{ "labelLang" : "hun", "responseDate" : "2024-03-29 08:24", "content" : { "otype" : "JournalArticle", "mtid" : 31852761, "status" : "APPROVED", "published" : true, "comment" : "Lendület Laboratory of Systems Neuroscience, Institute of Experimental Medicine, Budapest, Hungary \n Sanworks LLC, Rochester, NY, United States \n Export Date: 24 March 2021 \n Correspondence Address: Balázsfi, D.; Lendület Laboratory of Systems Neuroscience, Hungary; email: balazsfi.diana@koki.mta.hu \n Correspondence Address: Hangya, B.; Lendület Laboratory of Systems Neuroscience, Hungary; email: hangya.balazs@koki.mta.hu \n Funding details: European Research Council, ERC, 715043 \n Funding details: Hungarian Scientific Research Fund, hu:OTKA \n Funding details: Magyar Tudományos Akadémia, MTA \n Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH, KH125294 \n Funding details: Wigner Fizikai Kutatóközpont, Magyar Tudományos Akadémia, LP2015-2/2015 \n Funding text 1: We thank Katalin Lengyel and Éva Dobozi (Semmelweis University, Budapest, Hungary) for expert technical assistance in anatomical methods and hormone measurements; Drs Éva Mikics and László Bíró for providing us antibodies for c-fos immunostaining; Vivien Pillár for help in behavioral training; Drs. Éva Mikics and László Acsády for helpful comments on the manuscript. We acknowledge the help of the Behavioral Studies Unit at the Institute of Experimental Medicine for kindly providing support with the wireless optogenetic system. We acknowledge the help of László Barna and the Nikon Center of Excellence at the Institute of Experimental Medicine, Nikon Europe, Nikon Austria, and Auro-Science Consulting for kindly providing microscopy support. This work was supported by the ‘Lendület’ Program of the Hungarian Academy of Sciences (LP2015-2/2015), NKFIH KH125294 and the European Research Council Starting Grant no. 715043 to BH. The NeuroLux devices were provided by the INFRA grant of the Hungarian Academy of Sciences. BH was a member of the FENS-Kavli Network of Excellence.\nLendület Laboratory of Systems Neuroscience, Institute of Experimental Medicine, Budapest, Hungary \n Sanworks LLC, Rochester, NY, United States \n Export Date: 30 March 2021 \n Correspondence Address: Balázsfi, D.; Lendület Laboratory of Systems Neuroscience, Hungary; email: balazsfi.diana@koki.mta.hu \n Correspondence Address: Hangya, B.; Lendület Laboratory of Systems Neuroscience, Hungary; email: hangya.balazs@koki.mta.hu \n Funding details: European Research Council, ERC, 715043 \n Funding details: Hungarian Scientific Research Fund, hu:OTKA \n Funding details: Magyar Tudományos Akadémia, MTA \n Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH, KH125294 \n Funding details: Wigner Fizikai Kutatóközpont, Magyar Tudományos Akadémia, LP2015-2/2015 \n Funding text 1: We thank Katalin Lengyel and Éva Dobozi (Semmelweis University, Budapest, Hungary) for expert technical assistance in anatomical methods and hormone measurements; Drs Éva Mikics and László Bíró for providing us antibodies for c-fos immunostaining; Vivien Pillár for help in behavioral training; Drs. Éva Mikics and László Acsády for helpful comments on the manuscript. We acknowledge the help of the Behavioral Studies Unit at the Institute of Experimental Medicine for kindly providing support with the wireless optogenetic system. We acknowledge the help of László Barna and the Nikon Center of Excellence at the Institute of Experimental Medicine, Nikon Europe, Nikon Austria, and Auro-Science Consulting for kindly providing microscopy support. This work was supported by the ‘Lendület’ Program of the Hungarian Academy of Sciences (LP2015-2/2015), NKFIH KH125294 and the European Research Council Starting Grant no. 715043 to BH. The NeuroLux devices were provided by the INFRA grant of the Hungarian Academy of Sciences. BH was a member of the FENS-Kavli Network of Excellence.