Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra. Schrödinger...
Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
Calculation of First-Law Quantities II01:24

Calculation of First-Law Quantities II

The first law of thermodynamics establishes that the change in internal energy of a system is given by ΔU = q + w, where q is the heat exchanged, and w is the work performed. For a perfect gas, both internal energy (U) and enthalpy (H) depend solely on temperature. Consequently, for any change of state, whether reversible or irreversible, the internal energy change is determined by integrating the heat capacity at constant volume, and the enthalpy change by integrating the heat capacity at...
Modeling and Similitude01:12

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Kappa opioid receptors mediate aversion-and it matters.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology·2026
Same author

Epigenome-wide association study of psilocybin-induced methylome changes in alcohol use disorder.

Translational psychiatry·2026
Same author

Investigating Factors Associated With Spontaneous Remission in Individuals With Alcohol Use Disorder-Results From a Multi-Site Longitudinal Cohort Study.

Addiction biology·2026
Same author

Oxa-noribogaine reduces alcohol drinking through aversion learning and by altering glutamatergic activity in the mPFC.

Research square·2026
Same author

Psilocin fosters neuroplasticity in iPSC-derived human cortical neurons.

eLife·2026
Same author

Engaging Gut-to-Brain Signalling to Treat Alcohol Use Disorder.

Addiction biology·2026

Related Experiment Video

Updated: May 11, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Quantum modeling of common sense.

Hamid R Noori1, Rainer Spanagel

  • 1Institute of Psychopharmacology, Central Institute for Mental Health, Medical Faculty Mannheim, University of Heidelberg, J 5, 68159 Mannheim, Germany. hamid.noori@zi-mannheim.de

The Behavioral and Brain Sciences
|May 16, 2013
PubMed
Summary

Cognition may not be a probabilistic process, despite quantum theory

Area of Science:

  • Cognitive Science
  • Neuroscience
  • Quantum Physics

Background:

  • Quantum theory offers a framework for probabilistic cognitive modeling.
  • Human judgment and decision-making show context- and order-dependent patterns.
  • These patterns exceed the capabilities of classical Bayesian probability theories.

Purpose of the Study:

  • To investigate whether cognition is fundamentally a probabilistic process.
  • To reconcile observed cognitive behaviors with underlying neurobiological mechanisms.

Main Methods:

  • Review of empirical evidence on human judgment and decision-making.
  • Theoretical analysis integrating quantum probability with neurobiology.
  • Comparison of quantum and classical probabilistic models of cognition.

Related Experiment Videos

Last Updated: May 11, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Main Results:

  • Empirical data on cognitive processes exhibit characteristics not explained by classical probability.
  • Quantum probability frameworks provide a potential explanation for these context- and order-dependent effects.
  • The fundamental probabilistic nature of cognition remains an open question.

Conclusions:

  • Cognitive processes exhibit non-classical probabilistic features.
  • Quantum theory offers a promising avenue for modeling these complex behaviors.
  • Further research is needed to determine if cognition is inherently probabilistic.