$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

[해외논문] A bird’s-eye view of brain activity in socially interacting mice through mobile edge computing (MEC) 원문보기

Science advances, v.6 no.49, 2020년, pp.eabb9841 -   

Kim, Jisoo (Center for Neuroscience, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul 02792, South Korea.) ,  Kim, Chaewoo (Center for Neuroscience, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul 02792, South Korea.) ,  Han, Hio-Been (Center for Neuroscience, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul 02792, South Korea.) ,  Cho, Cheol Jun (Center for Neuroscience, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul 02792, South Korea.) ,  Yeom, Wooseob (Intelligent Sensor Research Section, Electronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, South Korea.) ,  Lee, Sung Q. (Intelligent Sensor Research Section, Electronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, South Korea.) ,  Choi, Jee Hyun (Center for Neuroscience, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul 02792, South Korea.)

Abstract AI-Helper 아이콘AI-Helper

Illuminating neural event of interests on the head shows the direct link between brain activity and behaviors in group of mice.Social cognition requires neural processing, yet a unifying method linking particular brain activities and social behaviors is lacking. Here, we embedded mobile edge computi...

참고문헌 (36)

  1. 1 Wilson E. O. , The sociogenesis of insect colonies . Science 228 , 1489 – 1495 ( 1985 ). 17831241 

  2. 2 Lee Y.-A. , Obora T. , Bondonny L. , Toniolo A. , Mivielle J. , Yamaguchi Y. , Kato A. , Takita M. , Goto Y. , The effects of housing density on social interactions and their correlations with serotonin in rodents and primates . Sci. Rep. 8 , 3497 ( 2018 ). 29472615 

  3. 3 Grabenhorst F. , Báez-Mendoza R. , Genest W. , Deco G. , Schultz W. , Primate amygdala neurons simulate decision processes of social partners . Cell 177 , 986 – 998.e15 ( 2019 ). 30982599 

  4. 4 Chen P. , Hong W. , Neural circuit mechanisms of social behavior . Neuron 98 , 16 – 30 ( 2018 ). 29621486 

  5. 5 Santos G. S. , Nagasaka Y. , Fujii N. , Nakahara H. , Encoding of social state information by neuronal activities in the macaque caudate nucleus . Soc. Neurosci. 7 , 42 – 58 ( 2012 ). 21961907 

  6. 6 Kingsbury L. , Huang S. , Wang J. , Gu K. , Golshani P. , Wu Y. E. , Hong W. , Correlated neural activity and encoding of behavior across brains of socially interacting animals . Cell 178 , 429 – 446.e16 ( 2019 ). 31230711 

  7. 7 Zhang W. , Yartsev M. M. , Correlated neural activity across the brains of socially interacting bats . Cell 178 , 413 – 428.e22 ( 2019 ). 31230710 

  8. 8 Weissbrod A. , Shapiro A. , Vasserman G. , Edry L. , Dayan M. , Yitzhaky A. , Hertzberg L. , Feinerman O. , Kimchi T. , Automated long-term tracking and social behavioural phenotyping of animal colonies within a semi-natural environment . Nat. Commun. 4 , 2018 ( 2013 ). 23771126 

  9. 9 Shemesh Y. , Sztainberg Y. , Forkosh O. , Shlapobersky T. , Chen A. , Schneidman E. , High-order social interactions in groups of mice . eLife 2 , e00759 ( 2013 ). 24015357 

  10. 10 Romero-Ferrero F. , Bergomi M. G. , Hinz R. C. , Heras F. J. H. , de Polavieja G. G. , idtracker.ai: Tracking all individuals in small or large collectives of unmarked animals . Nat. Methods 16 , 179 – 182 ( 2019 ). 30643215 

  11. 11 Su Y. , Routhu S. , Moon K. S. , Lee S. Q. , Youm W. , Ozturk Y. , A wireless 32-channel implantable bidirectional brain machine interface . Sensors 16 , 1582 ( 2016 ). 

  12. 12 Szuts T. A. , Fadeyev V. , Kachiguine S. , Sher A. , Grivich M. V. , Agrochão M. , Hottowy P. , Dabrowski W. , Lubenov E. V. , Siapas A. G. , Uchida N. , Litke A. M. , Meister M. , A wireless multi-channel neural amplifier for freely moving animals . Nat. Neurosci. 14 , 263 – 269 ( 2011 ). 21240274 

  13. 13 Lu L. , Gutruf P. , Xia L. , Bhatti D. L. , Wang X. , Vazquez-Guardado A. , Ning X. , Shen X. , Sang T. , Ma R. , Pakeltis G. , Sobczak G. , Zhang H. , Seo D.-o. , Xue M. , Yin L. , Chanda D. , Sheng X. , Bruchas M. R. , Rogers J. A. , Wireless optoelectronic photometers for monitoring neuronal dynamics in the deep brain . Proc. Natl. Acad. Sci. U.S.A. 115 , E1374 – E1383 ( 2018 ). 29378934 

  14. 14 Li H. , Ota K. , Dong M. , Learning IoT in edge: Deep learning for the internet of things with edge computing . IEEE Netw. 32 , 96 – 101 ( 2018 ). 

  15. 15 Manogaran G. , Shakeel P. M. , Fouad H. , Nam Y. , Baskar S. , Chilamkurti N. , Sundarasekar R. , Wearable IoT smart-log patch: An edge computing-based Bayesian deep learning network system for multi access physical monitoring system . Sensors 19 , 3030 ( 2019 ). 

  16. 16 Ren J. , Guo H. , Xu C. , Zhang Y. , Serving at the edge: A scalable IoT architecture based on transparent computing . IEEE Netw. 31 , 96 – 105 ( 2017 ). 

