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Journal of the Experimental Analysis of Behavior
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Single‐case experimental designs for behavioral neuroscience

Authors: Paul L. Soto;

Single‐case experimental designs for behavioral neuroscience

Abstract

Single‐case experimental designs (SCEDs) are commonly used in behavior analytic research but rarely used in behavioral neuroscience research. The recent development of technologies that allow control of the timing of neurobiological events such as gene expression and neuronal firing enable the fruitful application of SCEDs for the study of brain–behavior relations. There are at least 3 benefits expected from applying SCEDs to study how neurobiological events affect behavior. First, SCEDs entail direct within‐ and across‐subject assessments of reliability, likely increasing the probability of replication across studies and encouraging a search for the causes of replication failure when they occur. Second, SCEDs focus on behavior in individual organisms producing a body of knowledge that applies to individuals rather than population parameters. Finally, SCEDs require fewer animals, decreasing costs and effort and addressing the ethical obligation to reduce the number of animals used for research. Examples are provided using hypothetical data generated based on published research. Collaborations between behavior analysts and behavioral neuroscientists will bring the world within the skin under direct experimental control and broaden our understanding of the determinants of behavior.

Related Organizations
Keywords

Cross-Over Studies, Behavior, Animal, Gene Transfer Techniques, Neurosciences, Gene Expression, Reproducibility of Results, Single-Case Studies as Topic, Optogenetics, Animals, Humans, Genetic Engineering, Behavioral Research

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    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Top 10%
bronze