{"id":"https://openalex.org/W2887532882","doi":"https://doi.org/10.1145/3233188.3233190","title":"Molecular circuit for approximate maximum a posteriori demodulation of concentration modulated signals","display_name":"Molecular circuit for approximate maximum a posteriori demodulation of concentration modulated signals","publication_year":2018,"publication_date":"2018-08-30","ids":{"openalex":"https://openalex.org/W2887532882","doi":"https://doi.org/10.1145/3233188.3233190","mag":"2887532882"},"language":"en","primary_location":{"id":"doi:10.1145/3233188.3233190","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3233188.3233190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM International Conference on Nanoscale Computing and Communication","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045942593","display_name":"Chun Tung Chou","orcid":"https://orcid.org/0000-0003-4512-7155"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Chun Tung Chou","raw_affiliation_strings":["University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045942593"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.4358,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60820902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"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":0.9943000078201294,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9889000058174133,"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/demodulation","display_name":"Demodulation","score":0.9290351271629333},{"id":"https://openalex.org/keywords/molecular-communication","display_name":"Molecular communication","score":0.7540907263755798},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5839681625366211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5626611709594727},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.528602123260498},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5167462229728699},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5014359951019287},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4533311128616333},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.44584572315216064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3501952290534973},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17655068635940552},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15947648882865906}],"concepts":[{"id":"https://openalex.org/C195251586","wikidata":"https://www.wikidata.org/wiki/Q1185939","display_name":"Demodulation","level":3,"score":0.9290351271629333},{"id":"https://openalex.org/C2779767902","wikidata":"https://www.wikidata.org/wiki/Q17037278","display_name":"Molecular communication","level":4,"score":0.7540907263755798},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5839681625366211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5626611709594727},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.528602123260498},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5167462229728699},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5014359951019287},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4533311128616333},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.44584572315216064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3501952290534973},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17655068635940552},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15947648882865906},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3233188.3233190","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3233188.3233190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM International Conference on Nanoscale Computing and Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1976625337","https://openalex.org/W1992182416","https://openalex.org/W1993546274","https://openalex.org/W2000804241","https://openalex.org/W2093072521","https://openalex.org/W2111843456","https://openalex.org/W2115084976","https://openalex.org/W2116194016","https://openalex.org/W2143177102","https://openalex.org/W2168002711","https://openalex.org/W2477731233","https://openalex.org/W2545779952","https://openalex.org/W2761811715","https://openalex.org/W2778051563","https://openalex.org/W2962740129","https://openalex.org/W3100991707","https://openalex.org/W4213388037"],"related_works":["https://openalex.org/W2752669490","https://openalex.org/W4386212476","https://openalex.org/W2150853451","https://openalex.org/W2919167754","https://openalex.org/W2997185736","https://openalex.org/W4212960144","https://openalex.org/W2338475247","https://openalex.org/W2944602615","https://openalex.org/W4214831766","https://openalex.org/W2950822845"],"abstract_inverted_index":{"This":[0,45],"paper":[1],"builds":[2],"on":[3,7],"our":[4],"earlier":[5],"work":[6,46],"designing":[8],"demodulators":[9],"for":[10],"diffusion-based":[11],"molecular":[12,55,143],"communication":[13],"using":[14,54],"a":[15,35,58,77,83,94],"Markovian":[16],"approach.":[17],"The":[18],"demodulation":[19,52,155],"filters":[20,53,72,81],"take":[21],"the":[22,39,48,74,86,110,114,117,129,138,141,149,154,158],"form":[23],"of":[24,33,42,50,60,76,85,140],"an":[25],"ordinary":[26],"differential":[27],"equation":[28],"which":[29],"computes":[30],"log-posteriori":[31,150,159],"probability":[32,151,160],"observing":[34],"transmission":[36],"symbol":[37],"given":[38],"continuous":[40],"history":[41],"receptor":[43],"activities.":[44],"considers":[47],"realisation":[49],"these":[51,71,80],"circuits,":[56],"i.e.":[57],"set":[59],"chemical":[61],"reactions.":[62],"There":[63],"are":[64],"two":[65],"key":[66],"issues":[67],"to":[68,92,96,108,148],"overcome.":[69],"First,":[70],"require":[73,82],"computation":[75],"derivative.":[78],"Second,":[79],"model":[84],"expected":[87,99,130],"signal":[88,131],"and":[89],"one":[90],"needs":[91],"derive":[93],"method":[95],"encode":[97],"this":[98,102],"signal.":[100],"In":[101],"paper,":[103],"we":[104,126],"use":[105],"time-scale":[106],"separation":[107],"handle":[109],"derivative":[111],"computation.":[112],"For":[113],"case":[115],"where":[116],"transmitter":[118],"uses":[119],"rectangular":[120],"pulses":[121],"as":[122],"its":[123],"transmitting":[124],"symbols,":[125],"show":[127,136],"how":[128],"can":[132],"be":[133],"encoded.":[134],"We":[135],"that":[137],"output":[139],"derived":[142],"circuit":[144],"is":[145,161],"approximately":[146],"equal":[147],"calculated":[152],"by":[153],"filter":[156],"if":[157],"positive.":[162]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}