  17. 17 Fries P. , Rhythms for cognition: Communication through coherence . Neuron 88 , 220 – 235 ( 2015 ). 26447583 

  18. 18 Bickart K. C. , Hollenbeck M. C. , Barrett L. F. , Dickerson B. C. , Intrinsic amygdala-cortical functional connectivity predicts social network size in humans . J. Neurosci. 32 , 14729 – 14741 ( 2012 ). 23077058 

  19. 19 Bauer E. P. , Paz R. , Paré D. , Gamma oscillations coordinate amygdalo-rhinal interactions during learning . J. Neurosci. 27 , 9369 – 9379 ( 2007 ). 17728450 

  20. 20 Amir A. , Headley D. B. , Lee S.-C. , Haufler D. , Paré D. , Vigilance-associated gamma oscillations coordinate the ensemble activity of basolateral amygdala neurons . Neuron 97 , 656 – 669.e7 ( 2018 ). 29420934 

  21. 21 Stujenske J. M. , Likhtik E. , Topiwala M. A. , Gordon J. A. , Fear and safety engage competing patterns of theta-gamma coupling in the basolateral amygdala . Neuron 83 , 919 – 933 ( 2014 ). 25144877 

  22. 22 Tseng P.-H. , Rajangam S. , Lehew G. , Lebedev M. A. , Nicolelis M. A. L. , Interbrain cortical synchronization encodes multiple aspects of social interactions in monkey pairs . Sci. Rep. 8 , 4699 ( 2018 ). 29599529 

  23. 23 Amir A. , Kyriazi P. , Lee S.-C. , Headley D. B. , Paré D. , Basolateral amygdala neurons are activated during threat expectation . J. Neurophysiol. 121 , 1761 – 1777 ( 2019 ). 30840520 

  24. 24 Adolphs R. , What does the amygdala contribute to social cognition? Ann. N. Y. Acad. Sci. 1191 , 42 – 61 ( 2010 ). 20392275 

  25. 25 Bickart K. C. , Wright C. I. , Dautoff R. J. , Dickerson B. C. , Barrett L. F. , Amygdala volume and social network size in humans . Nat. Neurosci. 14 , 163 – 164 ( 2011 ). 21186358 

  26. 26 Choi J.-S. , Kim J. J. , Amygdala regulates risk of predation in rats foraging in a dynamic fear environment . Proc. Natl. Acad. Sci. U.S.A. 107 , 21773 – 21777 ( 2010 ). 21115817 

  27. 27 Bowen M. T. , Kevin R. C. , May M. , Staples L. G. , Hunt G. E. , McGregor I. S. , Defensive aggregation (huddling) in Rattus norvegicus toward predator odor: Individual differences, social buffering effects and neural correlates . PLOS ONE 8 , e68483 ( 2013 ). 23922655 

  28. 28 Parrish J. K. , Edelstein-Keshet L. , Complexity, pattern, and evolutionary trade-offs in animal aggregation . Science 284 , 99 – 101 ( 1999 ). 10102827 

  29. 29 Zhang S. , Liu M. , Lei X. , Yang P. , Huang Y. , Clark R. , Group chase and escape with prey’s anti-attack behavior . Phys. Lett. A 383 , 125871 ( 2019 ). 

  30. 30 O’Keefe J. , Dostrovsky J. , The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat . Brain Res. 34 , 171 – 175 ( 1971 ). 5124915 

  31. 31 Reinhold A. S. , Sanguinetti-Scheck J. I. , Hartmann K. , Brecht M. , Behavioral and neural correlates of hide-and-seek in rats . Science 365 , 1180 – 1183 ( 2019 ). 31515395 

  32. 32 Popescu A. T. , Popa D. , Paré D. , Coherent gamma oscillations couple the amygdala and striatum during learning . Nat. Neurosci. 12 , 801 – 807 ( 2009 ). 19430471 

  33. 33 Mobbs D. , Petrovic P. , Marchant J. L. , Hassabis D. , Weiskopf N. , Seymour B. , Dolan R. J. , Frith C. D. , When fear is near: Threat imminence elicits prefrontal-periaqueductal gray shifts in humans . Science 317 , 1079 – 1083 ( 2007 ). 17717184 

  34. 34 Zheng J. , Anderson K. L. , Leal S. L. , Shestyuk A. , Gulsen G. , Mnatsakanyan L. , Vadera S. , Hsu F. P. K. , Yassa M. A. , Knight R. T. , Lin J. J. , Amygdala-hippocampal dynamics during salient information processing . Nat. Commun. 8 , 14413 ( 2017 ). 28176756 

  35. 35 Karalis N. , Dejean C. , Chaudun F. , Khoder S. , Rozeske R. R. , Wurtz H. , Bagur S. , Benchenane K. , Sirota A. , Courtin J. , Herry C. , 4-Hz oscillations synchronize prefrontal-amygdala circuits during fear behavior . Nat. Neurosci. 19 , 605 – 612 ( 2016 ). 26878674 

  36. 36 O. Ronneberger, P. Fischer, T. Brox, U-Net: Convolutional networks for biomedical image segmentation, in International Conference on Medical Image Computing and Computer-Assisted Intervention , N. Navab, J. Hornegger, W. M. Wells, A. F. Frangi, Eds. (Springer, Cham, 2015), pp. 234–241. 

LOADING...

활용도 분석정보

상세보기
다운로드
내보내기

활용도 Top5 논문

해당 논문의 주제분야에서 활용도가 높은 상위 5개 콘텐츠를 보여줍니다.
더보기 버튼을 클릭하시면 더 많은 관련자료를 살펴볼 수 있습니다.

관련 콘텐츠

오픈액세스(OA) 유형

GOLD

오픈액세스 학술지에 출판된 논문

유발과제정보 저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로