Advancing social behavioral neuroscience by integrating ethology and comparative psychology methods through machine learning

Bordes, Joeri, Miranda, Lucas, Mueller-Myhsok, Bertram ORCID: 0000-0002-0719-101X and Schmidt, Mathias V (2023) Advancing social behavioral neuroscience by integrating ethology and comparative psychology methods through machine learning. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, 151. 105243-.

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Abstract

Social behavior is naturally occurring in vertebrate species, which holds a strong evolutionary component and is crucial for the normal development and survival of individuals throughout life. Behavioral neuroscience has seen different influential methods for social behavioral phenotyping. The ethological research approach has extensively investigated social behavior in natural habitats, while the comparative psychology approach was developed utilizing standardized and univariate social behavioral tests. The development of advanced and precise tracking tools, together with post-tracking analysis packages, has recently enabled a novel behavioral phenotyping method, that includes the strengths of both approaches. The implementation of such methods will be beneficial for fundamental social behavioral research but will also enable an increased understanding of the influences of many different factors that can influence social behavior, such as stress exposure. Furthermore, future research will increase the number of data modalities, such as sensory, physiological, and neuronal activity data, and will thereby significantly enhance our understanding of the biological basis of social behavior and guide intervention strategies for behavioral abnormalities in psychiatric disorders.

Item Type:	Article
Uncontrolled Keywords:	Comparative psychology, Ethology, Psychiatric disorders, Social behavior, Stress
Divisions:	Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Population Health
Depositing User:	Symplectic Admin
Date Deposited:	26 Sep 2023 08:56
Last Modified:	26 Sep 2023 08:56
DOI:	10.1016/j.neubiorev.2023.105243
Open Access URL:	https://doi.org/10.1016/j.neubiorev.2023.105243
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3173041