Modelling trajectories from choice reaching experiments through submovement decomposition Article Swipe
Dietmar Heinke
,
Joshua J. Liddy
,
Lily Porat
,
Joo‐Hyun Song
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1167/jov.21.9.2711
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1167/jov.21.9.2711
Previous studies have shown that reaching movements can be influenced by attentional selection processes. Critical evidence for this effect stems from reach trajectories in colour-oddity tasks. These experiments showed that the modulation of reach curvature is linked to colour priming—i.e., colour repetitions lead to smaller curvatures compared to trials where the target colour switches (e.g., Song & Nakayama, 2008; Moher & Song, 2016). Following this evidence, Heinke and colleagues developed a neurologically inspired robotics model for colour priming (Strauss et al., 2015). Critically, the model shows that attentional selection processes easily leak into movement planning causing the curvature effect. Here, we capture this leakage effect through the assumption that reaching movements are composed of submovements (e.g., Flash & Henis, 1991; Friedman, Brown, & Finkbeiner, 2013). Submovements are defined as discrete, ballistic movements with predetermined amplitude, direction, and duration prior to their onset. Each submovement is a straight-line trajectory but their superposition can create a curved trajectory. Friedman et al. (2013) showed that perceptual decision-making processes are reflected in submovements. In this research, we demonstrate that submovements provide deeper insights into the curvature effect. For instance, we found that switch trials are characterized by more submovements. Hence, submovement decomposition reflected attentional selection processes in choice reaching tasks. Future work will aim to analyse the timing of submovements e.g., at what point of time the submovements which create the curved trajectories occur. These timings should reflect the timing of attentional selection.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1167/jov.21.9.2711
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3197205955
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3197205955Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1167/jov.21.9.2711Digital Object Identifier
- Title
-
Modelling trajectories from choice reaching experiments through submovement decompositionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-09-01Full publication date if available
- Authors
-
Dietmar Heinke, Joshua J. Liddy, Lily Porat, Joo‐Hyun SongList of authors in order
- Landing page
-
https://doi.org/10.1167/jov.21.9.2711Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1167/jov.21.9.2711Direct OA link when available
- Concepts
-
Psychology, Perception, Priming (agriculture), Cognitive psychology, Selection (genetic algorithm), Perspective (graphical), Curvature, Neuroscience, Artificial intelligence, Communication, Computer science, Biology, Germination, Mathematics, Geometry, BotanyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3197205955 |
|---|---|
| doi | https://doi.org/10.1167/jov.21.9.2711 |
| ids.doi | https://doi.org/10.1167/jov.21.9.2711 |
| ids.mag | 3197205955 |
| ids.openalex | https://openalex.org/W3197205955 |
| fwci | 0.0 |
| type | article |
| title | Modelling trajectories from choice reaching experiments through submovement decomposition |
| awards[0].id | https://openalex.org/G7875006277 |
| awards[0].funder_id | https://openalex.org/F4320334630 |
| awards[0].display_name | |
| awards[0].funder_award_id | ES/T002409/1 |
| awards[0].funder_display_name | Economic and Social Research Council |
| biblio.issue | 9 |
| biblio.volume | 21 |
| biblio.last_page | 2711 |
| biblio.first_page | 2711 |
| topics[0].id | https://openalex.org/T10982 |
| topics[0].field.id | https://openalex.org/fields/28 |
| topics[0].field.display_name | Neuroscience |
| topics[0].score | 0.9896000027656555 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2805 |
| topics[0].subfield.display_name | Cognitive Neuroscience |
| topics[0].display_name | Motor Control and Adaptation |
| topics[1].id | https://openalex.org/T10427 |
| topics[1].field.id | https://openalex.org/fields/28 |
| topics[1].field.display_name | Neuroscience |
| topics[1].score | 0.9800000190734863 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2805 |
| topics[1].subfield.display_name | Cognitive Neuroscience |
| topics[1].display_name | Visual perception and processing mechanisms |
| topics[2].id | https://openalex.org/T10042 |
| topics[2].field.id | https://openalex.org/fields/28 |
| topics[2].field.display_name | Neuroscience |
| topics[2].score | 0.9742000102996826 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2805 |
