Status: Top-down prediction channel actively suppresses baseline visual noise. System in steady metabolic balance.
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.