{"id":"https://openalex.org/W3096229607","doi":"https://doi.org/10.1109/icc42927.2021.9500809","title":"Receptor Saturation Modeling for Synaptic DMC","display_name":"Receptor Saturation Modeling for Synaptic DMC","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3096229607","doi":"https://doi.org/10.1109/icc42927.2021.9500809","mag":"3096229607"},"language":"en","primary_location":{"id":"doi:10.1109/icc42927.2021.9500809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2010.14828","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035817861","display_name":"Sebastian Lotter","orcid":"https://orcid.org/0000-0002-1922-2733"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sebastian Lotter","raw_affiliation_strings":["Friedrich-Alexander University Erlangen-Nuremberg, Germany"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander University Erlangen-Nuremberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074561882","display_name":"Maximilian Sch\u00e4fer","orcid":"https://orcid.org/0000-0002-3332-4701"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian Schafer","raw_affiliation_strings":["Friedrich-Alexander University Erlangen-Nuremberg, Germany"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander University Erlangen-Nuremberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032789917","display_name":"Johannes Zeitler","orcid":"https://orcid.org/0000-0003-2171-7679"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Zeitler","raw_affiliation_strings":["Friedrich-Alexander University Erlangen-Nuremberg, Germany"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander University Erlangen-Nuremberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033990377","display_name":"Robert Schober","orcid":"https://orcid.org/0000-0002-6420-4884"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Schober","raw_affiliation_strings":["Friedrich-Alexander University Erlangen-Nuremberg, Germany"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander University Erlangen-Nuremberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035817861"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":0.0846,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35010414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12236","display_name":"Photoreceptor and optogenetics research","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/molecular-communication","display_name":"Molecular communication","score":0.605995774269104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5895241498947144},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5677587389945984},{"id":"https://openalex.org/keywords/eigenfunction","display_name":"Eigenfunction","score":0.5117487907409668},{"id":"https://openalex.org/keywords/laplace-transform","display_name":"Laplace transform","score":0.4757142663002014},{"id":"https://openalex.org/keywords/postsynaptic-potential","display_name":"Postsynaptic potential","score":0.4685196578502655},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.4594901204109192},{"id":"https://openalex.org/keywords/boundary-value-problem","display_name":"Boundary value problem","score":0.42839592695236206},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.371093213558197},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3674423098564148},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21567904949188232},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2014739215373993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18766245245933533},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.16354498267173767},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1566430926322937},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1544172167778015},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.12330424785614014},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09134155511856079},{"id":"https://openalex.org/keywords/receptor","display_name":"Receptor","score":0.09028968214988708}],"concepts":[{"id":"https://openalex.org/C2779767902","wikidata":"https://www.wikidata.org/wiki/Q17037278","display_name":"Molecular communication","level":4,"score":0.605995774269104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5895241498947144},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5677587389945984},{"id":"https://openalex.org/C128803854","wikidata":"https://www.wikidata.org/wiki/Q1307821","display_name":"Eigenfunction","level":3,"score":0.5117487907409668},{"id":"https://openalex.org/C97937538","wikidata":"https://www.wikidata.org/wiki/Q199691","display_name":"Laplace transform","level":2,"score":0.4757142663002014},{"id":"https://openalex.org/C197341189","wikidata":"https://www.wikidata.org/wiki/Q863533","display_name":"Postsynaptic