Quantum-like model of behavioral response computation using neural oscillators

TL;DR

This paper introduces a neural oscillator model that explains quantum-like behavioral effects in the brain through neural interference, aligning with neurophysiological data and stimulus-response theory.

Contribution

It presents a novel neural oscillator framework that reproduces quantum-like effects via interference, integrating neurophysiological plausibility with behavioral modeling.

Findings

Model reproduces behavioral stimulus-response predictions

Neural interference explains quantum-like effects in cognition

Inhibitory and excitatory synapses mediate interference patterns

Abstract

In this paper we propose the use of neural interference as the origin of quantum-like effects in the brain. We do so by using a neural oscillator model consistent with neurophysiological data. The model used was shown to reproduce well the predictions of behavioral stimulus-response theory. The quantum-like effects are obtained by the spreading activation of incompatible oscillators, leading to an interference-like effect mediated by inhibitory and excitatory synapses.