| topics[2].subfield.display_name | Cognitive Neuroscience |
| topics[2].display_name | Neural and Behavioral Psychology Studies |
| funders[0].id | https://openalex.org/F4320334630 |
| funders[0].ror | https://ror.org/03n0ht308 |
| funders[0].display_name | Economic and Social Research Council |
| is_xpac | False |
| apc_list.value | 1850 |
| apc_list.currency | USD |
| apc_list.value_usd | 1850 |
| apc_paid.value | 1850 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1850 |
| concepts[0].id | https://openalex.org/C15744967 |
| concepts[0].level | 0 |
| concepts[0].score | 0.691830039024353 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[0].display_name | Psychology |
| concepts[1].id | https://openalex.org/C26760741 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5701700448989868 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q160402 |
| concepts[1].display_name | Perception |
| concepts[2].id | https://openalex.org/C81444415 |
| concepts[2].level | 3 |
| concepts[2].score | 0.5460713505744934 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q7243535 |
| concepts[2].display_name | Priming (agriculture) |
| concepts[3].id | https://openalex.org/C180747234 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5182681083679199 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q23373 |
| concepts[3].display_name | Cognitive psychology |
| concepts[4].id | https://openalex.org/C81917197 |
| concepts[4].level | 2 |
| concepts[4].score | 0.47043320536613464 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q628760 |
| concepts[4].display_name | Selection (genetic algorithm) |
| concepts[5].id | https://openalex.org/C12713177 |
| concepts[5].level | 2 |
| concepts[5].score | 0.42853185534477234 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1900281 |
| concepts[5].display_name | Perspective (graphical) |
| concepts[6].id | https://openalex.org/C195065555 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4172510802745819 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q214881 |
| concepts[6].display_name | Curvature |
| concepts[7].id | https://openalex.org/C169760540 |
| concepts[7].level | 1 |
| concepts[7].score | 0.3990500569343567 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q207011 |
| concepts[7].display_name | Neuroscience |
| concepts[8].id | https://openalex.org/C154945302 |
| concepts[8].level | 1 |
| concepts[8].score | 0.36899369955062866 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[8].display_name | Artificial intelligence |
| concepts[9].id | https://openalex.org/C46312422 |
| concepts[9].level | 1 |
| concepts[9].score | 0.3431069850921631 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11024 |
| concepts[9].display_name | Communication |
| concepts[10].id | https://openalex.org/C41008148 |
| concepts[10].level | 0 |
| concepts[10].score | 0.20135918259620667 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[10].display_name | Computer science |
| concepts[11].id | https://openalex.org/C86803240 |
| concepts[11].level | 0 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[11].display_name | Biology |
| concepts[12].id | https://openalex.org/C100701293 |
| concepts[12].level | 2 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q193838 |
| concepts[12].display_name | Germination |
| concepts[13].id | https://openalex.org/C33923547 |
| concepts[13].level | 0 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[13].display_name | Mathematics |
| concepts[14].id | https://openalex.org/C2524010 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[14].display_name | Geometry |
| concepts[15].id | https://openalex.org/C59822182 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q441 |
| concepts[15].display_name | Botany |
| keywords[0].id | https://openalex.org/keywords/psychology |
| keywords[0].score | 0.691830039024353 |
| keywords[0].display_name | Psychology |
| keywords[1].id | https://openalex.org/keywords/perception |
| keywords[1].score | 0.5701700448989868 |
| keywords[1].display_name | Perception |
| keywords[2].id | https://openalex.org/keywords/priming |
| keywords[2].score | 0.5460713505744934 |
| keywords[2].display_name | Priming (agriculture) |
| keywords[3].id | https://openalex.org/keywords/cognitive-psychology |
| keywords[3].score | 0.5182681083679199 |
| keywords[3].display_name | Cognitive psychology |
| keywords[4].id | https://openalex.org/keywords/selection |
| keywords[4].score | 0.47043320536613464 |
| keywords[4].display_name | Selection (genetic algorithm) |
| keywords[5].id | https://openalex.org/keywords/perspective |
| keywords[5].score | 0.42853185534477234 |
| keywords[5].display_name | Perspective (graphical) |
| keywords[6].id | https://openalex.org/keywords/curvature |
| keywords[6].score | 0.4172510802745819 |
