Zachary L. Howard, Alexander Thorpe, Elizabeth L. Fox
{"title":"Switch It Up! How Context Influences the Efficiency of Redundancy Gains in a Peripheral Task","authors":"Zachary L. Howard, Alexander Thorpe, Elizabeth L. Fox","doi":"10.1007/s42113-022-00159-w","DOIUrl":"https://doi.org/10.1007/s42113-022-00159-w","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"92 1","pages":"195 - 212"},"PeriodicalIF":0.0,"publicationDate":"2022-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90873465","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}
Yiyang Chen, Nicholas J K Breitborde, M. Peruggia, T. Van Zandt
{"title":"Understanding Motivation with the Progressive Ratio Task: a Hierarchical Bayesian Model","authors":"Yiyang Chen, Nicholas J K Breitborde, M. Peruggia, T. Van Zandt","doi":"10.1007/s42113-021-00114-1","DOIUrl":"https://doi.org/10.1007/s42113-021-00114-1","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"185 1","pages":"81 - 102"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73376673","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 Tale of Two Literatures: A Fidelity-Based Integration Account of Central Tendency Bias and Serial Dependency","authors":"Ke Tong, Chad Dubé","doi":"10.1007/s42113-021-00123-0","DOIUrl":"https://doi.org/10.1007/s42113-021-00123-0","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"26 1","pages":"103 - 123"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74782346","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":"How Do People Generalize Causal Relations over Objects? A Non-parametric Bayesian Account.","authors":"Bonan Zhao, Christopher G Lucas, Neil R Bramley","doi":"10.1007/s42113-021-00124-z","DOIUrl":"10.1007/s42113-021-00124-z","url":null,"abstract":"<p><p>How do people decide how general a causal relationship is, in terms of the entities or situations it applies to? What features do people use to decide whether a new situation is governed by a new causal law or an old one? How can people make these difficult judgments in a fast, efficient way? We address these questions in two experiments that ask participants to generalize from one (Experiment 1) or several (Experiment 2) causal interactions between pairs of objects. In each case, participants see an agent object act on a recipient object, causing some changes to the recipient. In line with the human capacity for few-shot concept learning, we find systematic patterns of causal generalizations favoring simpler causal laws that extend over categories of similar objects. In Experiment 1, we find that participants' inferences are shaped by the order of the generalization questions they are asked. In both experiments, we find an asymmetry in the formation of causal categories: participants preferentially identify causal laws with features of the agent objects rather than recipients. To explain this, we develop a computational model that combines program induction (about the hidden causal laws) with non-parametric category inference (about their domains of influence). We demonstrate that our modeling approach can both explain the order effect in Experiment 1 and the causal asymmetry, and outperforms a naïve Bayesian account while providing a computationally plausible mechanism for real-world causal generalization.</p>","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"5 1","pages":"22-44"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9266107","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}
P. Lissón, Dario Paape, Dorothea Pregla, F. Burchert, N. Stadie, S. Vasishth
{"title":"Similarity-Based Interference in Sentence Comprehension in Aphasia: a Computational Evaluation of Two Models of Cue-Based Retrieval","authors":"P. Lissón, Dario Paape, Dorothea Pregla, F. Burchert, N. Stadie, S. Vasishth","doi":"10.1007/s42113-023-00168-3","DOIUrl":"https://doi.org/10.1007/s42113-023-00168-3","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"32 1","pages":"1-30"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91140394","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}
Jeffrey N. Rouder, Martin Schnuerch, J. Haaf, R. Morey
{"title":"Principles of Model Specification in ANOVA Designs","authors":"Jeffrey N. Rouder, Martin Schnuerch, J. Haaf, R. Morey","doi":"10.1007/s42113-022-00132-7","DOIUrl":"https://doi.org/10.1007/s42113-022-00132-7","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"9 1","pages":"50-63"},"PeriodicalIF":0.0,"publicationDate":"2021-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78444135","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":"Benefits of Bayesian Model Averaging for Mixed-Effects Modeling","authors":"D. Heck, F. Bockting","doi":"10.1007/s42113-021-00118-x","DOIUrl":"https://doi.org/10.1007/s42113-021-00118-x","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"41 1","pages":"35-49"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73506559","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 Logical Inference over Brains, Behaviour, and Artificial Neural Networks","authors":"Olivia Guest, Andrea E. Martin","doi":"10.1007/s42113-022-00166-x","DOIUrl":"https://doi.org/10.1007/s42113-022-00166-x","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"243 ","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72438229","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}