{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T14:04:41Z","timestamp":1785074681615,"version":"3.55.0"},"reference-count":69,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T00:00:00Z","timestamp":1781222400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100014576","name":"University of California Office of the President","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014576","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000051","name":"National Human Genome Research Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000051","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000900","name":"California Institute for Regenerative Medicine","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000900","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000057","name":"National Institute of General Medical Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000057","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Array"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.array.2026.101013","type":"journal-article","created":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T23:36:42Z","timestamp":1781912202000},"page":"101013","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["SpikeCanvas: An IoT-based control plane for event-triggered workflow orchestration of high-density neurophysiology data"],"prefix":"10.1016","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3431-9568","authenticated-orcid":false,"given":"Jinghui","family":"Geng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kateryna","family":"Voitiuk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David F.","family":"Parks","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ash","family":"Robbins","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alex","family":"Spaeth","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jessica L.","family":"Sevetson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sebastian","family":"Hernandez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hunter E.","family":"Schweiger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John P.","family":"Andrews","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Spencer T.","family":"Seiler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew A.T.","family":"Elliott","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edward F.","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tomasz J.","family":"Nowakowski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rob","family":"Currie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammed A.","family":"Mostajo-Radji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Haussler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tal","family":"Sharf","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sofie R.","family":"Salama","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mircea","family":"Teodorescu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.array.2026.101013_bib1","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/s41598-018-36895-y","article-title":"Accurate signal-source localization in brain slices by means of high-density microelectrode arrays","volume":"9","author":"Obien","year":"2019","journal-title":"Sci Rep"},{"key":"10.1016\/j.array.2026.101013_bib2","series-title":"2023 IEEE BioSensors conference (BioSensors)","first-page":"1","article-title":"Multi-functional hd-mea platform for high-resolution impedance imaging and electrophysiological recordings of brain slices","author":"Ulusan","year":"2023"},{"issue":"1","key":"10.1016\/j.array.2026.101013_bib3","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1038\/s41467-020-20763-3","article-title":"3d highdensity microelectrode array with optical stimulation and drug delivery for investigating neural circuit dynamics","volume":"12","author":"Shin","year":"2021","journal-title":"Nat Commun"},{"issue":"7","key":"10.1016\/j.array.2026.101013_bib4","doi-asserted-by":"crossref","first-page":"1286","DOI":"10.1039\/D1LC00878A","article-title":"Multi-parametric functional imaging of cell cultures and tissues with a cmos microelectrode array","volume":"22","author":"Abbott","year":"2022","journal-title":"Lab Chip"},{"issue":"1","key":"10.1016\/j.array.2026.101013_bib5","doi-asserted-by":"crossref","first-page":"9547","DOI":"10.1038\/s41467-024-53505-w","article-title":"Revealing single-neuron and network-activity interaction by combining high-density microelectrode array and optogenetics","volume":"15","author":"Kobayashi","year":"2024","journal-title":"Nat Commun"},{"issue":"6","key":"10.1016\/j.array.2026.101013_bib6","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1557\/s43577-022-00282-w","article-title":"Functional imaging of brain organoids using high-density