{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,24]],"date-time":"2024-08-24T23:11:51Z","timestamp":1724541111975},"reference-count":24,"publisher":"Frontiers Media SA","content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neuroinform."],"DOI":"10.3389\/fninf.2017.00060","type":"journal-article","created":{"date-parts":[[2017,9,21]],"date-time":"2017-09-21T03:35:37Z","timestamp":1505964937000},"update-policy":"http:\/\/dx.doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":30,"title":["Sleep: An Open-Source Python Software for Visualization, Analysis, and Staging of Sleep Data"],"prefix":"10.3389","volume":"11","author":[{"given":"Etienne","family":"Combrisson","sequence":"first","affiliation":[]},{"given":"Raphael","family":"Vallat","sequence":"additional","affiliation":[]},{"given":"Jean-Baptiste","family":"Eichenlaub","sequence":"additional","affiliation":[]},{"given":"Christian","family":"O'Reilly","sequence":"additional","affiliation":[]},{"given":"Tarek","family":"Lajnef","sequence":"additional","affiliation":[]},{"given":"Aymeric","family":"Guillot","sequence":"additional","affiliation":[]},{"given":"Perrine M.","family":"Ruby","sequence":"additional","affiliation":[]},{"given":"Karim","family":"Jerbi","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2017,9,21]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1587","DOI":"10.1093\/sleep\/30.11.1587","article-title":"Automatic analysis of single-channel sleep EEG: validation in healthy individuals","volume":"30","author":"Berthomier","year":"2007","journal-title":"Sleep"},{"key":"B2","doi-asserted-by":"crossref","unstructured":"BillingerM. BrunnerC. M\u00fcller-PutzG. R. 24653694SCoT: a Python Toolbox for EEG Source Connectivity2014","DOI":"10.3389\/fninf.2014.00022"},{"key":"B3","doi-asserted-by":"crossref","DOI":"10.25080\/Majora-7b98e3ed-00e","article-title":"VisPy: harnessing the GPU for fast, high-level visualization,","author":"Campagnola","year":"2015","journal-title":"Proceedings of the 14th Python in Science Conference"},{"key":"B4","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.jneumeth.2015.01.010","article-title":"Exceeding chance level by chance: the caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy","volume":"250","author":"Combrisson","year":"2015","journal-title":"J. Neurosci. Methods"},{"key":"B5","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1016\/j.neuroimage.2016.11.042","article-title":"From intentions to actions: neural oscillations encode motor processes through phase, amplitude and phase-amplitude coupling","volume":"147","author":"Combrisson","year":"2017","journal-title":"Neuroimage"},{"key":"B6","doi-asserted-by":"publisher","first-page":"1713","DOI":"10.1109\/IEMBS.2011.6090491","article-title":"Automatic sleep spindles detection\u2014overview and development of a standard proposal assessment method","volume":"2011","author":"Devuyst","year":"2011","journal-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc."},{"key":"B7","doi-asserted-by":"publisher","first-page":"1206","DOI":"10.1093\/cercor\/bhs388","article-title":"Brain reactivity differentiates subjects with high and low dream recall frequencies during both sleep and wakefulness","volume":"24","author":"Eichenlaub","year":"2014","journal-title":"Cereb. Cortex"},{"key":"B8","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.brainres.2012.01.072","article-title":"What is the specificity of the response to the own first-name when presented as a novel in a passive oddball paradigm? An ERP study","volume":"1447","author":"Eichenlaub","year":"2012","journal-title":"Brain Res."},{"key":"B9","doi-asserted-by":"publisher","first-page":"1284","DOI":"10.1016\/j.eswa.2011.07.138","article-title":"A wavelet and teager energy operator based method for automatic detection of K-complex in sleep EEG","volume":"39","author":"Erdamar","year":"2012","journal-title":"Expert Syst. Appl."},{"key":"B10","doi-asserted-by":"publisher","first-page":"267","DOI":"10.3389\/fnins.2013.00267","article-title":"MEG and EEG data analysis with MNE-Python","volume":"7","author":"Gramfort","year":"2013","journal-title":"Front. Neurosci."