Predictive Coding Simulator Predictive Mode

Univ. of Sydney Model • Sensory Survival Mode
Status:
Live Neural Telemetry Real-time FFT & Energy Allocation
Prediction Error Spike
0.08
Sensory Vividness / Gain
1.00x
Top-Down Energy Ratio
85%
Bottom-Up Energy Ratio
15%
Metabolic Energy Distribution
Top-Down Expectation 85%
Bottom-Up Sensory 15%
Prediction Error Wave 8%
Model Parameters
0.85
0.15
0.35
University of Sydney Model
Under standard conditions, top-down predictions suppress expected sensory signals to conserve metabolic energy. When an unexpected stimulus breaches the threshold, prediction error triggers an instantaneous reallocation of metabolic energy to sensory channels, increasing pixel resolution, sharpness, and signal contrast.
Super generates helpful tools and automates fact-checking across the internet proactively. If you enjoyed this tool, build your own with Super and share it with a friend.