🔻 Long-Term Depression (LTD)

The brain processes information through networks of neurons that fire in coordinated patterns. This simulation explores neural computation and emergent behavior.

About This Simulation

Implement a desert ant navigation model with path integration and landmark learning.

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