| keywords[6].display_name | Curvature |
| keywords[7].id | https://openalex.org/keywords/neuroscience |
| keywords[7].score | 0.3990500569343567 |
| keywords[7].display_name | Neuroscience |
| keywords[8].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[8].score | 0.36899369955062866 |
| keywords[8].display_name | Artificial intelligence |
| keywords[9].id | https://openalex.org/keywords/communication |
| keywords[9].score | 0.3431069850921631 |
| keywords[9].display_name | Communication |
| keywords[10].id | https://openalex.org/keywords/computer-science |
| keywords[10].score | 0.20135918259620667 |
| keywords[10].display_name | Computer science |
| language | en |
| locations[0].id | doi:10.1167/jov.21.9.2711 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S137468011 |
| locations[0].source.issn | 1534-7362 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1534-7362 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Journal of Vision |
| locations[0].source.host_organization | https://openalex.org/P4310315919 |
| locations[0].source.host_organization_name | Association for Research in Vision and Ophthalmology |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310315919 |
| locations[0].source.host_organization_lineage_names | Association for Research in Vision and Ophthalmology |
| locations[0].license | cc-by-nc-nd |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Vision |
| locations[0].landing_page_url | https://doi.org/10.1167/jov.21.9.2711 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5083067344 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3632-7569 |
| authorships[0].author.display_name | Dietmar Heinke |
| authorships[0].countries | GB |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I79619799 |
| authorships[0].affiliations[0].raw_affiliation_string | University of Birmingham |
| authorships[0].institutions[0].id | https://openalex.org/I79619799 |
| authorships[0].institutions[0].ror | https://ror.org/03angcq70 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I79619799 |
| authorships[0].institutions[0].country_code | GB |
| authorships[0].institutions[0].display_name | University of Birmingham |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Dietmar Heinke |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | University of Birmingham |
| authorships[1].author.id | https://openalex.org/A5015726468 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-2081-4648 |
| authorships[1].author.display_name | Joshua J. Liddy |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I175594653 |
| authorships[1].affiliations[0].raw_affiliation_string | Brown University |
| authorships[1].institutions[0].id | https://openalex.org/I175594653 |
| authorships[1].institutions[0].ror | https://ror.org/02ct41q97 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I175594653 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | John Brown University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Joshua Liddy |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Brown University |
| authorships[2].author.id | https://openalex.org/A5040492525 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Lily Porat |
| authorships[2].countries | GB |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I79619799 |
| authorships[2].affiliations[0].raw_affiliation_string | University of Birmingham |
| authorships[2].institutions[0].id | https://openalex.org/I79619799 |
| authorships[2].institutions[0].ror | https://ror.org/03angcq70 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I79619799 |
| authorships[2].institutions[0].country_code | GB |
| authorships[2].institutions[0].display_name | University of Birmingham |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Lily Porat |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | University of Birmingham |
| authorships[3].author.id | https://openalex.org/A5054409623 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-6303-3801 |
| authorships[3].author.display_name | Joo‐Hyun Song |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I175594653 |
| authorships[3].affiliations[0].raw_affiliation_string | Brown University |
| authorships[3].institutions[0].id | https://openalex.org/I175594653 |
| authorships[3].institutions[0].ror | https://ror.org/02ct41q97 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I175594653 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | John Brown University |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Joo-Hyun Song |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Brown University |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1167/jov.21.9.2711 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Modelling trajectories from choice reaching experiments through submovement decomposition |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10982 |