potential","level":3,"score":0.4685196578502655},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.4594901204109192},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.42839592695236206},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.371093213558197},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3674423098564148},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21567904949188232},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2014739215373993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18766245245933533},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.16354498267173767},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1566430926322937},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1544172167778015},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.12330424785614014},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09134155511856079},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.09028968214988708},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icc42927.2021.9500809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2010.14828","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.14828","pdf_url":"https://arxiv.org/pdf/2010.14828","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2010.14828","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.14828","pdf_url":"https://arxiv.org/pdf/2010.14828","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1493954816","https://openalex.org/W1964433270","https://openalex.org/W1983844815","https://openalex.org/W2017523889","https://openalex.org/W2059488492","https://openalex.org/W2075562222","https://openalex.org/W2089582580","https://openalex.org/W2090584164","https://openalex.org/W2120325697","https://openalex.org/W2124065115","https://openalex.org/W2169061810","https://openalex.org/W2245394571","https://openalex.org/W2255693475","https://openalex.org/W2260681306","https://openalex.org/W2334173195","https://openalex.org/W2462393420","https://openalex.org/W2477602157","https://openalex.org/W2480827119","https://openalex.org/W2519812045","https://openalex.org/W2619109450","https://openalex.org/W2737163725","https://openalex.org/W2766154334","https://openalex.org/W2911154862","https://openalex.org/W2945418547","https://openalex.org/W2953549290","https://openalex.org/W2967721503","https://openalex.org/W2979511940","https://openalex.org/W2992348107","https://openalex.org/W3028159032","https://openalex.org/W3039849396","https://openalex.org/W3046070542","https://openalex.org/W3098477036","https://openalex.org/W3103588088","https://openalex.org/W3131185098","https://openalex.org/W3152902396","https://openalex.org/W6777640038"],"related_works":["https://openalex.org/W2163496989","https://openalex.org/W2054910325","https://openalex.org/W3135645983","https://openalex.org/W3000508184","https://openalex.org/W1493890705","https://openalex.org/W2610758737","https://openalex.org/W2283480350","https://openalex.org/W2782595656","https://openalex.org/W2052126869","https://openalex.org/W2554633690"],"abstract_inverted_index":{"Synaptic":[0],"communication":[1],"is":[2,43,62,88,150,160],"a":[3,13,100,109],"natural":[4],"Molecular":[5],"Communication":[6],"(MC)":[7],"system":[8,84,141],"which":[9],"may":[10],"serve":[11],"as":[12,139],"blueprint":[14],"for":[15,46,79,103,114],"the":[16,50,56,65,69,74,83,120,129,133,136,143,157],"design":[17],"of":[18,40,52,59,68,76,108,128,135],"synthetic":[19],"MC":[20,42,61],"systems.":[21],"In":[22,95],"particular,":[23],"it":[24],"features":[25],"highly":[26],"specialized":[27],"mechanisms":[28],"to":[29],"enable":[30],"inter-symbol":[31],"interference":[32],"(ISI)-free":[33],"and":[34,87,132,153],"energy":[35],"efficient":[36],"communication.":[37],"The":[38,147],"understanding":[39],"synaptic":[41,60],"furthermore":[44],"critical":[45],"disruptive":[47],"innovations":[48],"in":[49,91,106],"context":[51],"brain-machine":[53],"interfaces.":[54],"However,":[55],"physical":[57],"modeling":[58],"complicated":[63],"by":[64],"possible":[66],"saturation":[67,105],"molecular":[70],"receiver":[71,137],"arising":[72],"from":[73],"competition":[75],"postsynaptic":[77],"receptors":[78],"neurotransmitters.":[80],"Saturation":[81],"renders":[82],"behavior":[85],"nonlinear":[86],"commonly":[89],"neglected":[90],"existing":[92],"analytical":[93],"models.":[94],"this":[96],"work,":[97],"we":[98],"propose":[99],"novel":[101],"model":[102,159],"receptor":[104],"terms":[107],"nonlinear,":[110],"state-dependent":[111],"boundary":[112],"condition":[113],"Fick\u2019s":[115],"diffusion":[116],"equation.":[117],"We":[118],"solve":[119],"resulting":[121],"boundary-value":[122],"problem":[123],"using":[124],"an":[125],"eigenfunction":[126],"expansion":[127],"Laplace":[130],"operator":[131],"incorporation":[134],"memory":[138],"feedback":[140],"into":[142],"corresponding":[144],"state-space":[145],"description.":[146],"presented":[148],"solution":[149],"numerically":[151],"stable":[152],"computationally":[154],"efficient.":[155],"Furthermore,":[156],"proposed":[158],"validated":[161],"with":[162],"particle-based":[163],"stochastic":[164],"computer":[165],"simulations.":[166]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}