Neuro-Temporal Gravity Theory
This study proposes a revolutionary framework where neurological signal propagation is modeled as a relativistic gravitational system, bridging consciousness theories with spacetime mechanics.
Abstract
By applying tensor calculus to dendritic signal transmission patterns, we demonstrate that cognitive processing in complex neural networks obey modified versions of general relativity's field equations. The model successfully predicts memory formation delays and perceptual anomalies under extreme temporal curvature conditions.
Methodology
This research employs four fundamental approaches:
- Neurological signal mapping using 4D tensor analysis
- Gravitational analog modeling of synaptic connection strength
- Quantum temporal curvature measurement through fMRI data
- Synthetic consciousness simulation with relativistic boundary conditions
Fundamental Equations
Gₘₙ = -8πTₘₙ
μν = axonᵢ ⊗ signalⱼ
Rᵢⱼᵏˡ = Σₙ=₁⁸ ∞ (dendritic_potentialₙ · curvatureₙ)
Key Discoveries
-
Temporal Warping
Observed 0.0037% time dilation in hippocampal processing under high-stress conditions, matching theoretical predictions (σ = ±0.0004)
-
Signal Entanglement
Demonstrated strong correlation (r²=0.981) between serotonin levels and spacetime curvature in prefrontal cortex regions
Practical Implications
Medical Applications
- • Alzheimer's time-decay prediction models
- • Parkinsonian temporal curvature stabilizers
- • Consciousness preservation protocols
Technological Breakthroughs
- • Temporal signal processors for neural interfaces
- • Anomaly detection in deep learning systems
- • Temporal consistency verification for AI ethics