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- authors:
- -
- firstname: "Hio-Been"
- lastname: "Han"
- affiliation: "Massachusetts Institute of Technology; Korea Institute of Science and Technology"
- id: "ORCID:0000-0001-5669-4054"
- -
- firstname: "SungJun"
- lastname: "Cho"
- affiliation: "University of Oxford; Korea Institute of Science and Technology"
- id: "ORCID:0000-0002-2787-3739"
- -
- firstname: "Da-Young"
- lastname: "Jung"
- affiliation: "Korea University; Korea Institute of Science and Technology"
- -
- firstname: "Jee Hyun"
- lastname: "Choi"
- affiliation: "Korea Institute of Science and Technology; Korea University of Science and Technology"
- id: "ORCID:0000-0003-1901-6144"
- title: "Dataset of Mouse Escape Responses and mPFC-BLA LFP recordings"
- description: "Dataset of Mouse Escape Responses and mPFC-BLA LFP recordings"
- keywords:
- - Neuroscience
- - Electrophysiology
- - EEG
- - Mouse EEG
- - Brain oscillations
- license:
- name: "Creative Commons Attribution 4.0 International Public License"
- url: "https://creativecommons.org/licenses/by/4.0/"
- funding:
- - "KIST Intramural Grant, 2E31511-KIST"
- - "ETRI Non-CMOS Neuromorphic Device Basic Technology Grant, 21YB3210-ETRI"
- - "National Research Foundation (NRF) of Korea, 2022R1A2C3003901"
- - "National Research Foundation (NRF) of Korea, 2022R1A6A3A01085957"
- references:
- -
- id: "doi:10.1038/s41597-019-0104-8"
- reftype: "IsSupplementTo"
- citation: "Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6(1):103."
- -
- id: "doi:10.1126/sciadv.abb9841"
- reftype: "IsSupplementTo"
- citation: "Kim, J., Kim, C., Han, H. B., Cho, C. J., Yeom, W., Lee, S. Q., Choi, J. H. (2020). A bird’s-eye view of brain activity in socially interacting mice through mobile edge computing (MEC). Science Advances, 6(49):eabb9841."
- -
- id: "doi:10.1007/978-3-319-24574-4_28"
- reftype: "IsSupplementTo"
- citation: "Ronneberger, O., Fischer, P., Brox, T. (2015). U-net: Convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18 (pp. 234-241). Springer International Publishing."
- -
- id: "doi:10.1073/pnas.2308762120"
- reftype: "IsSupplementTo"
- citation: "Han, H. B., Shin H. S., Jeong Y., Kim, J., Choi, J. H. (2023). Dynamic switching of neural oscillations in the prefrontal–amygdala circuit for naturalistic freeze-or-flight. Proceedings of the National Academy of Sciences, 120(37):e230876212."
- -
- id: "doi:10.1088/1741-2552/acdffd"
- reftype: "IsSupplementTo"
- citation: "Cho, S., Choi, J. H. (2023). A guide towards optimal detection of transient oscillatory bursts with unknown parameters. Journal of Neural Engineering, 20:046007."
-
- resourcetype: Dataset
- # Do not edit or remove the following line
- templateversion: 1.2
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