| primary_topic.field.id | https://openalex.org/fields/28 |
| primary_topic.field.display_name | Neuroscience |
| primary_topic.score | 0.9896000027656555 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2805 |
| primary_topic.subfield.display_name | Cognitive Neuroscience |
| primary_topic.display_name | Motor Control and Adaptation |
| related_works | https://openalex.org/W55883722, https://openalex.org/W2068167342, https://openalex.org/W2394379345, https://openalex.org/W3215763795, https://openalex.org/W2079726820, https://openalex.org/W4288816678, https://openalex.org/W2091108294, https://openalex.org/W2946668990, https://openalex.org/W2380616566, https://openalex.org/W2002924703 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1167/jov.21.9.2711 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S137468011 |
| best_oa_location.source.issn | 1534-7362 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1534-7362 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Journal of Vision |
| best_oa_location.source.host_organization | https://openalex.org/P4310315919 |
| best_oa_location.source.host_organization_name | Association for Research in Vision and Ophthalmology |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310315919 |
| best_oa_location.source.host_organization_lineage_names | Association for Research in Vision and Ophthalmology |
| best_oa_location.license | cc-by-nc-nd |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of Vision |
| best_oa_location.landing_page_url | https://doi.org/10.1167/jov.21.9.2711 |
| primary_location.id | doi:10.1167/jov.21.9.2711 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S137468011 |
| primary_location.source.issn | 1534-7362 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1534-7362 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Journal of Vision |
| primary_location.source.host_organization | https://openalex.org/P4310315919 |
| primary_location.source.host_organization_name | Association for Research in Vision and Ophthalmology |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310315919 |
| primary_location.source.host_organization_lineage_names | Association for Research in Vision and Ophthalmology |
| primary_location.license | cc-by-nc-nd |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Vision |
| primary_location.landing_page_url | https://doi.org/10.1167/jov.21.9.2711 |
| publication_date | 2021-09-01 |
| publication_year | 2021 |
| referenced_works_count | 0 |
| abstract_inverted_index.& | 56, 60, 117, 122 |
| abstract_inverted_index.a | 70, 145, 153 |
| abstract_inverted_index.In | 169 |
| abstract_inverted_index.as | 128 |
| abstract_inverted_index.at | 217 |
| abstract_inverted_index.be | 8 |
| abstract_inverted_index.by | 10, 192 |
| abstract_inverted_index.et | 79, 157 |
| abstract_inverted_index.in | 23, 167, 202 |
| abstract_inverted_index.is | 35, 144 |
| abstract_inverted_index.of | 32, 113, 214, 220, 236 |
| abstract_inverted_index.to | 37, 43, 47, 139, 210 |
| abstract_inverted_index.we | 100, 172, 185 |
| abstract_inverted_index.For | 183 |
| abstract_inverted_index.aim | 209 |
| abstract_inverted_index.al. | 158 |
| abstract_inverted_index.and | 67, 136 |
| abstract_inverted_index.are | 111, 126, 165, 190 |
| abstract_inverted_index.but | 148 |
| abstract_inverted_index.can | 7, 151 |
| abstract_inverted_index.for | 16, 75 |
| abstract_inverted_index.the | 30, 50, 83, 96, 106, 180, 212, 222, 226, 234 |
| abstract_inverted_index.Each | 142 |
| abstract_inverted_index.Song | 55 |
| abstract_inverted_index.al., | 80 |
| abstract_inverted_index.from | 20 |
| abstract_inverted_index.have | 2 |
| abstract_inverted_index.into | 92, 179 |
| abstract_inverted_index.lead | 42 |
| abstract_inverted_index.leak | 91 |
| abstract_inverted_index.more | 193 |
| abstract_inverted_index.that | 4, 29, 86, 108, 161, 174, 187 |
| abstract_inverted_index.this | 17, 64, 102, 170 |
| abstract_inverted_index.time | 221 |
| abstract_inverted_index.what | 218 |
| abstract_inverted_index.will | 208 |
| abstract_inverted_index.with | 132 |
| abstract_inverted_index.work | 207 |
| abstract_inverted_index.1991; | 119 |
| abstract_inverted_index.2008; | 58 |
| abstract_inverted_index.Flash | 116 |
| abstract_inverted_index.Here, | 99 |
| abstract_inverted_index.Moher | 59 |
| abstract_inverted_index.Song, | 61 |
| abstract_inverted_index.These | 26, 230 |
| abstract_inverted_index.e.g., | 216 |
| abstract_inverted_index.found | 186 |
| abstract_inverted_index.model | 74, 84 |
| abstract_inverted_index.point | 219 |
| abstract_inverted_index.prior | 138 |
| abstract_inverted_index.reach | 21, 33 |
| abstract_inverted_index.shown | 3 |
| abstract_inverted_index.shows | 85 |
| abstract_inverted_index.stems | 19 |