microelectrode arrays","volume":"47","author":"Schr\u00f6ter","year":"2022","journal-title":"MRS Bull"},{"issue":"1","key":"10.1016\/j.array.2026.101013_bib7","doi-asserted-by":"crossref","first-page":"4403","DOI":"10.1038\/s41467-022-32115-4","article-title":"Functional neuronal circuitry and oscillatory dynamics in human brain organoids","volume":"13","author":"Sharf","year":"2022","journal-title":"Nat Commun"},{"issue":"9","key":"10.1016\/j.array.2026.101013_bib8","doi-asserted-by":"crossref","DOI":"10.1016\/j.stemcr.2025.102632","article-title":"The emergence of electrical activity in human brain organoids","volume":"20","author":"Mancinelli","year":"2025","journal-title":"Stem Cell Rep"},{"issue":"2","key":"10.1016\/j.array.2026.101013_bib9","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.jneumeth.2012.04.002","article-title":"Multiscale functional connectivity estimation on low-density neuronal cultures recorded by high-density cmos micro electrode arrays","volume":"207","author":"Maccione","year":"2012","journal-title":"J Neurosci Methods"},{"key":"10.1016\/j.array.2026.101013_bib10","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2022.829884","article-title":"Engineered biological neural networks on high density cmos microelectrode arrays","volume":"16","author":"Duru","year":"2022","journal-title":"Front Neurosci"},{"key":"10.1016\/j.array.2026.101013_bib11","doi-asserted-by":"crossref","first-page":"100901doi","DOI":"10.1016\/j.crmeth.2024.100901","article-title":"Mea-nap: a flexible network analysis pipeline for neuronal 2d and 3d organoid multielectrode recordings","author":"Sit","year":"2024","journal-title":"Cell Rep Methods"},{"issue":"2","key":"10.1016\/j.array.2026.101013_bib12","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1038\/nn.2731","article-title":"How advances in neural recording affect data analysis","volume":"14","author":"Stevenson","year":"2011","journal-title":"Nat Neurosci"},{"issue":"11","key":"10.1016\/j.array.2026.101013_bib13","doi-asserted-by":"crossref","first-page":"1500","DOI":"10.1038\/nn.3776","article-title":"Dimensionality reduction for large-scale neural recordings","volume":"17","author":"Cunningham","year":"2014","journal-title":"Nat Neurosci"},{"issue":"1","key":"10.1016\/j.array.2026.101013_bib14","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1038\/s41593-021-00980-9","article-title":"Large-scale neural recordings call for new insights to link brain and behavior","volume":"25","author":"Urai","year":"2022","journal-title":"Nat Neurosci"},{"issue":"9","key":"10.1016\/j.array.2026.101013_bib15","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.1038\/nn.4365","article-title":"Improving data quality in neuronal population recordings","volume":"19","author":"Harris","year":"2016","journal-title":"Nat Neurosci"},{"key":"10.1016\/j.array.2026.101013_bib16","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/j.conb.2018.04.007","article-title":"Neural data science: accelerating the experiment-analysis-theory cycle in large-scale neuroscience","volume":"50","author":"Paninski","year":"2018","journal-title":"Curr Opin Neurobiol"},{"issue":"4","key":"10.1016\/j.array.2026.101013_bib17","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1016\/j.stem.2019.08.002","article-title":"Complex oscillatory waves emerging from cortical organoids model early human brain network development","volume":"25","author":"Trujillo","year":"2019","journal-title":"Cell Stem Cell"},{"key":"10.1016\/j.array.2026.101013_bib18","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.55167","article-title":"Spikeforest, reproducible web-facing ground-truth validation of automated neural spike sorters","volume":"9","author":"Magland","year":"2020","journal-title":"eLife"},{"issue":"2","key":"10.1016\/j.array.2026.101013_bib19","article-title":"Spike sorting: new trends and challenges of the era of high-density probes, progress in biomedical","volume":"4","author":"Buccino","year":"2022","journal-title":"Engineering"},{"key":"10.1016\/j.array.2026.101013_bib20","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.34518","article-title":"A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo","volume":"7","author":"Yger","year":"2018","journal-title":"eLife"},{"issue":"10","key":"10.1016\/j.array.2026.101013_bib21","doi-asserted-by":"crossref","first-page":"2521","DOI":"10.1016\/j.celrep.2017.02.038","article-title":"Unsupervised spike sorting for large-scale, high-density multielectrode arrays","volume":"18","author":"Hilgen","year":"2017","journal-title":"Cell Rep"},{"issue":"24","key":"10.1016\/j.array.2026.101013_bib22","doi-asserted-by":"crossref","first-page":"8699","DOI":"10.1523\/JNEUROSCI.0971-11.2011","article-title":"Quality metrics to accompany spike sorting of extracellular signals","volume":"31","author":"Hill","year":"2011","journal-title":"J Neurosci"},{"issue":"2","key":"10.1016\/j.array.2026.101013_bib23","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2552\/adaa1c","article-title":"Aecuration: automated event curation for spike sorting","volume":"22","author":"Li","year":"2025","journal-title":"J Neural Eng"},{"issue":"22","key":"10.1016\/j.array.2026.101013_bib24","doi-asserted-by":"crossref","first-page":"3594","DOI":"10.1016\/j.neuron.2021.09.002","article-title":"Cellexplorer: a framework for visualizing and characterizing single neurons","volume":"109","author":"Petersen","year":"2021","journal-title":"Neuron"},{"key":"10.1016\/j.array.2026.101013_bib25","doi-asserted-by":"crossref","DOI":"10.1016\/j.softx.2024.101710","article-title":"Neoviewer: facilitating reuse of electrophysiology data through browserbased interactive visualization","volume":"26","author":"Ates","year":"2024","journal-title":"SoftwareX"},{"issue":"2","key":"10.1016\/j.array.2026.101013_bib26","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2552\/ac59a2","article-title":"An automated method for precise axon reconstruction from recordings of high-density micro-electrode arrays","volume":"19","author":"Buccino","year":"2022","journal-title":"J Neural Eng"},{"key":"10.1016\/j.array.2026.101013_bib27","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.67490","article-title":"Non-linear dimensionality reduction on extracellular waveforms reveals cell type diversity in premotor cortex","volume":"10","author":"Lee","year":"2021","journal-title":"eLife"},{"issue":"2","key":"10.1016\/j.array.2026.101013_bib28","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/j.stemcr.2023.12.008","article-title":"Deephys: a machine learning\u2013assisted platform for electrophysiological phenotyping of human neuronal networks","volume":"19","author":"Hornauer","year":"2024","journal-title":"Stem Cell Rep"},{"issue":"4","key":"10.1016\/j.array.2026.101013_bib29","article-title":"An overview of online based platforms for sharing and analyzing electrophysiology data from big data perspective","volume":"7","author":"Chen","year":"2017","journal-title":"Wiley Interdiscip Rev: Data Min Knowl Discovery"},{"key":"10.1016\/j.array.2026.101013_bib30","article-title":"Realtime spike-sorting for extracellular electrophysiology with hundreds of channels","author":"Pachitariu","year":"2016","journal-title":"bioRxiv"},{"key":"10.1016\/j.array.2026.101013_bib31","doi-asserted-by":"crossref","first-page":"10","DOI":"10.3389\/fninf.2014.00010","article-title":"Neo: an object model for handling electrophysiology data in multiple formats","volume":"8","author":"Garcia","year":"2014","journal-title":"Front Neuroinf"},{"key":"10.1016\/j.array.2026.101013_bib32","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.61834","article-title":"Spikeinterface, a unified framework for spike sorting","volume":"9","author":"Buccino","year":"2020","journal-title":"eLife"},{"key":"10.1016\/j.array.2026.101013_bib33","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.85786","article-title":"Pynapple, a toolbox for data analysis in neuroscience","volume":"12","author":"Viejo","year":"2023","journal-title":"eLife"},{"key":"10.1016\/j.array.2026.101013_bib34","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.future.2014.10.008","article-title":"Pegasus, a workflow management system for science automation","volume":"46","author":"Deelman","year":"2015","journal-title":"Future Gener Comput Syst"},{"issue":"4","key":"10.1016\/j.array.2026.101013_bib35","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1038\/nbt.3820","article-title":"Nextflow enables reproducible computational workflows","volume":"35","author":"Di Tommaso","year":"2017","journal-title":"Nat Biotechnol"},{"key":"10.1016\/j.array.2026.101013_bib68","series-title":"A hybrid cloud management plane for data processing pipelines","author":"Babu","year":"2025"},{"issue":"1","key":"10.1016\/j.array.2026.101013_bib69","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/s00607-023-01215-4","article-title":"An energy-efficient and deadline-aware workflow scheduling algorithm in the fog and cloud environment","volume":"106","author":"Khaledian","year":"2024","journal-title":"Computing"},{"key":"10.1016\/j.array.2026.101013_bib70","article-title":"Hybrid markov chain-based dynamic scheduling to improve load balancing performance in fog-cloud environment","volume":"45","author":"Khaledian","year":"2025","journal-title":"Sustainable Comput Inf Syst"},{"key":"10.1016\/j.array.2026.101013_bib71","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1007\/s00607-025-01513-z","article-title":"TM-MOAOA: a two-stage task scheduling approach using TOPSIS and multi-objective archimedes optimization in fog-cloud environment","volume":"107","author":"Khaledian","year":"2025","journal-title":"Computing"},{"key":"10.1016\/j.array.2026.101013_bib72","doi-asserted-by":"crossref","first-page":"7673","DOI":"10.1007\/s10586-024-04377-8","article-title":"Analyzing the impact of various parameters on job scheduling in the google cluster dataset","volume":"27","author":"Shahmirzadi","year":"2024","journal-title":"Clust Comput"},{"key":"10.1016\/j.array.2026.101013_bib37","unstructured":"Kubernetes, https:\/\/kubernetes.io."