},{"key":"B11","volume-title":"The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications.","author":"Iber","year":"2007"},{"key":"B12","doi-asserted-by":"publisher","first-page":"1758","DOI":"10.1002\/hbm.20750","article-title":"Task-related gamma-band dynamics from an intracerebral perspective: review and implications for surface EEG and MEG","volume":"30","author":"Jerbi","year":"2009","journal-title":"Hum. Brain Mapp."},{"key":"B13","doi-asserted-by":"publisher","first-page":"414","DOI":"10.3389\/fnhum.2015.00414","article-title":"Sleep spindle and K-complex detection using tunable Q-factor wavelet transform and morphological component analysis","volume":"9","author":"Lajnef","year":"","journal-title":"Front. Hum. Neurosci."},{"key":"B14","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.jneumeth.2015.01.022","article-title":"Learning machines and sleeping brains: automatic sleep stage classification using decision-tree multi-class support vector machines","volume":"250","author":"Lajnef","year":"","journal-title":"J. Neurosci. Methods"},{"key":"B15","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3389\/fninf.2017.00015","article-title":"Meet spinky: an open-source spindle and K-complex detection toolbox validated on the open-access Montreal Archive of Sleep Studies (MASS)","volume":"11","author":"Lajnef","year":"2017","journal-title":"Front. Neuroinform."},{"key":"B16","doi-asserted-by":"publisher","first-page":"353","DOI":"10.3389\/fnhum.2015.00353","article-title":"Automatic sleep spindle detection: benchmarking with fine temporal resolution using open science tools","volume":"9","author":"O'Reilly","year":"2015","journal-title":"Front. Hum. Neurosci."},{"key":"B17","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.jneumeth.2015.04.006","article-title":"Detection of K-complexes and sleep spindles (DETOKS) using sparse optimization","volume":"251","author":"Parekh","year":"2015","journal-title":"J. Neurosci. Methods"},{"key":"B18","volume-title":"A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects","author":"Rechtschaffen","year":"1968"},{"key":"B19","doi-asserted-by":"publisher","first-page":"e79989","DOI":"10.1371\/journal.pone.0079989","article-title":"Alpha reactivity to complex sounds differs during REM sleep and wakefulness","volume":"8","author":"Ruby","year":"2013","journal-title":"PLoS ONE"},{"key":"B20","doi-asserted-by":"publisher","first-page":"419","DOI":"10.3389\/fpsyg.2013.00419","article-title":"Alpha reactivity to first names differs in subjects with high and low dream recall frequency","volume":"4","author":"Ruby","year":"2013","journal-title":"Front. Psychol."},{"key":"B21","doi-asserted-by":"publisher","first-page":"3560","DOI":"10.1109\/TSP.2011.2143711","article-title":"Wavelet transform with tunable Q-factor","volume":"59","author":"Selesnick","year":"2011","journal-title":"IEEE Trans. Signal Proc."},{"key":"B22","doi-asserted-by":"crossref","first-page":"4240","DOI":"10.1523\/JNEUROSCI.16-13-04240.1996","article-title":"Stimulus specificity of phase-locked and non-phase-locked 40 Hz visual responses in human","volume":"16","author":"Tallon-Baudry","year":"1996","journal-title":"J. Neurosci."},{"key":"B23","doi-asserted-by":"publisher","first-page":"132","DOI":"10.3389\/fnhum.2017.00132","article-title":"Increased evoked potentials to arousing auditory stimuli during sleep: implication for the understanding of dream recall","volume":"11","author":"Vallat","year":"2017","journal-title":"Front. Hum. Neurosci."},{"key":"B24","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1038\/nmeth.2855","article-title":"Sleep-spindle detection: crowdsourcing and evaluating performance of experts, non-experts and automated methods","volume":"11","author":"Warby","year":"2014","journal-title":"Nat. Methods"}],"container-title":["Frontiers in Neuroinformatics"],"original-title":[],"link":[{"URL":"http:\/\/journal.frontiersin.org\/article\/10.3389\/fninf.2017.00060\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,3]],"date-time":"2019-10-03T15:50:56Z","timestamp":1570117856000},"score":1,"resource":{"primary":{"URL":"http:\/\/journal.frontiersin.org\/article\/10.3389\/fninf.2017.00060\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9,21]]},"references-count":24,"alternative-id":["10.3389\/fninf.2017.00060"],"URL":"https:\/\/doi.org\/10.3389\/fninf.2017.00060","relation":{},"ISSN":["1662-5196"],"issn-type":[{"value":"1662-5196","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,9,21]]}}}