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A Comprehensive, Affordable, Open-Source Hardware-Software Solution for Flexible Implementation of Complex Behaviors in Head-Fixed Mice

Experiments that take advantage of head-fixed behavioral tasks have been a staple of systems neuroscience research for half a century. More recently, rodents came to the forefront of these efforts, primarily because of the rich experimental possibilities afforded by modern genetic tools. There is, h...

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Detalles Bibliográficos
Autores principales: Ozgur, Ali, Park, Soo Bin, Flores, Abigail Yap, Oijala, Mikko, Lur, Gyorgy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306125/
https://www.ncbi.nlm.nih.gov/pubmed/37286343
http://dx.doi.org/10.1523/ENEURO.0018-23.2023
Descripción
Sumario:Experiments that take advantage of head-fixed behavioral tasks have been a staple of systems neuroscience research for half a century. More recently, rodents came to the forefront of these efforts, primarily because of the rich experimental possibilities afforded by modern genetic tools. There is, however, a considerable barrier to entering this field, requiring expertise in engineering, hardware and software development, and significant time and financial commitment. Here, we present a comprehensive, open-source hardware and software solution to implement a head-fixed environment for rodent behaviors (HERBs). Our solution provides access to three frequently used experimental frameworks (two-alternative forced choice, Go-NoGo, or passive sensory stimulus presentation) in a single package. The required hardware can be built at a relatively low cost compared with commercially available solutions, from off-the-shelf components. Our graphical user interface-based software provides great experimental flexibility and requires no programming experience for either installation or use. Furthermore, an HERBs takes advantage of motorized components that allow the precise, temporal separation of behavioral phases (stimulus presentation, delays, response window and reward). Overall, we present a solution that will allow laboratories to join the growing community of systems neuroscience research at a substantially lower cost of entry.