},{"issue":"17","key":"10.1016\/j.array.2026.101013_bib38","doi-asserted-by":"crossref","first-page":"2771","DOI":"10.1016\/j.neuron.2022.06.018","article-title":"Neuroscience cloud analysis as a service: an open-source platform for scalable, reproducible data analysis","volume":"110","author":"Abe","year":"2022","journal-title":"Neuron"},{"issue":"2","key":"10.1016\/j.array.2026.101013_bib39","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1007\/s10586-020-03141-y","article-title":"Quantitative cost comparison of on-premise and cloud infrastructure based eeg data processing","volume":"24","author":"Juhasz","year":"2021","journal-title":"Clust Comput"},{"issue":"5","key":"10.1016\/j.array.2026.101013_bib40","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1038\/s41592-024-02237-2","article-title":"Brainlife. Io: a decentralized and open-source cloud platform to support neuroscience research","volume":"21","author":"Hayashi","year":"2024","journal-title":"Nat Methods"},{"key":"10.1016\/j.array.2026.101013_bib41","series-title":"2013 6th international IEEE\/EMBS conference on neural engineering (NER)","first-page":"1386","article-title":"A multimodal platform for cloud-based collaborative research","author":"Wagenaar","year":"2013"},{"issue":"2","key":"10.1016\/j.array.2026.101013_bib42","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2552\/aaf92e","article-title":"Cloud computing for seizure detection in implanted neural devices","volume":"16","author":"Baldassano","year":"2019","journal-title":"J Neural Eng"},{"issue":"1","key":"10.1016\/j.array.2026.101013_bib43","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-022-19173-w","article-title":"Cloud-enabled biodepot workflow builder integrates image processing using Fiji with reproducible data analysis using jupyter notebooks","volume":"12","author":"Hung","year":"2022","journal-title":"Sci Rep"},{"key":"10.1016\/j.array.2026.101013_bib44","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.85550","article-title":"Sharing neurophysiology data from the allen brain observatory","volume":"12","author":"de Vries","year":"2023","journal-title":"eLife"},{"key":"10.1016\/j.array.2026.101013_bib45","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2022.119295","article-title":"Rt-cloud: a cloud-based software framework to simplify and standardize real-time fmri","volume":"257","author":"Wallace","year":"2022","journal-title":"Neuroimage"},{"key":"10.1016\/j.array.2026.101013_bib46","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2020.105903","article-title":"The role of the internet of things in healthcare: future trends and challenges","volume":"199","author":"Aghdam","year":"2021","journal-title":"Comput Methods Progr Biomed"},{"issue":"13","key":"10.1016\/j.array.2026.101013_bib47","doi-asserted-by":"crossref","first-page":"10474","DOI":"10.1109\/JIOT.2021.3062630","article-title":"Internet of things (iot): a review of its enabling technologies in healthcare applications, standards protocols, security, and market opportunities","volume":"8","author":"Bhuiyan","year":"2021","journal-title":"IEEE Internet Things J"},{"key":"10.1016\/j.array.2026.101013_bib48","doi-asserted-by":"crossref","DOI":"10.1016\/j.iot.2022.100618","article-title":"Iot cloud laboratory: internet of things architecture for cellular biology","volume":"20","author":"Parks","year":"2022","journal-title":"Internet Things"},{"issue":"11","key":"10.1016\/j.array.2026.101013_bib49","doi-asserted-by":"crossref","DOI":"10.1016\/j.heliyon.2022.e11596","article-title":"Cloud-controlled microscopy enables remote project-based biology education in underserved latinx communities","volume":"8","author":"Baudin","year":"2022","journal-title":"Heliyon"},{"issue":"1","key":"10.1016\/j.array.2026.101013_bib50","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-022-20096-9","article-title":"Modular automated microfluidic cell culture platform reduces glycolytic stress in cerebral cortex organoids","volume":"12","author":"Seiler","year":"2022","journal-title":"Sci Rep"},{"issue":"6","key":"10.1016\/j.array.2026.101013_bib51","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2552\/ac310a","article-title":"Light-weight electrophysiology hardware