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Reproducibility and relevance of future behavioral sciences should benefit from a cross fertilization of past recommendations and today's technology: 'Back to the future'
- Source :
- Journal of Neuroscience Methods, 234, 2. Elsevier
- Publication Year :
- 2013
-
Abstract
- Thanks to the discovery of novel technologies and sophisticated analysis tools we can now ‘see’ molecules, genes and even patterns of gene expression, which have resulted in major advances in many areas of biology. Recently, similar technologies have been developed for behavioral studies. However, the wide implementation of such technological progress in behavioral research remains behind, as if there are inhibiting factors for accepting and adopting available innovations. The methods of the majority of studies measuring and interpreting behavior of laboratory animals seem to have frozen in time somewhere in the last century. As an example of the so-called classical tests, we will present the history and shortcomings of one of the most frequently used tests, the open field. Similar objections and critical remarks, however, can be made with regard to the elevated plus maze, light-dark box, various other mazes, object recognition tests, etc. Possible solutions and recommendations on how progress in behavioral neuroscience can be achieved and accelerated will be discussed in the second part of this review.
- Subjects :
- Time Factors
Computer science
Behavioural sciences
Behavioral neuroscience
Ethology
Open field
Validity
Automation
Behavioral study
Relevance (law)
Animals
Behavior, Animal
Technological change
business.industry
General Neuroscience
Reproducibility of Results
Data science
Cross fertilization
Research Design
Artificial intelligence
Analysis tools
business
Home-cage testing
Animal behavior
Behavioral Research
Subjects
Details
- ISSN :
- 1872678X and 01650270
- Volume :
- 234
- Database :
- OpenAIRE
- Journal :
- Journal of neuroscience methods
- Accession number :
- edsair.doi.dedup.....8e5281166337f4cdb3ea18fe418e3ed6