Quantum-like modeling applies the math of quantum theory to thinking and decision-making, without linking them to quantum processes in neurons. This research bridges the gap between neural network oscillations and quantum-like behavior using generalized probability theory and a classical probabilistic statistical field theory (PCSFT). The highlight is a model of mental entanglement: how classical networks create states similar to quantum entanglement, via algebras of observables and tensor products. Think of musicians in an orchestra syncing up without eye contact, feeling a shared 'field.' This paves the way for detecting mental entanglement with EEG/MEG methods.
The brain generates quantum-like states without a single quantum particle. As electrical waves of nerve cells synchronize, they give rise to a mathematical analog of entanglement. Like an orchestra where cellos and flutes, playing separately, suddenly start carrying a single melody, distant brain regions link into a unified network—a veritable galaxy of thought.
This model can be tested: brain spectroscopy (EEG) already picks up traces of quantum-like states. This moves theories of consciousness from philosophical debate into experimental science.
Entropy—a measure of uncertainty—bridges physics and psychology, explaining how sudden insights are born.
🎯 EEG records brain rhythms reminiscent of the twinkling of galaxies. Astrophysicists have long used spectroscopy; now neuroscientists will arm themselves with it to see the quantum effects of thought.