Reverse Inference
Reverse Inference - Related Videos
10:08
Categories and Inductive Inferences
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2023
Source: Laboratories of Nicholaus Noles and Judith Danovitch—University of Louisville It might be possible for the human brain to keep track of each individual person, place, or thing encountered, but that would be a very inefficient use of time and cognitive resources. Instead, humans develop categories. Categories are mental representations of real things that can be used for a variety of purposes. For example, individuals can use the perceptual features of animals to place them into a given...
01:15
Theory of Attribution I: Correspondent Inference Theory
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2025
Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...
10:10
Reverse Total Shoulder Arthroplasty
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Cited by 6 •
2011
Reverse total shoulder arthroplasty is indicated for the treatment of conditions that cannot be treated with conventional arthroplasty or other procedures. These primarily include degenerative and incapacitating conditions with irreparable rotator cuff and loss of the normal biomechanical coupling of the shoulder.
09:39
Creation of Reversible Cholestatic Rat Model
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2011
Cholestasis is a clinical condition commonly encountered by both surgeons and gastroenterologists. Creation of a reversible cholestatic rat model can be challenging in view of the smaller size and unique hepatopancreatobiliary anatomy in rats. This video article demonstrates the creation of a reversible cholestatic model.
10:44
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Cited by 3 •
2021
The Inherent Dynamics Visualizer is an interactive visualization package that connects to a gene regulatory network inference tool for enhanced, streamlined generation of functional network models. The visualizer can be used to make more informed decisions for parameterizing the inference tool, thus increasing confidence in the resulting models.
FAQs
Regional selectivity indicates how strongly a brain area is associated with one psychological process relative to others. Prior probabilities reflect how plausible a proposed mental state is before considering the observed activation. When a region is relatively selective and the proposed process is already plausible, the inference becomes more informative; weak selectivity or unlikely interpretations makes activation less conclusive.
Most neural areas participate in multiple processes rather than representing one mental state exclusively. The same activation may therefore be consistent with different psychological explanations. Reverse inference becomes especially uncertain when researchers treat a region as uniquely meaningful, because activation establishes neural involvement without, by itself, identifying which supported process produced the observed pattern.
Task conditions help constrain which psychological explanation best fits an observed activation. They provide context for evaluating whether a proposed mental process is relevant to the participant's activity and experimental demands. However, task context does not eliminate ambiguity, so interpretations still require attention to regional selectivity and evidence from behavioral, anatomical, or other experimental measures.
Researchers can begin by identifying an activated region or network, then examine its known functional selectivity, the task conditions, and the prior plausibility of candidate mental states. They should treat the resulting interpretation as a hypothesis rather than proof and seek converging behavioral, anatomical, and experimental evidence before drawing stronger conclusions about cognition.
The approach is useful when researchers need to connect observed brain activity with possible psychological functions and generate testable hypotheses about cognition. It can organize interpretation of neuroimaging findings, especially when combined with task information and knowledge of regional or network selectivity. Its value lies in guiding investigation while preserving clear limits on what activation alone establishes.
In neuroscience, reverse inference highlights that a relationship between activation and a psychological function is rarely one-to-one. Because neural regions can support multiple processes, researchers must distinguish evidence for neural involvement from proof of a particular mental state. This distinction encourages interpretations that integrate behavioral, anatomical, and experimental findings rather than relying on localization alone.