
Neural modeling advances AI, brain-computer interfaces, and treatments for neurological disorders.
How to Explore
- Adjust the sliders to modify simulation parameters and observe how the system responds
- Look for emergent patterns that arise from agent interactions
- Try extreme parameter values to find phase transitions and tipping points
- Compare the simulation behavior to real-world phenomena
Category: Neuroscience & Behavior — Exploring neural systems and behavioral patterns