{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T20:39:19Z","timestamp":1726087159023},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030504199"},{"type":"electronic","value":"9783030504205"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-50420-5_10","type":"book-chapter","created":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T11:04:32Z","timestamp":1592564672000},"page":"132-143","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Simulation of Neurotransmitter Flow in Three Dimensional Model of Presynaptic Bouton"],"prefix":"10.1007","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-0192-3785","authenticated-orcid":false,"given":"Andrzej","family":"Bielecki","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6062-4278","authenticated-orcid":false,"given":"Maciej","family":"Gierdziewicz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,6,15]]},"reference":[{"key":"10_CR1","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s00422-003-0432-8","volume":"90","author":"F Aristizabal","year":"2004","unstructured":"Aristizabal, F., Glavinovic, M.I.: Simulation and parameter estimation of dynamics of synaptic depression. Biol. Cybern. 90, 3\u201318 (2004)","journal-title":"Biol. Cybern."},{"issue":"4","key":"10_CR2","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1007\/s11571-014-9283-3","volume":"8","author":"L Bui","year":"2014","unstructured":"Bui, L., Glavinovi\u0107, M.I.: Temperature dependence of vesicular dynamics at excitatory synapses of rat hippocampus. Cogn. Neurodyn. 8(4), 277\u2013286 (2014). https:\/\/doi.org\/10.1007\/s11571-014-9283-3","journal-title":"Cogn. Neurodyn."},{"key":"10_CR3","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1007\/s00285-007-0131-5","volume":"56","author":"A Bielecki","year":"2008","unstructured":"Bielecki, A., Kalita, P.: Model of neurotransmitter fast transport in axon terminal of presynaptic neuron. J. Math. Biol. 56, 559\u2013576 (2008)","journal-title":"J. Math. Biol."},{"key":"10_CR4","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1016\/j.jmaa.2012.04.012","volume":"393","author":"A Bielecki","year":"2012","unstructured":"Bielecki, A., Kalita, P.: Dynamical properties of the reaction-diffusion type model of fast synaptic transport. J. Math. Anal. Appl. 393, 329\u2013340 (2012)","journal-title":"J. Math. Anal. Appl."},{"key":"10_CR5","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-91253-0_1","volume-title":"Artificial Intelligence and Soft Computing","author":"A Bielecki","year":"2018","unstructured":"Bielecki, A., Gierdziewicz, M., Kalita, P.: Three-dimensional model of signal processing in the Presynaptic Bouton of the neuron. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds.) ICAISC 2018. LNCS (LNAI), vol. 10841, pp. 3\u201314. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-91253-0_1"},{"key":"10_CR6","unstructured":"Bielecki, A., Gierdziewicz, M., Kalita, P.: Three-dimensional simulation of synaptic depression in axon terminal of stimulated neuron. In: KUKDM 2016, Ninth ACC Cyfronet AGH HPC Users\u2019 Conference, pp. 73\u201374. ACC Cyfronet AGH, Krak\u00f3w (2016). http:\/\/www.cyfronet.krakow.pl\/kdm16\/prezentacje\/s7_04_Gierdziewicz.pdf"},{"key":"10_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/978-3-319-46418-3_33","volume-title":"Computer Vision and Graphics","author":"A Bielecki","year":"2016","unstructured":"Bielecki, A., Gierdziewicz, M., Kalita, P., Szostek, K.: Construction of a 3D geometric model of a Presynaptic Bouton for use in modeling of neurotransmitter flow. In: Chmielewski, L.J., Datta, A., Kozera, R., Wojciechowski, K. (eds.) ICCVG 2016. LNCS, vol. 9972, pp. 377\u2013386. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46418-3_33"},{"issue":"1","key":"10_CR8","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.bbe.2019.02.001","volume":"40","author":"A Bielecki","year":"2020","unstructured":"Bielecki, A., Gierdziewicz, M., Kalita, P.: A study on efficiency of 3D partial differential diffusive model of presynaptic processes. Biocybernetics Biomed. Eng. 40(1), 100\u2013110 (2020). https:\/\/doi.org\/10.1016\/j.bbe.2019.02.001","journal-title":"Biocybernetics Biomed. Eng."},{"key":"10_CR9","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1007\/s00422-010-0380-z","volume":"102","author":"A Bielecki","year":"2010","unstructured":"Bielecki, A., Kalita, P., Lewandowski, M., Siwek, B.: Numerical simulation for a neurotransmitter transport model in the axon terminal of a presynaptic neuron. Biol. Cybern. 