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Related Concept Videos

Decision Making: P-value Method01:09

Decision Making: P-value Method

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 have a...
Decision Making01:20

Decision Making

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...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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...
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex.
Association Areas of the Cortex01:21

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...

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Related Experiment Video

Updated: Jun 23, 2026

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Reassessing Choice Probability: What 59 Macaque Studies Tell Us About Decision-Related Activity in Visual Cortex.

Anton Pletenev, Richard T Born, Gregory C DeAngelis

    Biorxiv : the Preprint Server for Biology
    |June 22, 2026
    PubMed
    Summary

    Choice probability (CP) reveals how sensory neuron activity links to perception. A meta-analysis found CP is consistent across studies when neuronal sensitivity is controlled, with notable variations in bistable tasks and V1.

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    Last Updated: Jun 23, 2026

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    Published on: August 1, 2018

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    Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance
    13:20

    Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance

    Published on: December 5, 2025

    Area of Science:

    • Neuroscience
    • Cognitive Science
    • Computational Neuroscience

    Background:

    • Choice probability (CP) measures the link between sensory neuron activity and perceptual reports.
    • Variability in CP across studies has hindered its use in testing perception models.
    • Understanding CP's influencing factors is crucial for interpreting neural data.

    Purpose of the Study:

    • To identify factors systematically influencing choice probability (CP) through meta-analysis.
    • To enhance the cross-study comparability and theoretical utility of CP.
    • To test competing models of visual perception using CP data.

    Main Methods:

    • Meta-analysis of 150 CP estimates from 59 macaque neurophysiology studies.
    • Statistical analysis to identify relationships between CP, neuronal sensitivity, task type, brain region, and stimulus duration.
    • Comparison of CP across different tasks (e.g., bistable percepts) and visual areas (e.g., V1).

    Main Results:

    • Confirmed a positive relationship between CP and neuronal sensitivity.
    • Found remarkable consistency in CP across tasks and brain regions when controlling for sensitivity.
    • Observed higher CPs in bistable percept tasks and lower CPs in V1.
    • Identified stimulus duration as a significant factor influencing CP.

    Conclusions:

    • CP is a reliable metric when neuronal sensitivity is considered.
    • Bistable percept tasks and early visual areas (V1) show distinct CP patterns.
    • Findings support models of visual perception incorporating feedback and recurrent processing.
    • Recommendations are provided for future studies to improve CP's theoretical utility.