{"title":"The barn owl in systems and behavioral neuroscience: Progress and promise","authors":"Lilian Zhang , Shreesh P. Mysore","doi":"10.1016/j.conb.2025.102983","DOIUrl":null,"url":null,"abstract":"<div><div>Though well-adapted to their evolutionary niches, animals exhibit a repertoire of behavioral functions that are common across species. Neuroscientific research that promotes the study of similar functions in multiple species, can illuminate shared versus specialized design features of the nervous system, revealing potentially profound insights into the neural basis of behavior and cognition. Here, we advance the idea that the barn owl is an excellent animal model in which to investigate such common functions. We do so by drawing attention to the range of exciting questions that can be asked in the owl beyond those deriving from its evolutionary specializations, by underscoring the variety of complex yet experimentally tractable behaviors it exhibits naturally, by emphasizing its complex network of brain systems, and by highlighting emerging opportunities for the application of modern neural technologies. Our goal is to motivate broader adoption of the powerful barn owl model for behavioral and systems neuroscience.</div></div>","PeriodicalId":10999,"journal":{"name":"Current Opinion in Neurobiology","volume":"91 ","pages":"Article 102983"},"PeriodicalIF":4.8000,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Neurobiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959438825000145","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Though well-adapted to their evolutionary niches, animals exhibit a repertoire of behavioral functions that are common across species. Neuroscientific research that promotes the study of similar functions in multiple species, can illuminate shared versus specialized design features of the nervous system, revealing potentially profound insights into the neural basis of behavior and cognition. Here, we advance the idea that the barn owl is an excellent animal model in which to investigate such common functions. We do so by drawing attention to the range of exciting questions that can be asked in the owl beyond those deriving from its evolutionary specializations, by underscoring the variety of complex yet experimentally tractable behaviors it exhibits naturally, by emphasizing its complex network of brain systems, and by highlighting emerging opportunities for the application of modern neural technologies. Our goal is to motivate broader adoption of the powerful barn owl model for behavioral and systems neuroscience.
期刊介绍:
Current Opinion in Neurobiology publishes short annotated reviews by leading experts on recent developments in the field of neurobiology. These experts write short reviews describing recent discoveries in this field (in the past 2-5 years), as well as highlighting select individual papers of particular significance.
The journal is thus an important resource allowing researchers and educators to quickly gain an overview and rich understanding of complex and current issues in the field of Neurobiology. The journal takes a unique and valuable approach in focusing each special issue around a topic of scientific and/or societal interest, and then bringing together leading international experts studying that topic, embracing diverse methodologies and perspectives.
Journal Content: The journal consists of 6 issues per year, covering 8 recurring topics every other year in the following categories:
-Neurobiology of Disease-
Neurobiology of Behavior-
Cellular Neuroscience-
Systems Neuroscience-
Developmental Neuroscience-
Neurobiology of Learning and Plasticity-
Molecular Neuroscience-
Computational Neuroscience