| abstract_inverted_index.their | 140, 149 |
| abstract_inverted_index.where | 49 |
| abstract_inverted_index.which | 224 |
| abstract_inverted_index.(2013) | 159 |
| abstract_inverted_index.(e.g., | 54, 115 |
| abstract_inverted_index.2013). | 124 |
| abstract_inverted_index.2015). | 81 |
| abstract_inverted_index.2016). | 62 |
| abstract_inverted_index.Brown, | 121 |
| abstract_inverted_index.Future | 206 |
| abstract_inverted_index.Heinke | 66 |
| abstract_inverted_index.Hence, | 195 |
| abstract_inverted_index.Henis, | 118 |
| abstract_inverted_index.choice | 203 |
| abstract_inverted_index.colour | 38, 40, 52, 76 |
| abstract_inverted_index.create | 152, 225 |
| abstract_inverted_index.curved | 154, 227 |
| abstract_inverted_index.deeper | 177 |
| abstract_inverted_index.easily | 90 |
| abstract_inverted_index.effect | 18, 104 |
| abstract_inverted_index.linked | 36 |
| abstract_inverted_index.occur. | 229 |
| abstract_inverted_index.onset. | 141 |
| abstract_inverted_index.should | 232 |
| abstract_inverted_index.showed | 28, 160 |
| abstract_inverted_index.switch | 188 |
| abstract_inverted_index.target | 51 |
| abstract_inverted_index.tasks. | 25, 205 |
| abstract_inverted_index.timing | 213, 235 |
| abstract_inverted_index.trials | 48, 189 |
| abstract_inverted_index.analyse | 211 |
| abstract_inverted_index.capture | 101 |
| abstract_inverted_index.causing | 95 |
| abstract_inverted_index.defined | 127 |
| abstract_inverted_index.effect. | 98, 182 |
| abstract_inverted_index.leakage | 103 |
| abstract_inverted_index.priming | 77 |
| abstract_inverted_index.provide | 176 |
| abstract_inverted_index.reflect | 233 |
| abstract_inverted_index.smaller | 44 |
| abstract_inverted_index.studies | 1 |
| abstract_inverted_index.through | 105 |
| abstract_inverted_index.timings | 231 |
| abstract_inverted_index.(Strauss | 78 |
| abstract_inverted_index.Critical | 14 |
| abstract_inverted_index.Friedman | 156 |
| abstract_inverted_index.Previous | 0 |
| abstract_inverted_index.compared | 46 |
| abstract_inverted_index.composed | 112 |
| abstract_inverted_index.duration | 137 |
| abstract_inverted_index.evidence | 15 |
| abstract_inverted_index.insights | 178 |
| abstract_inverted_index.inspired | 72 |
| abstract_inverted_index.movement | 93 |
| abstract_inverted_index.planning | 94 |
| abstract_inverted_index.reaching | 5, 109, 204 |
| abstract_inverted_index.robotics | 73 |
| abstract_inverted_index.switches | 53 |
| abstract_inverted_index.Following | 63 |
| abstract_inverted_index.Friedman, | 120 |
| abstract_inverted_index.Nakayama, | 57 |
| abstract_inverted_index.ballistic | 130 |
| abstract_inverted_index.curvature | 34, 97, 181 |
| abstract_inverted_index.developed | 69 |
| abstract_inverted_index.discrete, | 129 |
| abstract_inverted_index.evidence, | 65 |
| abstract_inverted_index.instance, | 184 |
| abstract_inverted_index.movements | 6, 110, 131 |
| abstract_inverted_index.processes | 89, 164, 201 |
| abstract_inverted_index.reflected | 166, 198 |
| abstract_inverted_index.research, | 171 |
| abstract_inverted_index.selection | 12, 88, 200 |
| abstract_inverted_index.amplitude, | 134 |
| abstract_inverted_index.assumption | 107 |
| abstract_inverted_index.colleagues | 68 |
| abstract_inverted_index.curvatures | 45 |
| abstract_inverted_index.direction, | 135 |
| abstract_inverted_index.influenced | 9 |
| abstract_inverted_index.modulation | 31 |
| abstract_inverted_index.perceptual | 162 |
| abstract_inverted_index.processes. | 13 |
| abstract_inverted_index.selection. | 238 |
| abstract_inverted_index.trajectory | 147 |
| abstract_inverted_index.Critically, | 82 |
| abstract_inverted_index.Finkbeiner, | 123 |
| abstract_inverted_index.attentional | 11, 87, 199, 237 |
| abstract_inverted_index.demonstrate | 173 |
| abstract_inverted_index.experiments | 27 |
| abstract_inverted_index.repetitions | 41 |
| abstract_inverted_index.submovement | 143, 196 |
| abstract_inverted_index.trajectory. | 155 |
| abstract_inverted_index.Submovements | 125 |
| abstract_inverted_index.submovements | 114, 175, 215, 223 |
| abstract_inverted_index.trajectories | 22, 228 |
| abstract_inverted_index.characterized | 191 |
| abstract_inverted_index.colour-oddity | 24 |
| abstract_inverted_index.decomposition | 197 |
| abstract_inverted_index.predetermined | 133 |
| abstract_inverted_index.straight-line | 146 |
| abstract_inverted_index.submovements. | 168, 194 |
| abstract_inverted_index.superposition | 150 |
| abstract_inverted_index.neurologically | 71 |
| abstract_inverted_index.decision-making | 163 |
| abstract_inverted_index.priming—i.e., | 39 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.7699999809265137 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.1078209 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |