[{"data":1,"prerenderedAt":92},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-389ef2aa6142031e289d0691-edb99c1a":3},{"edges":4,"entity":16,"fingerprint":46,"generatedAt":47,"neighbors":48,"schemaVersion":91},[5],{"evidence":6,"evidenceClass":11,"from":12,"id":13,"relation":14,"to":15},{"dataset":7,"field":8,"sourceId":9,"url":10},"german-ai-research-to-transfer-index","cordis_project_code","101140052:output:389ef2aa6142031e289d0691","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101140052","exact","cordis:101140052","edge:project-output:101140052:389ef2aa6142031e289d0691","has_observed_output","output:389ef2aa6142031e289d0691",{"attributes":17,"edgeCount":30,"id":15,"indexable":19,"label":31,"links":32,"slug":41,"sourceRefs":42,"type":45},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":29},0,true,"doi_dedup___::259593d56637c249f392764d177062ae","publication",[23,26],{"scheme":24,"value":25},"doi","10.1109\u002Fjsen.2024.3487021",{"scheme":27,"value":28},"handle","11584\u002F427286","2024-12-15",1,"Low-Power FPGA-Based Spiking Neural Networks for Real-Time Decoding of Intracortical Neural Activity",[33,37],{"kind":34,"label":35,"url":36},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A259593d56637c249f392764d177062ae",{"kind":38,"label":39,"url":40},"persistent_identifier","DOI 10.1109\u002Fjsen.2024.3487021","https:\u002F\u002Fdoi.org\u002F10.1109\u002Fjsen.2024.3487021","output-389ef2aa6142031e289d0691-edb99c1a",[43],{"dataset":7,"field":44,"sourceId":20,"url":36},"openaire_research_product_id","output","sha256:c9aecd09ee3c8dad3bba1f91706ba5cf626e0f6b4bc166bc923a8e6c08dd0b53","2026-10-01T04:36:13.695Z",[49],{"attributes":50,"description":75,"edgeCount":76,"id":12,"indexable":19,"label":77,"links":78,"slug":85,"sourceRefs":86,"type":90},{"acronym":51,"code":52,"endDate":53,"frameworkProgramme":54,"funding":55,"knowledgeFlow":60,"research":68,"startDate":74},"H2TRAIN","101140052","2027-04-30","HORIZON",{"currency":56,"germanNetEuContributionCents":57,"participantEdgeCount":58,"status":59},"EUR","77452275",7,"linked",{"citingCountryCount":61,"citingInstitutionCount":62,"distinctCitingWorkCount":63,"firstObservedCitationDate":64,"lastObservedCitationDate":65,"observedCitationEdgeCount":66,"status":67},21,72,43,"2025-01-01","2026-09-14",50,"full_input_observation",{"citationDataOutputCount":69,"citedOutputCount":70,"firstPublicationDate":29,"lastPublicationDate":71,"openAccessOutputCount":69,"outputCount":69,"status":59,"totalCitations":72,"typeCounts":73},15,2,"2026-01-01",12,{"dataset":18,"other":18,"publication":69,"software":18},"2024-05-01","Enabling digital technologies for Holistic Health-lifestyle motivational and assisTed supeRvision supported by Artificial Intelligence Networks",19,"H2TRAIN · Enabling digital technologies for Holistic Health-lifestyle motivational and assisTed supeRvision supported by Artificial Intelligence Networks",[79,81],{"kind":34,"label":80,"url":10},"CORDIS",{"kind":82,"label":83,"url":84},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101140052","project-cordis-101140052-2a6096c1",[87],{"dataset":88,"field":89,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1790829840027]