{"id":"https://openalex.org/W4225377446","doi":"https://doi.org/10.1145/3517343.3517349","title":"Efficient Optimized Spike Encoding of Multivariate Time-series","display_name":"Efficient Optimized Spike Encoding of Multivariate Time-series","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4225377446","doi":"https://doi.org/10.1145/3517343.3517349"},"language":"en","primary_location":{"id":"doi:10.1145/3517343.3517349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3517343.3517349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuro-Inspired Computational Elements Conference","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/A5082811476","display_name":"Dighanchal Banerjee","orcid":"https://orcid.org/0000-0003-2216-2863"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dighanchal Banerjee","raw_affiliation_strings":["Embedded Devices & Intelligent Systems, TCS Research, India"],"affiliations":[{"raw_affiliation_string":"Embedded Devices & Intelligent Systems, TCS Research, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047256071","display_name":"Sounak Dey","orcid":"https://orcid.org/0000-0001-6704-6810"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sounak Dey","raw_affiliation_strings":["Embedded Devices & Intelligent Systems, TCS Research, India"],"affiliations":[{"raw_affiliation_string":"Embedded Devices & Intelligent Systems, TCS Research, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051731709","display_name":"Arun M. George","orcid":"https://orcid.org/0000-0003-0763-8499"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arun M. George","raw_affiliation_strings":["Embedded Devices & Intelligent Systems, TCS Research, India"],"affiliations":[{"raw_affiliation_string":"Embedded Devices & Intelligent Systems, TCS Research, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031139197","display_name":"Arijit Mukherjee","orcid":"https://orcid.org/0000-0001-5052-4476"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arijit Mukherjee","raw_affiliation_strings":["Embedded Devices & Intelligent Systems, TCS Research, India"],"affiliations":[{"raw_affiliation_string":"Embedded Devices & Intelligent Systems, TCS Research, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082811476"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.796,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75937252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10581","display_name":"Neural dynamics and brain function","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive 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/spike","display_name":"Spike (software development)","score":0.8146284818649292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7927365303039551},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.7503318190574646},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6801597476005554},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6154122352600098},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5600449442863464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.517147958278656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47690677642822266},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.47263285517692566},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42799222469329834},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4126697778701782},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38633719086647034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3404340147972107}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.8146284818649292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7927365303039551},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7503318190574646},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6801597476005554},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6154122352600098},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5600449442863464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.517147958278656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47690677642822266},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.47263285517692566},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42799222469329834},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4126697778701782},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38633719086647034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3404340147972107},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3517343.3517349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3517343.3517349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuro-Inspired Computational Elements Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W149993170","https://openalex.org/W1878915617","https://openalex.org/W2027862571","https://openalex.org/W2052114318","https://openalex.org/W2066640794","https://openalex.org/W2093615513","https://openalex.org/W2095858069","https://openalex.org/W2103179919","https://openalex.org/W2105580042","https://openalex.org/W2145812612","https://openalex.org/W2162800060","https://openalex.org/W2781779866","https://openalex.org/W2809338893","https://openalex.org/W2914552685","https://openalex.org/W2941300701","https://openalex.org/W2945308847","https://openalex.org/W2976523354","https://openalex.org/W2980481100","https://openalex.org/W3081864884","https://openalex.org/W3090857937","https://openalex.org/W3095212293","https://openalex.org/W3099212545","https://openalex.org/W3192026935","https://openalex.org/W3217350819"],"related_works":["https://openalex.org/W1995805316","https://openalex.org/W2542565870","https://openalex.org/W4306175885","https://openalex.org/W4312604567","https://openalex.org/W4387390134","https://openalex.org/W2165312143","https://openalex.org/W4251092571","https://openalex.org/W4297619707","https://openalex.org/W2583316550","https://openalex.org/W3110622310"],"abstract_inverted_index":{"Spiking":[0],"neural":[1],"network":[2,86],"(SNN)":[3],"are":[4,44],"emerging":[5],"as":[6],"a":[7,56,75],"bio-plausible":[8],"AI":[9],"paradigm":[10],"best":[11],"suited":[12],"for":[13],"energy":[14],"constrained":[15],"edge":[16],"use":[17],"case.":[18],"However":[19],"the":[20,27,31,79,85],"performance":[21,87],"of":[22,30,62,102],"SNNs":[23],"largely":[24],"depends":[25],"upon":[26],"information":[28,58],"content":[29],"spike":[32,40,63],"trains":[33],"generated":[34],"from":[35],"real":[36],"valued":[37],"data":[38,99],"by":[39,88],"encoders":[41],"-":[42],"which":[43],"often":[45],"found":[46,82],"to":[47,65,83],"be":[48,66],"lossy.":[49],"In":[50],"this":[51],"work,":[52],"we":[53],"have":[54],"proposed":[55],"mutual":[57],"based":[59],"optimisation":[60],"technique":[61,80],"encoding":[64],"used":[67],"on":[68,95],"multivariate":[69,97],"time-series":[70],"data.":[71],"When":[72],"tested":[73],"using":[74],"spiking":[76],"reservoir":[77],"network,":[78],"is":[81],"increase":[84],"upto":[89],"6%":[90],"while":[91],"performing":[92],"classification":[93],"task":[94],"different":[96],"sensor":[98],"having":[100],"variety":[101],"attributes.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}