Computational brain & behavior最新文献

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Hidden Markov Models of Evidence Accumulation in Speeded Decision Tasks 快速决策任务中证据积累的隐马尔可夫模型
Computational brain & behavior Pub Date : 2020-12-16 DOI: 10.1007/s42113-021-00115-0
Š. Kucharský, Nd Tran, Karel Veldkamp, M. Raijmakers, I. Visser
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引用次数: 3
Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural Data. 同时层次贝叶斯参数估计强化学习和漂移扩散模型:教程和链接到神经数据。
Computational brain & behavior Pub Date : 2020-12-01 Epub Date: 2020-05-26 DOI: 10.1007/s42113-020-00084-w
Mads L Pedersen, Michael J Frank
{"title":"Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural Data.","authors":"Mads L Pedersen,&nbsp;Michael J Frank","doi":"10.1007/s42113-020-00084-w","DOIUrl":"https://doi.org/10.1007/s42113-020-00084-w","url":null,"abstract":"<p><p>Cognitive models have been instrumental for generating insights into the brain processes underlying learning and decision making. In reinforcement learning it has recently been shown that not only choice proportions but also their latency distributions can be well captured when the choice function is replaced with a sequential sampling model such as the drift diffusion model. Hierarchical Bayesian parameter estimation further enhances the identifiability of distinct learning and choice parameters. One caveat is that these models can be time-consuming to build, sample from, and validate, especially when models include links between neural activations and model parameters. Here we describe a novel extension to the widely used hierarchical drift diffusion model (HDDM) toolbox, which facilitates flexible construction, estimation, and evaluation of the reinforcement learning drift diffusion model (RLDDM) using hierarchical Bayesian methods. We describe the types of experiments most applicable to the model and provide a tutorial to illustrate how to perform quantitative data analysis and model evaluation. Parameter recovery confirmed that the method can reliably estimate parameters with varying numbers of synthetic subjects and trials. We also show that the simultaneous estimation of learning and choice parameters can improve the sensitivity to detect brain-behavioral relationships, including the impact of learned values and fronto-basal ganglia activity patterns on dynamic decision parameters.</p>","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"3 4","pages":"458-471"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42113-020-00084-w","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39593178","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}
引用次数: 26
Breaking Deadlocks: Reward Probability and Spontaneous Preference Shape Voluntary Decisions and Electrophysiological Signals in Humans 打破僵局:奖励概率和自发偏好形成人类自愿决策和电生理信号
Computational brain & behavior Pub Date : 2020-11-30 DOI: 10.1007/s42113-020-00096-6
Wojciech Zajkowski, D. Krzemiński, Jacopo Barone, L. Evans, Jiaxiang Zhang
{"title":"Breaking Deadlocks: Reward Probability and Spontaneous Preference Shape Voluntary Decisions and Electrophysiological Signals in Humans","authors":"Wojciech Zajkowski, D. Krzemiński, Jacopo Barone, L. Evans, Jiaxiang Zhang","doi":"10.1007/s42113-020-00096-6","DOIUrl":"https://doi.org/10.1007/s42113-020-00096-6","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"188 1","pages":"191 - 212"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72746852","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}
引用次数: 2
Hierarchical Reinforcement Learning Explains Task Interleaving Behavior 分层强化学习解释任务交错行为
Computational brain & behavior Pub Date : 2020-11-05 DOI: 10.1007/s42113-020-00093-9
Christoph Gebhardt, Antti Oulasvirta, Otmar Hilliges
{"title":"Hierarchical Reinforcement Learning Explains Task Interleaving Behavior","authors":"Christoph Gebhardt, Antti Oulasvirta, Otmar Hilliges","doi":"10.1007/s42113-020-00093-9","DOIUrl":"https://doi.org/10.1007/s42113-020-00093-9","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"285 1","pages":"284 - 304"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76257601","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}
引用次数: 12
Multidimensionality in Executive Function Profiles in Schizophrenia: a Computational Approach Using the Wisconsin Card Sorting Task 精神分裂症患者执行功能特征的多维性:一种使用威斯康星卡片分类任务的计算方法
Computational brain & behavior Pub Date : 2020-10-21 DOI: 10.1007/s42113-021-00106-1
Darren Haywood, Frank D. Baughman
{"title":"Multidimensionality in Executive Function Profiles in Schizophrenia: a Computational Approach Using the Wisconsin Card Sorting Task","authors":"Darren Haywood, Frank D. Baughman","doi":"10.1007/s42113-021-00106-1","DOIUrl":"https://doi.org/10.1007/s42113-021-00106-1","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"6 1","pages":"381 - 394"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84172563","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}
