{"title":"Publisher Correction to: A Computational Dual-Process Model of Fixation-Duration Control in Natural Scene Viewing","authors":"R. C. Walshe, A. Nuthmann","doi":"10.1007/s42113-021-00119-w","DOIUrl":"https://doi.org/10.1007/s42113-021-00119-w","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"20 1","pages":"485 - 485"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78496784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Vasishth, Himanshu Yadav, D. Schad, Bruno Nicenboim
{"title":"Sample Size Determination for Bayesian Hierarchical Models Commonly Used in Psycholinguistics","authors":"S. Vasishth, Himanshu Yadav, D. Schad, Bruno Nicenboim","doi":"10.1007/s42113-021-00125-y","DOIUrl":"https://doi.org/10.1007/s42113-021-00125-y","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"12 3 1","pages":"102-126"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90391827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Computational Dual-Process Model of Fixation-Duration Control in Natural Scene Viewing","authors":"R. C. Walshe, A. Nuthmann","doi":"10.1007/s42113-021-00111-4","DOIUrl":"https://doi.org/10.1007/s42113-021-00111-4","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"1 1","pages":"463 - 484"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87772881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Garrett, Murray Bennett, Yu-Tzu Hsieh, Zachary L. Howard, Cheng-Ta, Daniel R. Little, A. Eidels
{"title":"Wheel of Fortune: a Cross-cultural Examination of How Expertise Shapes the Mental Representations of Familiar and Unfamiliar Numerals","authors":"P. Garrett, Murray Bennett, Yu-Tzu Hsieh, Zachary L. Howard, Cheng-Ta, Daniel R. Little, A. Eidels","doi":"10.1007/s42113-021-00122-1","DOIUrl":"https://doi.org/10.1007/s42113-021-00122-1","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"28 2","pages":"45 - 59"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72412445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Valerio Bonometti, Mathieu J. Ruiz, Anders Drachen, Alex R. Wade
{"title":"Approximating the Manifold Structure of Attributed Incentive Salience from Large-scale Behavioural Data","authors":"Valerio Bonometti, Mathieu J. Ruiz, Anders Drachen, Alex R. Wade","doi":"10.1007/s42113-022-00147-0","DOIUrl":"https://doi.org/10.1007/s42113-022-00147-0","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"7 1","pages":"280 - 315"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74670098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the Measure-Theoretic Premises of Bayes Factor and Full Bayesian Significance Tests: a Critical Reevaluation","authors":"Riko Kelter","doi":"10.1007/s42113-021-00110-5","DOIUrl":"https://doi.org/10.1007/s42113-021-00110-5","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"1 1","pages":"572 - 582"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90765717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Singmann, David Kellen, Gregory E. Cox, Suyog H. Chandramouli, C. Davis-Stober, J. Dunn, Q. Gronau, M. Kalish, Sara D McMullin, D. Navarro, R. Shiffrin
{"title":"Statistics in the Service of Science: Don’t Let the Tail Wag the Dog","authors":"H. Singmann, David Kellen, Gregory E. Cox, Suyog H. Chandramouli, C. Davis-Stober, J. Dunn, Q. Gronau, M. Kalish, Sara D McMullin, D. Navarro, R. Shiffrin","doi":"10.1007/s42113-022-00129-2","DOIUrl":"https://doi.org/10.1007/s42113-022-00129-2","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"33 1","pages":"64-83"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76373033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Scale-Dependent Relationships in Natural Language.","authors":"Aakash Sarkar, Marc W Howard","doi":"10.1007/s42113-020-00094-8","DOIUrl":"10.1007/s42113-020-00094-8","url":null,"abstract":"<p><p>Language, like other natural sequences, exhibits statistical dependencies at a wide range of scales (Lin & Tegmark, 2016). However, many statistical learning models applied to language impose a sampling scale while extracting statistical structure. For instance, Word2Vec creates vector embeddings by sampling context in a window around each word, the size of which defines a strong scale; relationships over much larger temporal scales would be invisible to the algorithm. This paper examines the family of Word2Vec embeddings generated while systematically manipulating the size of the context window. The primary result is that different linguistic relationships are preferentially encoded at different scales. Different scales emphasize different syntactic and semantic relations between words, as assessed both by analogical reasoning tasks in the Google Analogies test set and human similarity rating datasets WordSim-353 and SimLex-999. Moreover, the neighborhoods of a given word in the embeddings change considerably depending on the scale. These results suggest that sampling at any individual scale can only identify a subset of the meaningful relationships a word might have, and point toward the importance of developing scale-free models of semantic meaning.</p>","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"4 ","pages":"164-177"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42113-020-00094-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39268103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}