{"id":"https://openalex.org/W3052094937","doi":"https://doi.org/10.1371/journal.pcbi.1008018","title":"Visual perception of liquids: Insights from deep neural networks","display_name":"Visual perception of liquids: Insights from deep neural networks","publication_year":2020,"publication_date":"2020-08-19","ids":{"openalex":"https://openalex.org/W3052094937","doi":"https://doi.org/10.1371/journal.pcbi.1008018","mag":"3052094937","pmid":"https://pubmed.ncbi.nlm.nih.gov/32813688"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1008018","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1008018","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008018&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008018&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039931049","display_name":"Jan Jaap R. van Assen","orcid":"https://orcid.org/0000-0002-3315-1986"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jan Jaap R. van Assen","raw_affiliation_strings":["Human Information Science Laboratory, NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Atsugi, Kanagawa, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3315-1986","affiliations":[{"raw_affiliation_string":"Human Information Science Laboratory, NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Atsugi, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102989550","display_name":"Shin\u2019ya Nishida","orcid":"https://orcid.org/0000-0002-5098-4752"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin\u2019ya Nishida","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto, Japan","Human Information Science Laboratory, NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Atsugi, Kanagawa, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5098-4752","affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Human Information Science Laboratory, NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Atsugi, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048566788","display_name":"Roland W. Fleming","orcid":"https://orcid.org/0000-0001-5033-5069"},"institutions":[{"id":"https://openalex.org/I200763008","display_name":"Justus-Liebig-Universit\u00e4t Gie\u00dfen","ror":"https://ror.org/033eqas34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200763008"]},{"id":"https://openalex.org/I4210113520","display_name":"Brain (Germany)","ror":"https://ror.org/01gamcy45","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210113520"]},{"id":"https://openalex.org/I4210148049","display_name":"Giessen School of Theology","ror":"https://ror.org/03kzgcv48","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210148049"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roland W. Fleming","raw_affiliation_strings":["Centre for Mind, Brain and Behaviour (CMBB), University of Marburg and Justus Liebig University, Giessen, Germany","Department of Experimental Psychology, University of Giessen, Giessen, Hessen, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5033-5069","affiliations":[{"raw_affiliation_string":"Centre for Mind, Brain and Behaviour (CMBB), University of Marburg and Justus Liebig University, Giessen, Germany","institution_ids":["https://openalex.org/I200763008","https://openalex.org/I4210113520"]},{"raw_affiliation_string":"Department of Experimental Psychology, University of Giessen, Giessen, Hessen, Germany","institution_ids":["https://openalex.org/I4210148049","https://openalex.org/I200763008"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039931049"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":1.8193,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.85079402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"8","first_page":"e1008018","last_page":"e1008018"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9950000047683716,"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"}},"topics":[{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9950000047683716,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9884999990463257,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.684101402759552},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6760276556015015},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6223046779632568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5527271628379822},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.47477006912231445},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.45267319679260254},{"id":"https://openalex.org/keywords/viscosity","display_name":"Viscosity","score":0.4517017900943756},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4483003318309784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44008970260620117},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.43304699659347534},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.42970210313796997},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.4132061302661896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36769434809684753},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12610286474227905},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09421339631080627},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09010693430900574},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.07770967483520508}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.684101402759552},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6760276556015015},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6223046779632568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5527271628379822},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.47477006