{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T02:46:44Z","timestamp":1767149204499,"version":"build-2238731810"},"reference-count":25,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T00:00:00Z","timestamp":1714694400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["PE0000004"],"award-info":[{"award-number":["PE0000004"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["CUP E13C22001900001"],"award-info":[{"award-number":["CUP E13C22001900001"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["SoftwareX"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1016\/j.softx.2024.101759","type":"journal-article","created":{"date-parts":[[2024,5,22]],"date-time":"2024-05-22T18:18:32Z","timestamp":1716401912000},"page":"101759","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["WiN-GUI: A graphical tool for neuron-based encoding"],"prefix":"10.1016","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7546-0202","authenticated-orcid":false,"given":"Simon F.","family":"M\u00fcller-Cleve","sequence":"first","affiliation":[]},{"given":"Fernando M.","family":"Quintana","sequence":"additional","affiliation":[]},{"given":"Vittorio","family":"Fra","sequence":"additional","affiliation":[]},{"given":"Pedro L.","family":"Galindo","sequence":"additional","affiliation":[]},{"given":"Fernando","family":"Perez-Pe\u00f1a","sequence":"additional","affiliation":[]},{"given":"Gianvito","family":"Urgese","sequence":"additional","affiliation":[]},{"given":"Chiara","family":"Bartolozzi","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.softx.2024.101759_b1","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1109\/JSSC.2007.914337","article-title":"A 128\u00d7128 120 dB 15\u03bcs latency asynchronous temporal contrast vision sensor","volume":"43","author":"Lichtsteiner","year":"2008","journal-title":"IEEE J Solid-State Circuits"},{"issue":"10","key":"10.1016\/j.softx.2024.101759_b2","doi-asserted-by":"crossref","first-page":"2333","DOI":"10.1109\/JSSC.2014.2342715","article-title":"A 240\u00d7180 130 db 3\u03bcs latency global shutter spatiotemporal vision sensor","volume":"49","author":"Brandli","year":"2014","journal-title":"IEEE J Solid-State Circuits"},{"key":"10.1016\/j.softx.2024.101759_b3","series-title":"4.1 A 640\u00d7480 dynamic vision sensor with a 9\u03bcm pixel and 300Meps address-event representation","first-page":"66","author":"Son","year":"2017"},{"issue":"1","key":"10.1016\/j.softx.2024.101759_b4","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1109\/JSSC.2010.2085952","article-title":"A QVGA 143 dB dynamic range frame-free PWM image sensor with lossless pixel-level video compression and time-domain CDS","volume":"46","author":"Posch","year":"2010","journal-title":"IEEE J Solid-State Circuits"},{"issue":"1","key":"10.1016\/j.softx.2024.101759_b5","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/MM.2018.112130359","article-title":"Loihi: A neuromorphic manycore processor with on-chip learning","volume":"38","author":"Davies","year":"2018","journal-title":"IEEE Micro"},{"issue":"1","key":"10.1016\/j.softx.2024.101759_b6","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1109\/TBCAS.2017.2759700","article-title":"A scalable multicore architecture with heterogeneous memory structures for dynamic neuromorphic asynchronous processors (DYNAPs)","volume":"12","author":"Moradi","year":"2017","journal-title":"IEEE Trans Biomed Circuits Syst"},{"key":"10.1016\/j.softx.2024.101759_b7","series-title":"Spinnaker 2: A 10 million core processor system for brain simulation and machine learning","author":"Mayr","year":"2019"},{"key":"10.1016\/j.softx.2024.101759_b8","series-title":"2021 IEEE workshop on signal processing systems","first-page":"254","article-title":"Efficient neuromorphic signal processing with loihi 2","author":"Orchard","year":"2021"},{"key":"10.1016\/j.softx.2024.101759_b9","article-title":"Event-driven vision hits production lines","author":"Pel\u00e9","year":"2019","journal-title":"EE Times"},{"issue":"3","key":"10.1016\/j.softx.2024.101759_b10","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/MC.2018.157113521","article-title":"Programming spiking neural networks on Intel\u2019s Loihi","volume":"51","author":"Lin","year":"2018","journal-title":"Computer"},{"issue":"28","key":"10.1016\/j.softx.2024.101759_b11","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.1704856114","article-title":"Simulating tactile signals from the whole hand with millisecond precision","volume":"144","author":"Saal","year":"2017","journal-title":"Proc Natl Acad Sci USA"},{"issue":"2164","key":"10.1016\/j.softx.2024.101759_b12","doi-asserted-by":"crossref","DOI":"10.1098\/rsta.2019.0156","article-title":"Soft eSkin: distributed touch sensing with harmonized energy and computing","volume":"378","author":"Soni","year":"2019","journal-title":"Phil Trans R Soc A"},{"key":"10.1016\/j.softx.2024.101759_b13","series-title":"2015 IEEE\/RSJ international conference on intelligent robots and systems","first-page":"2124","article-title":"Event-based signaling for reducing required data rates and processing power in a large-scale artificial robotic skin","author":"Bergner","year":"2015"},{"issue":"2","key":"10.1016\/j.softx.2024.101759_b14","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1109\/TNNLS.2019.2906158","article-title":"Selection and optimization of temporal spike encoding methods for spiking neural networks","volume":"31","author":"Petro","year":"2019","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"6","key":"10.1016\/j.softx.2024.101759_b15","doi-asserted-by":"crossref","first-page":"4693","DOI":"10.1007\/s11063-021-10562-2","article-title":"A survey of encoding techniques for signal processing in spiking neural networks","volume":"53","author":"Auge","year":"2021","journal-title":"Neural Process Lett"},{"key":"10.1016\/j.softx.2024.101759_b16","series-title":"Proceedings of the international conference on neuromorphic systems 2022","first-page":"1","article-title":"Evaluating encoding and decoding approaches for spiking neuromorphic systems","author":"Schuman","year":"2022"},{"key":"10.1016\/j.softx.2024.101759_b17","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2022.999029","article-title":"Spike encoding techniques for IoT time-varying signals benchmarked on a neuromorphic classification task","volume":"16","author":"Forno","year":"2022","journal-title":"Front Neurosci"},{"issue":"3","key":"10.1016\/j.softx.2024.101759_b18","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1162\/neco.2008.12-07-680","article-title":"A generalized linear integrate-and-fire neural model produces diverse spiking behaviors","volume":"21","author":"Mihala\u015f","year":"2009","journal-title":"Neural Comput","ISSN":"https:\/\/id.crossref.org\/issn\/0899-7667","issn-type":"print"},{"issue":"6","key":"10.1016\/j.softx.2024.101759_b19","doi-asserted-by":"crossref","first-page":"1569","DOI":"10.1109\/TNN.2003.820440","article-title":"Simple model of spiking neurons","volume":"14","author":"Izhikevich","year":"2003","journal-title":"IEEE Trans Neural Netw"},{"key":"10.1016\/j.softx.2024.101759_b20","doi-asserted-by":"crossref","DOI":"10.1109\/TNNLS.2020.3044364","article-title":"The Heidelberg spiking data sets for the systematic evaluation of spiking neural networks","volume":"33","author":"Cramer","year":"2022","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10.1016\/j.softx.2024.101759_b21","doi-asserted-by":"crossref","unstructured":"Hines ML, Carnevale NT. NEURON: a tool for neuroscientists. Neurosci: Rev J Bringing Neurobiol Neurol Psychiatry 7(3):123\u201335. http:\/\/dx.doi.org\/10.1177\/107385840100700207.","DOI":"10.1177\/107385840100700207"},{"key":"10.1016\/j.softx.2024.101759_b22","unstructured":"Christie I. NeuronModelGUI. URL https:\/\/github.com\/iankchristie\/NeuronModelGUI."},{"key":"10.1016\/j.softx.2024.101759_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.softx.2023.101349","article-title":"NESIM-RT: A real-time distributed spiking neural network simulator","volume":"22","author":"Rosa-Gallardo","year":"2023","journal-title":"SoftwareX","ISSN":"https:\/\/id.crossref.org\/issn\/2352-7110","issn-type":"print"},{"key":"10.1016\/j.softx.2024.101759_b24","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2022.951164","article-title":"Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware","volume":"16","author":"M\u00fcller-Cleve","year":"2022","journal-title":"Front Neurosci","ISSN":"https:\/\/id.crossref.org\/issn\/1662-453X","issn-type":"print"},{"key":"10.1016\/j.softx.2024.101759_b25","series-title":"Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing","author":"Pedersen","year":"2023"}],"updated-by":[{"DOI":"10.1016\/j.softx.2024.102031","type":"addendum","label":"Addendum","source":"publisher","updated":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000}}],"container-title":["SoftwareX"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352711024001304?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352711024001304?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T17:06:26Z","timestamp":1762621586000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2352711024001304"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":25,"alternative-id":["S2352711024001304"],"URL":"https:\/\/doi.org\/10.1016\/j.softx.2024.101759","relation":{},"ISSN":["2352-7110"],"issn-type":[{"value":"2352-7110","type":"print"}],"subject":[],"published":{"date-parts":[[2024,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"WiN-GUI: A graphical tool for neuron-based encoding","name":"articletitle","label":"Article Title"},{"value":"SoftwareX","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.softx.2024.101759","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"simple-article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"101759"}}