\nLendület Laboratory of Systems Neuroscience, Institute of Experimental Medicine, Budapest, Hungary \n Sanworks LLC, Rochester, NY, United States \n Export Date: 7 April 2021 \n Correspondence Address: Balázsfi, D.; Lendület Laboratory of Systems Neuroscience, Hungary; email: balazsfi.diana@koki.mta.hu \n Correspondence Address: Hangya, B.; Lendület Laboratory of Systems Neuroscience, Hungary; email: hangya.balazs@koki.mta.hu \n Funding details: European Research Council, ERC, 715043 \n Funding details: Hungarian Scientific Research Fund, hu:OTKA \n Funding details: Magyar Tudományos Akadémia, MTA \n Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH, KH125294 \n Funding details: Wigner Fizikai Kutatóközpont, Magyar Tudományos Akadémia, LP2015-2/2015 \n Funding text 1: We thank Katalin Lengyel and Éva Dobozi (Semmelweis University, Budapest, Hungary) for expert technical assistance in anatomical methods and hormone measurements; Drs Éva Mikics and László Bíró for providing us antibodies for c-fos immunostaining; Vivien Pillár for help in behavioral training; Drs. Éva Mikics and László Acsády for helpful comments on the manuscript. We acknowledge the help of the Behavioral Studies Unit at the Institute of Experimental Medicine for kindly providing support with the wireless optogenetic system. We acknowledge the help of László Barna and the Nikon Center of Excellence at the Institute of Experimental Medicine, Nikon Europe, Nikon Austria, and Auro-Science Consulting for kindly providing microscopy support. This work was supported by the ‘Lendület’ Program of the Hungarian Academy of Sciences (LP2015-2/2015), NKFIH KH125294 and the European Research Council Starting Grant no. 715043 to BH. The NeuroLux devices were provided by the INFRA grant of the Hungarian Academy of Sciences. BH was a member of the FENS-Kavli Network of Excellence.\nLendület Laboratory of Systems Neuroscience, Institute of Experimental Medicine, Budapest, Hungary \n Sanworks LLC, Rochester, NY, United States \n Export Date: 8 April 2021 \n Correspondence Address: Balázsfi, D.; Lendület Laboratory of Systems Neuroscience, Hungary; email: balazsfi.diana@koki.mta.hu \n Correspondence Address: Hangya, B.; Lendület Laboratory of Systems Neuroscience, Hungary; email: hangya.balazs@koki.mta.hu \n Funding details: European Research Council, ERC, 715043 \n Funding details: Hungarian Scientific Research Fund, hu:OTKA \n Funding details: Magyar Tudományos Akadémia, MTA \n Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH, KH125294 \n Funding details: Wigner Fizikai Kutatóközpont, Magyar Tudományos Akadémia, LP2015-2/2015 \n Funding text 1: We thank Katalin Lengyel and Éva Dobozi (Semmelweis University, Budapest, Hungary) for expert technical assistance in anatomical methods and hormone measurements; Drs Éva Mikics and László Bíró for providing us antibodies for c-fos immunostaining; Vivien Pillár for help in behavioral training; Drs. Éva Mikics and László Acsády for helpful comments on the manuscript. We acknowledge the help of the Behavioral Studies Unit at the Institute of Experimental Medicine for kindly providing support with the wireless optogenetic system. We acknowledge the help of László Barna and the Nikon Center of Excellence at the Institute of Experimental Medicine, Nikon Europe, Nikon Austria, and Auro-Science Consulting for kindly providing microscopy support. This work was supported by the ‘Lendület’ Program of the Hungarian Academy of Sciences (LP2015-2/2015), NKFIH KH125294 and the European Research Council Starting Grant no. 715043 to BH. The NeuroLux devices were provided by the INFRA grant of the Hungarian Academy of Sciences. 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Traditional training protocols require lab personnel to move the animals between home cages and training chambers, to start and end training sessions, and in some cases, to hand-control each training trial. Human labor not only limits the amount of training per day, but also introduces several sources of variability and may increase animal stress. Here we present an automated training system for the 5-choice serial reaction time task (5CSRTT), a classic rodent task often used to test sensory detection, sustained attention and impulsivity. We found that full automation without human intervention allowed rapid, cost-efficient training, and decreased stress as measured by corticosterone levels. Training breaks introduced only a transient drop in performance, and mice readily generalized across training systems when transferred from automated to manual protocols. We further validated our automated training system with wireless optogenetics and pharmacology experiments, expanding the breadth of experimental needs our system may fulfill. 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