912231445},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.45267319679260254},{"id":"https://openalex.org/C127172972","wikidata":"https://www.wikidata.org/wiki/Q128709","display_name":"Viscosity","level":2,"score":0.4517017900943756},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4483003318309784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44008970260620117},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.43304699659347534},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.42970210313796997},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4132061302661896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36769434809684753},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12610286474227905},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09421339631080627},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09010693430900574},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.07770967483520508},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"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/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014783","descriptor_name":"Viscosity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014783","descriptor_name":"Viscosity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014783","descriptor_name":"Viscosity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014783","descriptor_name":"Viscosity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1371/journal.pcbi.1008018","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1008018","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008018&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:32813688","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32813688","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:doaj.org/article:24b0ba8763f44117b0fe6b1b775e61e9","is_oa":true,"landing_page_url":"https://doaj.org/article/24b0ba8763f44117b0fe6b1b775e61e9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 16, Iss 8, p e1008018 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7437867","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7437867","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1008018","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1008018","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008018&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1117616114","display_name":null,"funder_award_id":"ERC-CoG-2015-682859","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"},{"id":"https://openalex.org/G1646738102","display_name":"Developing models to simulate information processing and internal representations of human visual motion perception","funder_award_id":"20H00603","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2169384233","display_name":null,"funder_award_id":"TP C1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G4206932539","display_name":null,"funder_award_id":"JP15H05915","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4252348357","display_name":null,"funder_award_id":"222641018\u2013SFB/ TRR 135 TP C1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6421489744","display_name":null,"funder_award_id":"TRR 135","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8240828210","display_name":null,"funder_award_id":"222641018","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3052094937.pdf","grobid_xml":"https://content.openalex.org/works/W3052094937.grobid-xml"},"referenced_works_count":111,"referenced_works":["https://openalex.org/W1190887536","https://openalex.org/W1532257412","https://openalex.org/W1565206031","https://openalex.org/W1686810756","https://openalex.org/W1715013381","https://openalex.org/W1971017968","https://openalex.org/W1979741733","https://openalex.org/W1990037101","https://openalex.org/W2003613830","https://openalex.org/W2016053056","https://openalex.org/W2017108196","https://openalex.org/W2025175823","https://openalex.org/W2040036684","https://openalex.org/W2048092465","https://openalex.org/W2057307785","https://openalex.org/W2062118960","https://openalex.org/W2065131936","https://openalex.org/W2069281566","https://openalex.org/W2074401945","https://openalex.org/W2080579153","https://openalex.org/W2081939415","https://openalex.org/W2098009537","https://openalex.org/W2108992228","https://openalex.org/W2116360511","https://openalex.org/W2117062684","https://openalex.org/W2123020895","https://openalex.org/W2126810579","https://openalex.org/W2127006916","https://openalex.org/W2131681506","https://openalex.org/W2145889472","https://openalex.org/W2149879708","https://openalex.org/W2149933564","https://openalex.org/W2151035455","https://openalex.org/W2160654481","https://openalex.org/W2162950292","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2203368333","https://openalex.org/W2343204383","https://openalex.org/W2397214077","https://openalex.org/W2412480261","https://openalex.org/W2492109573","https://openalex.org/W2510153535","https://openalex.org/W2540761561","https://openalex.org/W2566494569","https://openalex.org/W2619082050","https://openalex.org/W2619947201","https://openalex.org/W2662969263","https://openalex.org/W2738450183","https://openalex.org/W2768607686","https://openalex.org/W2772005518","https://openalex.org/W2783879794","https://openalex.org/W2787041204","https://openalex.org/W2788388592","https://openalex.org/W2792641098","https://openalex.org/W2804935296","https://openalex.org/W2883429621","https://openalex.org/W2888339491","https://openalex.org/W2892147425","https://openalex.org/W2898422183","https://openalex.org/W2903142