and software platform for cloud-based neural recording experiments","volume":"18","author":"Voitiuk","year":"2021","journal-title":"J Neural Eng"},{"key":"10.1016\/j.array.2026.101013_bib67","article-title":"Multiscale cloud-based pipeline for neuronal electrophysiology analysis and visualization","author":"Geng","year":"2024","journal-title":"bioRxiv"},{"key":"10.1016\/j.array.2026.101013_bib52","series-title":"Proceedings of the 7th conference on operating systems design and implementation (OSDI\u201906)","first-page":"307","article-title":"Ceph: a scalable, high-performance distributed file system","author":"Weil","year":"2006"},{"key":"10.1016\/j.array.2026.101013_bib53","series-title":"Proceedings of the practice and experience on advanced research computing","first-page":"1","article-title":"The pacific research platform: making high-speed networking a reality for the scientist","author":"Smarr","year":"2018"},{"key":"10.1016\/j.array.2026.101013_bib54","unstructured":"National research platform, https:\/\/nationalresearchplatform.org\/."},{"issue":"13","key":"10.1016\/j.array.2026.101013_bib55","doi-asserted-by":"crossref","first-page":"2767","DOI":"10.1039\/C5LC00133A","article-title":"Highresolution cmos mea platform to study neurons at subcellular, cellular, and network levels","volume":"15","author":"M\u00fcller","year":"2015","journal-title":"Lab Chip"},{"key":"10.1016\/j.array.2026.101013_bib56","article-title":"Nwb: n 2.0: an accessible data standard for neurophysiology","author":"R\u00fcbel","year":"2019","journal-title":"bioRxiv"},{"issue":"4","key":"10.1016\/j.array.2026.101013_bib57","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1016\/j.neuron.2015.10.025","article-title":"Neurodata without borders: creating a common data format for neurophysiology","volume":"88","author":"Teeters","year":"2015","journal-title":"Neuron"},{"key":"10.1016\/j.array.2026.101013_bib58","unstructured":"Neurodata without borders: neurophysiology, https:\/\/www.nwb.org\/nwb-neurophysiology\/."},{"key":"10.1016\/j.array.2026.101013_bib59","doi-asserted-by":"crossref","DOI":"10.1016\/j.iot.2025.101671","article-title":"A feedback-driven brain organoid platform enables automated maintenance and high-resolution neural activity monitoring","volume":"33","author":"Voitiuk","year":"2025","journal-title":"Internet Things"},{"key":"10.1016\/j.array.2026.101013_bib60","doi-asserted-by":"crossref","first-page":"1141","DOI":"10.1016\/S0925-2312(01)00480-5","article-title":"Coefficient of variation vs. mean interspike interval curves: what do they tell us about the brain?","volume":"38","author":"Christodoulou","year":"2001","journal-title":"Neurocomputing"},{"issue":"2","key":"10.1016\/j.array.2026.101013_bib61","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1016\/j.jneumeth.2007.10.013","article-title":"Measurement of variability dynamics in cortical spike trains","volume":"169","author":"Nawrot","year":"2008","journal-title":"J Neurosci Methods"},{"issue":"5","key":"10.1016\/j.array.2026.101013_bib63","first-page":"1234","article-title":"Excitatory\/inhibitory balance in epilepsies and neurodevelopmental disorders: depolarizing -aminobutyric acid as a common mechanism","volume":"64","author":"van Hugte","year":"2023","journal-title":"Epilepsia"},{"issue":"3","key":"10.1016\/j.array.2026.101013_bib64","doi-asserted-by":"crossref","first-page":"680","DOI":"10.1523\/JNEUROSCI.4209-04.2005","article-title":"Controlling bursting in cortical cultures with closed-loop multi-electrode stimulation","volume":"25","author":"Wagenaar","year":"2005","journal-title":"J Neurosci"},{"key":"10.1016\/j.array.2026.101013_bib62","first-page":"1","article-title":"Multimodal evaluation of network activity and optogenetic interventions in human hippocampal slices","author":"Andrews","year":"2024","journal-title":"Nat Neurosci"}],"container-title":["Array"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S259000562600336X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S259000562600336X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T13:57:08Z","timestamp":1785074228000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S259000562600336X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":69,"alternative-id":["S259000562600336X"],"URL":"https:\/\/doi.org\/10.1016\/j.array.2026.101013","relation":{},"ISSN":["2590-0056"],"issn-type":[{"value":"2590-0056","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"SpikeCanvas: An IoT-based control plane for event-triggered workflow orchestration of high-density neurophysiology data","name":"articletitle","label":"Article Title"},{"value":"Array","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.array.2026.101013","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"101013"}}