Abstract

Abstract Summary

Overview

Data gathered from eight different numerosity estimation experiments have consistently shown wave-like patterns. These observations are plotted to depict the variation in standard deviations of response times against the magnitude of error in estimation tasks.

Findings

• The patterns observed resemble characteristics of quantum particles, specifically in their energy and position dynamics.
• A theoretical model is proposed that creates an analogy between the neural network behaviors and quantum systems. This model leverages mathematical frameworks common to both Hopfield-type neural networks and quantum mechanics.
• Alternative Interpretations: Conventional science explains these patterns through neural oscillations, suggesting mechanisms that translate these oscillations into spatial parameter oscillations.

Conclusion

The study posits that microscale quantum phenomena could potentially influence macroscale human behaviors, as seen in magnetoreception in birds—a process believed to be governed by quantum mechanics. This connection underscores the potential overarching impact of quantum processes on biological systems.