Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

The Quantum-Mechanical Model of an Atom

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...

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

Pharmacodynamic models are essential tools in understanding the relationship between drug concentrations and their effects on biological systems. By characterizing the dynamics of drug action, these models guide dose selection, optimize therapeutic efficacy, and inform the development of new drugs. Two major classes of pharmacodynamic models include direct effect and indirect response models.Direct Effect ModelsDirect effect models describe the immediate relationship between drug concentration...

The Role of Ion Channels in Neuronal Computation

The Role of Ion Channels in Neuronal Computation

A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential.

Propagation of Action Potentials

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...

Oscillations about an Equilibrium Position

Oscillations about an Equilibrium Position

Stability is an important concept in oscillation. If an equilibrium point is stable, a slight disturbance of an object that is initially at the stable equilibrium point will cause the object to oscillate around that point. For an unstable equilibrium point, if the object is disturbed slightly, it will not return to the equilibrium point. There are three conditions for equilibrium points—stable, unstable, and half-stable. A half-stable equilibrium point is also unstable, but is named so because...

Neural Circuits

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...

You might also read

Related Articles

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

Sort by

Same author

The Concept of Symmetry and the Theory of Perception.

Frontiers in computational neuroscience·2021

Same author

Indistinguishability and Negative Probabilities.

Entropy (Basel, Switzerland)·2020

Same author

Indistinguishability and the origins of contextuality in physics.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2019

Same author

The surface Laplacian technique in EEG: Theory and methods.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology·2015

Same author

The joint use of the tangential electric field and surface Laplacian in EEG classification.

Brain topography·2013

Search research articles

Related Experiment Video

Updated: May 17, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

Quantum-like model of behavioral response computation using neural oscillators.

J Acacio de Barros¹

¹Liberal Studies Program, San Francisco State University, San Francisco, CA 94132, USA. barros@sfsu.edu

|November 7, 2012

Summary

Neural interference explains quantum-like brain effects. Spreading activation in incompatible neural oscillators, via synapses, creates these effects, aligning with behavioral theories.

More Related Videos

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Published on: June 5, 2017

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

Related Experiment Videos

Last Updated: May 17, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Published on: June 5, 2017

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

Area of Science:

Neuroscience
Computational Neuroscience
Quantum Cognition

Background:

The brain exhibits complex behaviors that are not fully explained by classical models.
Quantum mechanics principles are increasingly being explored to understand cognitive phenomena.
Neural oscillator models are valuable for simulating brain activity.

Purpose of the Study:

To propose neural interference as a mechanism for quantum-like effects in the brain.
To utilize a neurophysiologically consistent neural oscillator model.
To link these effects to established behavioral theories.

Main Methods:

Developed a neural oscillator model.
Ensured model consistency with neurophysiological data.
Demonstrated model's ability to reproduce behavioral stimulus-response theory predictions.
Simulated spreading activation of incompatible oscillators.

Main Results:

Neural interference was identified as the source of quantum-like effects.
The model successfully reproduced quantum-like phenomena through oscillator interactions.
Inhibitory and excitatory synapses were shown to mediate the interference effect.

Conclusions:

Neural interference provides a plausible explanation for quantum-like brain effects.
The proposed model offers a framework for further investigation into the neural basis of cognition.
This approach bridges computational neuroscience and quantum cognition research.