102, 489\u2013502 (2010)","journal-title":"Biol. Cybern."},{"key":"10_CR10","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1007\/s00422-008-0250-0","volume":"99","author":"A Bielecki","year":"2008","unstructured":"Bielecki, A., Kalita, P., Lewandowski, M., Skomorowski, M.: Compartment model of neuropeptide synaptic transport with impulse control. Biol. Cybern. 99, 443\u2013458 (2008)","journal-title":"Biol. Cybern."},{"key":"10_CR11","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s00285-004-0285-3","volume":"51","author":"A Friedman","year":"2005","unstructured":"Friedman, A., Craciun, G.: A model of intracellular transport of particles in an axon. J. Math. Biol. 51, 217\u2013246 (2005)","journal-title":"J. Math. Biol."},{"key":"10_CR12","doi-asserted-by":"crossref","unstructured":"Lobos C., Gonz\u00e1lez E.: Mixed-element octree: a meshing technique toward fast and real-time simulations in biomedical applications. Int. J. Numer. Methods Biomed. Eng. 31(12), article no. e02725, 24 p. (2015)","DOI":"10.1002\/cnm.2725"},{"key":"10_CR13","doi-asserted-by":"publisher","first-page":"101","DOI":"10.3389\/fncom.2014.00101","volume":"8","author":"MM Kn\u00f6del","year":"2014","unstructured":"Kn\u00f6del, M.M., et al.: Synaptic bouton properties are tuned to best fit the prevailing firing pattern. Front. Comput. Neurosci. 8, 101 (2014)","journal-title":"Front. Comput. Neurosci."},{"key":"10_CR14","unstructured":"Si, H.: TetGen: a quality tetrahedral mesh generator and 3D Delaunay triangulator, version 1.4 user manual. WIAS - Weierstrass Institute for Applied Analysis and Stochastics (WIAS) (2006)"},{"issue":"2","key":"10_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2629697","volume":"41","author":"H Si","year":"2015","unstructured":"Si, H.: TetGen, a Delaunay-based quality tetrahedral mesh generator. ACM Trans. Math. Softw. 41(2), 1\u201336 (2015)","journal-title":"ACM Trans. Math. Softw."},{"key":"10_CR16","first-page":"1","volume":"10","author":"R Tadeusiewicz","year":"2010","unstructured":"Tadeusiewicz, R.: New trends in neurocybernetics. Comput. Methods Mater. Sci. 10, 1\u20137 (2010)","journal-title":"Comput. Methods Mater. Sci."},{"key":"10_CR17","unstructured":"Wilhelm, B.: Stoichiometric biology of the synapse. Dissertation, Georg August University G\u00f6ttingen (2013)"},{"issue":"6187","key":"10_CR18","doi-asserted-by":"publisher","first-page":"1023","DOI":"10.1126\/science.1252884","volume":"344","author":"BG Wilhelm","year":"2014","unstructured":"Wilhelm, B.G., et al.: Composition of isolated synaptic boutons reveals the amounts of vesicle trafficking proteins. Science 344(6187), 1023\u20131028 (2014)","journal-title":"Science"},{"key":"10_CR19","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1016\/j.finel.2008.03.004","volume":"44","author":"Z Yu","year":"2008","unstructured":"Yu, Z., Holst, M.J., McCammon, J.A.: High-fidelity geometric modeling for biomedical applications. Finite Elem. Anal. Des. 44, 715\u2013723 (2008)","journal-title":"Finite Elem. Anal. Des."},{"key":"10_CR20","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.cmpb.2013.08.009","volume":"113","author":"Z Yu","year":"2014","unstructured":"Yu, Z., Wang, J., Gao, Z., Xu, M., Hoshijima, M.: New software developments for quality mesh generation and optimization from biomedical imaging data. Comput. Methods Programs Biomed. 113, 226\u2013240 (2014)","journal-title":"Comput. Methods Programs Biomed."}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-50420-5_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T23:18:36Z","timestamp":1718752716000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-50420-5_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030504199","9783030504205"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50420-5_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"15 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"230","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"98","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"43% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"248 workshop papers were selected from 489 submissions to the thematic tracks. The conference was canceled due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}