248","https://openalex.org/W2903727631","https://openalex.org/W2904243021","https://openalex.org/W2919186660","https://openalex.org/W2940427603","https://openalex.org/W2942630857","https://openalex.org/W2942810103","https://openalex.org/W2949512190","https://openalex.org/W2949558627","https://openalex.org/W2951884431","https://openalex.org/W2951940613","https://openalex.org/W2953310191","https://openalex.org/W2962785568","https://openalex.org/W2962802170","https://openalex.org/W2963138386","https://openalex.org/W2963305465","https://openalex.org/W2963524571","https://openalex.org/W2967289914","https://openalex.org/W2970115835","https://openalex.org/W2971028215","https://openalex.org/W2976501124","https://openalex.org/W2978238437","https://openalex.org/W2996309822","https://openalex.org/W3009812836","https://openalex.org/W3013386261","https://openalex.org/W3015197446","https://openalex.org/W3016017068","https://openalex.org/W3016970897","https://openalex.org/W3099768174","https://openalex.org/W3157521173","https://openalex.org/W4287864853","https://openalex.org/W4288337581","https://openalex.org/W4288359148","https://openalex.org/W4294214781","https://openalex.org/W4295224294","https://openalex.org/W4297790299","https://openalex.org/W4297812480","https://openalex.org/W4299518610","https://openalex.org/W6662878164","https://openalex.org/W6678463710","https://openalex.org/W6687483927","https://openalex.org/W6701573534","https://openalex.org/W6725762072","https://openalex.org/W6749155112","https://openalex.org/W6752381671","https://openalex.org/W6756630351","https://openalex.org/W6771740131","https://openalex.org/W6775903316","https://openalex.org/W6776040976","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2081982437","https://openalex.org/W2027050655","https://openalex.org/W3028244590","https://openalex.org/W2115072676","https://openalex.org/W4311212821","https://openalex.org/W2045727192","https://openalex.org/W1529660427","https://openalex.org/W2102065768","https://openalex.org/W4390752998","https://openalex.org/W2158578859"],"abstract_inverted_index":{"Visually":[0],"inferring":[1],"material":[2],"properties":[3],"is":[4,39,143,270],"crucial":[5,272],"for":[6,14,44,129,217,222],"many":[7,233],"tasks,":[8],"yet":[9],"poses":[10],"significant":[11],"computational":[12],"challenges":[13],"biological":[15,278],"vision.":[16],"Liquids":[17],"and":[18,28,35,89,173,221],"gels":[19],"are":[20,205,213],"particularly":[21,214],"challenging":[22,64],"due":[23],"to":[24,69,97,191],"their":[25],"extreme":[26],"variability":[27],"complex":[29,49],"behaviour.":[30],"We":[31,93,121,163,196],"reasoned":[32],"that":[33,123,204,267],"measuring":[34],"modelling":[36],"viscosity":[37,100,151,219],"perception":[38,160],"a":[40,95,124,174,199,250,271],"useful":[41],"case":[42],"study":[43],"identifying":[45],"general":[46],"principles":[47],"of":[48,87,101,149,176,188,194,202,226,253],"visual":[50],"inferences.":[51],"In":[52],"recent":[53],"years,":[54],"artificial":[55,276],"Deep":[56],"Neural":[57],"Networks":[58],"(DNNs)":[59],"have":[60],"yielded":[61],"breakthroughs":[62],"in":[63,113,261],"real-world":[65],"vision":[66],"tasks.":[67],"However,":[68],"model":[70,148],"human":[71,150,159,227],"vision,":[72],"the":[73,84,99,144,165,223,240,246],"emphasis":[74],"lies":[75],"not":[76],"on":[77,82,264],"best":[78],"possible":[79],"performance,":[80,258],"but":[81,157,211,259],"mimicking":[83],"specific":[85,192,224],"pattern":[86,225],"successes":[88],"errors":[90],"humans":[91],"make.":[92],"trained":[94,128,243],"DNN":[96],"estimate":[98],"liquids":[102,107],"using":[103,168],"100.000":[104],"simulations":[105],"depicting":[106],"with":[108,249],"sixteen":[109],"different":[110,115],"viscosities":[111],"interacting":[112],"ten":[114],"scenes":[116],"(stirring,":[117],"pouring,":[118],"splashing,":[119],"etc).":[120],"find":[122,198],"shallow":[125],"feedforward":[126],"network":[127,241,268],"only":[130],"30":[131],"epochs":[132],"predicts":[133],"mean":[134],"observer":[135],"performance":[136],"better":[137],"than":[138],"most":[139],"individual":[140],"observers.":[141],"This":[142,185],"first":[145],"successful":[146],"image-computable":[147],"perception.":[152],"Further":[153],"training":[154],"improved":[155],"accuracy,":[156],"predicted":[158],"less":[161],"well.":[162],"analysed":[164],"network's":[166],"features":[167],"representational":[169],"similarity":[170],"analysis":[171],"(RSA)":[172],"range":[175],"image":[177],"descriptors":[178],"(e.g.":[179],"optic":[180],"flow,":[181],"colour":[182],"saturation,":[183],"GIST).":[184],"revealed":[186],"clusters":[187],"units":[189,203,254],"sensitive":[190],"classes":[193],"feature.":[195],"also":[197],"distinct":[200,234],"population":[201],"poorly":[206],"explained":[207],"by":[208],"hand-engineered":[209],"features,":[210],"which":[212,239],"important":[215],"both":[216],"physical":[218],"estimation,":[220],"responses.":[228],"The":[229],"final":[230],"layers":[231],"represent":[232],"stimulus":[235],"characteristics-not":[236],"just":[237],"viscosity,":[238,265],"was":[242],"on.":[244],"Retraining":[245],"fully-connected":[247],"layer":[248],"reduced":[251],"number":[252],"achieves":[255],"practically":[256],"identical":[257],"results":[260],"representations":[262],"focused":[263],"suggesting":[266],"capacity":[269],"parameter":[273],"determining":[274],"whether":[275],"or":[277],"neural":[279],"networks":[280],"use":[281],"distributed":[282],"vs.":[283],"localized":[284],"representations.":[285]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}