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

Reason and Intuition01:37

Reason and Intuition

5.9K
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...
5.9K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.4K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.4K
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.8K
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

852
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
852
Random Variables01:09

Random Variables

14.7K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
14.7K
Decision Making01:20

Decision Making

1.2K
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Neural scaling laws for an uncertain world.

Psychological review·2017
Same author

Neural Mechanism to Simulate a Scale-Invariant Future.

Neural computation·2016
Same author

A distributed representation of internal time.

Psychological review·2014
Same author

A unified mathematical framework for coding time, space, and sequences in the hippocampal region.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2014
Same author

Ensembles of human MTL neurons "jump back in time" in response to a repeated stimulus.

Hippocampus·2012
Same author

A scale-invariant internal representation of time.

Neural computation·2011
Same journal

Limits to Language Prediction: Findings From Diverse Populations.

Topics in cognitive science·2026
Same journal

There Is More Than Meets the Eye: The Dual Role of Perception in Shaping Color Lexicons.

Topics in cognitive science·2026
Same journal

Inference and Imagination.

Topics in cognitive science·2026
Same journal

Gesture Use Across Different Concepts: Focusing on Cross-Linguistic Diversity.

Topics in cognitive science·2026
Same journal

Exploring Amazonian Cognitive Diversity at Chana Research Station.

Topics in cognitive science·2026
Same journal

Do (We Think That) Plants Have Agency?

Topics in cognitive science·2026
See all related articles

Related Experiment Video

Updated: May 3, 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

1.3K

Quantum random walks and decision making.

Karthik H Shankar1

  • 1Center for Memory & Brain, Boston University.

Topics in Cognitive Science
|February 1, 2014
PubMed
Summary
This summary is machine-generated.

Quantum random walk models offer a realistic approach to understanding two-choice decisions, outperforming classical models by considering neural plausibility and initial states.

Keywords:
Decision makingQuantum random walks

More Related Videos

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
07:42

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

Published on: August 2, 2018

14.2K

Related Experiment Videos

Last Updated: May 3, 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

1.3K
An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
07:42

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

Published on: August 2, 2018

14.2K

Area of Science:

  • Neuroscience
  • Quantum Physics
  • Decision Making Models

Background:

  • Classical random walk models are widely used for decision-making research.
  • These models often simplify the complex neural processes involved in choice behavior.

Purpose of the Study:

  • To evaluate the feasibility of quantum random walk models for two-choice decision tasks.
  • To investigate the influence of initial conditions and decision boundaries on quantum walk models.
  • To compare quantum random walk models with classical counterparts in decision-making.

Main Methods:

  • Theoretical analysis of quantum random walk dynamics.
  • Simulation of decision-making scenarios using both quantum and classical random walk models.
  • Examination of model parameters such as initial state and boundary thresholds.

Main Results:

  • Quantum random walk models demonstrate potential for explaining decision-making, particularly concerning neural plausibility.
  • Initial state and boundary thresholds significantly impact the behavior of quantum random walk models.
  • Contrasting quantum and classical models reveals distinct dynamics and explanatory power.

Conclusions:

  • Quantum random walk models present a more nuanced and potentially more accurate framework for understanding two-choice decisions than classical models.
  • Further research is warranted to explore the neural underpinnings and applications of quantum decision-making models.