引用次数: 10
Modeling Strategy Switches in Multi-attribute Decision Making 多属性决策中的策略切换建模
Computational brain & behavior Pub Date : 2020-10-19 DOI: 10.1007/s42113-020-00092-w
M. Lee, K. Gluck
{"title":"Modeling Strategy Switches in Multi-attribute Decision Making","authors":"M. Lee, K. Gluck","doi":"10.1007/s42113-020-00092-w","DOIUrl":"https://doi.org/10.1007/s42113-020-00092-w","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"1 1","pages":"148 - 163"},"PeriodicalIF":0.0,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81668196","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}
引用次数: 9
Representing and Predicting Everyday Behavior 表示和预测日常行为
Computational brain & behavior Pub Date : 2020-10-07 DOI: 10.31234/osf.io/kb53h
M. Singh, Russell Richie, Sudeep Bhatia
{"title":"Representing and Predicting Everyday Behavior","authors":"M. Singh, Russell Richie, Sudeep Bhatia","doi":"10.31234/osf.io/kb53h","DOIUrl":"https://doi.org/10.31234/osf.io/kb53h","url":null,"abstract":"The prediction of everyday human behavior is a central goal in the behavioral sciences. However, efforts in this direction have been limited, as (1) the behaviors studied in most surveys and experiments represent only a small fraction of all possible behaviors, and (2) it has been difficult to generalize data from existing studies to predict arbitrary behaviors, owing to the difficulty in adequately representing such behaviors. Our paper attempts to address each of these problems. First, by sampling frequent verb phrases in natural language and refining these through human coding, we compile a dataset of nearly 4000 common human behaviors. Second, we use distributed semantic models to obtain vector representations for our behaviors, and combine these with demographic and psychographic data, to build supervised, deep neural network models of behavioral propensities for a representative sample of the US population. Our best models achieve reasonable accuracy rates when predicting propensities for novel (out-of-sample) participants as well as novel behaviors, and offer new insights for modeling psychographic and demographic differences in behavior. This work is a first step towards building predictive theories of everyday behavior, and thus improving the generality and naturalism of research in the behavioral sciences.","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"24 1","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85090632","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}
引用次数: 3
The Moderating Role of Feedback on Forgetting in Item Recognition 反馈对遗忘在项目识别中的调节作用
Computational brain & behavior Pub Date : 2020-09-09 DOI: 10.1007/s42113-020-00090-y
Aslı Kılıç, Jessica M. Fontaine, K. Malmberg, A. Criss
{"title":"The Moderating Role of Feedback on Forgetting in Item Recognition","authors":"Aslı Kılıç, Jessica M. Fontaine, K. Malmberg, A. Criss","doi":"10.1007/s42113-020-00090-y","DOIUrl":"https://doi.org/10.1007/s42113-020-00090-y","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"233 1","pages":"178 - 190"},"PeriodicalIF":0.0,"publicationDate":"2020-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89709483","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}
引用次数: 1
Simulating Code-switching Using a Neural Network Model of Bilingual Sentence Production 用神经网络模型模拟双语句子生成的语码转换
Computational brain & behavior Pub Date : 2020-08-12 DOI: 10.1007/s42113-020-00088-6
Chara Tsoukala, M. Broersma, Antal van den Bosch, Stefan L. Frank
{"title":"Simulating Code-switching Using a Neural Network Model of Bilingual Sentence Production","authors":"Chara Tsoukala, M. Broersma, Antal van den Bosch, Stefan L. Frank","doi":"10.1007/s42113-020-00088-6","DOIUrl":"https://doi.org/10.1007/s42113-020-00088-6","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"1 1","pages":"87 - 100"},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78428893","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}
引用次数: 5
Catastrophic Interference in Predictive Neural Network Models of Distributional Semantics 分布语义预测神经网络模型中的突变干扰
Computational brain & behavior Pub Date : 2020-08-11 DOI: 10.1007/s42113-020-00089-5
Willa Mannering, Michael N. Jones
{"title":"Catastrophic Interference in Predictive Neural Network Models of Distributional Semantics","authors":"Willa Mannering, Michael N. Jones","doi":"10.1007/s42113-020-00089-5","DOIUrl":"https://doi.org/10.1007/s42113-020-00089-5","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"13 1","pages":"18 - 33"},"PeriodicalIF":0.0,"publicationDate":"2020-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77116856","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}
引用次数: 10
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