Realistic Brain (HH)

Hodgkin-Huxley Model
70+ neurons with real ion channels, neurotransmitters, and Nobel Prize equations

👁️ 👂 Sensory Input

💡 Real-world sensory data feeds into brain!
• Webcam → Occipital Lobe (Vision)
• Microphone → Temporal Lobe (Hearing)

Brain Regions

Network Parameters

⚠️ Higher values may slow performance
Total: 72 neurons (max ~10,000)
Probability of synaptic connection

🧠 Synaptic Plasticity (Learning)

Learning Statistics:
Avg Weight: 1.00
LTP Events: 0
LTD Events: 0
💡 Hebbian Learning: "Neurons that fire together, wire together"
Green = Strong, Yellow = Medium, Red = Weak

💭 Working Memory (Short-Term)

Memory Buffer (Miller's 7±2):
Capacity: 7 items
Current: 0 / 7
Load: 0%
Encoded: 0
Forgotten: 0
Recalled: 0
🎨 Memory Reconstruction
Visual memories appear here when recalled
💡 Working memory holds recent patterns temporarily
• Capacity: 7±2 items (Miller's Law)
• Decay: ~10s without rehearsal
• Rehearsal: Prevents forgetting
• Visual memories can be reconstructed! 🎨

🔍 Pattern Recognition (AI)

Pattern Detection:
Patterns Learned: 0
Total Recognitions: 0
Predictions Made: 0
Prediction Accuracy: 0%
Top Patterns:
No patterns learned yet
💡 Pattern Recognition detects repeated sequences
• Learns: Frontal → Parietal → Temporal
• Predicts: Next likely activation
• Accuracy: Improves with repetition

🎯 Motor Output (Actions)

Action Generation:
Total Actions: 0
Action Counts:
Plan: 0
Move: 0
Reach: 0
Speak: 0
Look: 0
Reflex: 0
💡 Motor output generates actions from brain activity
• Frontal → Planning
• Cerebellum → Movement
• Parietal → Reaching

🌊 Brain Oscillations

Power Spectrum:
Delta (0.5-4Hz): 0%
Theta (4-8Hz): 0%
Alpha (8-13Hz): 0%
Beta (13-30Hz): 0%
Gamma (30-100Hz): 0%
💡 Oscillations create rhythmic brain activity
• Frontal: Beta (thinking)
• Temporal: Theta (memory)
• Occipital: Alpha (vision)

💊 Neurotransmitters

Current Levels:
🟢 Glutamate: 100%
🔴 GABA: 100%
💜 Dopamine: 100%
💙 Serotonin: 100%
🟠 Norepinephrine: 100%
🟡 Acetylcholine: 100%
💡 Neurotransmitters modulate brain chemistry
• Dopamine: Reward & learning
• Serotonin: Mood stability
• Acetylcholine: Attention & memory

🎯 Attention System

Attention Status:
Focused On: None
Total Shifts: 0
Avg Duration: 0ms
💡 Attention selectively amplifies brain regions
• Bottom-up: Salient stimuli grab focus
• Top-down: Goals direct attention
• Focused regions: 1.5x amplified

🧠 Reinforcement Learning

Learning Stats:
States Learned: 0
Rewards: 0
Punishments: 0
TD Error: 0.000
Avg Value: 0.00
Recent Reward: 0.00
💡 RL learns optimal brain activity patterns
• Rewards: Multi-region coordination
• TD Error → Dopamine release
• Goal: Maximize network value
Simple Brain Single HH Neuron Simple Neuron

Network Statistics

Total Neurons: 0
Active Neurons: 0
Synapses: 0
Avg Voltage: -65.0 mV
Excitatory: 0
Inhibitory: 0
Most Active: -
Legend:
🟢 Green border = Excitatory (Glutamate)
🔴 Red border = Inhibitory (GABA)
🟡 Yellow glow = Depolarized
🔵 Blue glow = Hyperpolarized

Realistic Brain

This brain network uses the Hodgkin-Huxley model for all 70+ neurons. Each neuron has real ion channels (Na⁺, K⁺), neurotransmitter receptors (AMPA, GABA), and follows Nobel Prize-winning equations. Green borders show excitatory neurons, red show inhibitory neurons.