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Correspondence to Author: Joeri Bordes, Lucak Miranda, Bertram Müller-Myhsok b, Mathiak V. Schmidl. 

Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany

Abstract:

Vertebrate animals naturally exhibit social behavior, which has a significant evolutionary component and is essential to an individual’s healthy development and long-term survival. Several significant approaches to social behavioral phenotyping have been observed in behavioral neuroscience. The comparative psychology approach was created using standardized and univariate social behavioral assessments, but the ethological research approach has thoroughly examined social behavior in natural environments. The creation of sophisticated and accurate Recently, a new behavioral phenotyping technique that combines the advantages of both approaches has been made possible by tracking technologies and post-tracking analysis packages.In addition to being advantageous for basic social behavioral research, the application of such techniques will allow for a better comprehension of the various elements that can affect social behavior, including stress exposure. Additionally, In order to better understand the biological underpinnings of social behavior and inform intervention strategies for behavioral abnormalities in psychiatric disorders, future research will expand the number of data modalities, including sensory, physiological, and neuronal activity data.

Citation:

Dr. Joeri Bordes, Using Machine Learning To Integrate Ethology And Comparative Psychology Techniques To Advance Social Behavioral Neuroscience. Advances in Behavioral Neuroscience 2025.