Computational brain & behavior最新文献

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Bayes Factor Model Comparisons Across Parameter Values for Mixed Models 混合模型跨参数值的贝叶斯因子模型比较
Computational brain & behavior Pub Date : 2021-05-28 DOI: 10.1007/s42113-021-00117-y
M. Linde, D. van Ravenzwaaij
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引用次数: 3
Embracing New Techniques in Deep Learning for Estimating Image Memorability 采用深度学习的新技术来估计图像记忆性
Computational brain & behavior Pub Date : 2021-05-21 DOI: 10.1007/s42113-022-00126-5
Coen D. Needell, Wilma A. Bainbridge
{"title":"Embracing New Techniques in Deep Learning for Estimating Image Memorability","authors":"Coen D. Needell, Wilma A. Bainbridge","doi":"10.1007/s42113-022-00126-5","DOIUrl":"https://doi.org/10.1007/s42113-022-00126-5","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"1 1","pages":"168 - 184"},"PeriodicalIF":0.0,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76353339","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: 24
Exploring the Effects of Perceptual Separability on Human-Automation Team Efficiency 探索感知可分离性对人-自动化团队效率的影响
Computational brain & behavior Pub Date : 2021-05-08 DOI: 10.1007/s42113-021-00108-z
Sidney T. Scott-Sharoni, Yusuke Yamani, Cara M. Kneeland, Shelby K. Long, Jing Chen, Joseph W. Houpt
{"title":"Exploring the Effects of Perceptual Separability on Human-Automation Team Efficiency","authors":"Sidney T. Scott-Sharoni, Yusuke Yamani, Cara M. Kneeland, Shelby K. Long, Jing Chen, Joseph W. Houpt","doi":"10.1007/s42113-021-00108-z","DOIUrl":"https://doi.org/10.1007/s42113-021-00108-z","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"28 1","pages":"486 - 496"},"PeriodicalIF":0.0,"publicationDate":"2021-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74582651","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
Dynamic Perception of Well-Learned Perceptual Objects 学习良好的感知对象的动态感知
Computational brain & behavior Pub Date : 2021-05-03 DOI: 10.1007/s42113-021-00107-0
Samuel M. Harding, D. Cousineau, R. Shiffrin
{"title":"Dynamic Perception of Well-Learned Perceptual Objects","authors":"Samuel M. Harding, D. Cousineau, R. Shiffrin","doi":"10.1007/s42113-021-00107-0","DOIUrl":"https://doi.org/10.1007/s42113-021-00107-0","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"12 1","pages":"497 - 518"},"PeriodicalIF":0.0,"publicationDate":"2021-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42113-021-00107-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72530484","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: 0
The Discovery and Interpretation of Evidence Accumulation Stages 证据积累阶段的发现与解释
Computational brain & behavior Pub Date : 2021-04-27 DOI: 10.1007/s42113-021-00105-2
Leendert van Maanen, Oscar Portoles, J. Borst
{"title":"The Discovery and Interpretation of Evidence Accumulation Stages","authors":"Leendert van Maanen, Oscar Portoles, J. Borst","doi":"10.1007/s42113-021-00105-2","DOIUrl":"https://doi.org/10.1007/s42113-021-00105-2","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"78 1","pages":"395 - 415"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75084038","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: 4
Exploring the Performance Consequences of Target Prevalence and Ecological Display Designs When Using an Automated Aid 探索目标流行率和生态显示设计在使用自动化辅助时的性能后果
Computational brain & behavior Pub Date : 2021-04-12 DOI: 10.1007/s42113-021-00104-3
Cara M. Kneeland, Joseph W. Houpt, K. Bennett
{"title":"Exploring the Performance Consequences of Target Prevalence and Ecological Display Designs When Using an Automated Aid","authors":"Cara M. Kneeland, Joseph W. Houpt, K. Bennett","doi":"10.1007/s42113-021-00104-3","DOIUrl":"https://doi.org/10.1007/s42113-021-00104-3","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"27 1","pages":"335 - 354"},"PeriodicalIF":0.0,"publicationDate":"2021-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91291856","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
Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure 在自然场景上训练的神经网络表现出完形闭合
Computational brain & behavior Pub Date : 2021-04-09 DOI: 10.1007/s42113-021-00100-7
Been Kim, Emily Reif, M. Wattenberg, Samy Bengio, M. Mozer
{"title":"Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure","authors":"Been Kim, Emily Reif, M. Wattenberg, Samy Bengio, M. Mozer","doi":"10.1007/s42113-021-00100-7","DOIUrl":"https://doi.org/10.1007/s42113-021-00100-7","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"8 1","pages":"251 - 263"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86532706","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: 35
Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates 用数据驱动的难度估计缓解自适应学习中的冷启动问题
Computational brain & behavior Pub Date : 2021-03-15 DOI: 10.1007/s42113-021-00101-6
Maarten van der Velde, Florian Sense, J. Borst, H. van Rijn
{"title":"Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates","authors":"Maarten van der Velde, Florian Sense, J. Borst, H. van Rijn","doi":"10.1007/s42113-021-00101-6","DOIUrl":"https://doi.org/10.1007/s42113-021-00101-6","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"406 5","pages":"231 - 249"},"PeriodicalIF":0.0,"publicationDate":"2021-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42113-021-00101-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72448313","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: 7
Modulation of Dopamine for Adaptive Learning: A Neurocomputational Model. 多巴胺对适应性学习的调节:一个神经计算模型。
Computational brain & behavior Pub Date : 2021-03-01 Epub Date: 2020-06-12 DOI: 10.1007/s42113-020-00083-x
Jeffrey B Inglis, Vivian V Valentin, F Gregory Ashby
{"title":"Modulation of Dopamine for Adaptive Learning: A Neurocomputational Model.","authors":"Jeffrey B Inglis,&nbsp;Vivian V Valentin,&nbsp;F Gregory Ashby","doi":"10.1007/s42113-020-00083-x","DOIUrl":"https://doi.org/10.1007/s42113-020-00083-x","url":null,"abstract":"<p><p>There have been many proposals that learning rates in the brain are adaptive, in the sense that they increase or decrease depending on environmental conditions. The majority of these models are abstract and make no attempt to describe the neural circuitry that implements the proposed computations. This article describes a biologically detailed computational model that overcomes this shortcoming. Specifically, we propose a neural circuit that implements adaptive learning rates by modulating the gain on the dopamine response to reward prediction errors, and we model activity within this circuit at the level of spiking neurons. The model generates a dopamine signal that depends on the size of the tonically active dopamine neuron population and the phasic spike rate. The model was tested successfully against results from two single-neuron recording studies and a fast-scan cyclic voltammetry study. We conclude by discussing the general applicability of the model to dopamine mediated tasks that transcend the experimental phenomena it was initially designed to address.</p>","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"4 1","pages":"34-52"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42113-020-00083-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39250531","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: 1
Bayes Factors for Mixed Models 混合模型的贝叶斯因子
Computational brain & behavior Pub Date : 2021-02-22 DOI: 10.1007/s42113-021-00113-2
Johnny van Doorn, F. Aust, J. Haaf, A. Stefan, E. Wagenmakers
{"title":"Bayes Factors for Mixed Models","authors":"Johnny van Doorn, F. Aust, J. Haaf, A. Stefan, E. Wagenmakers","doi":"10.1007/s42113-021-00113-2","DOIUrl":"https://doi.org/10.1007/s42113-021-00113-2","url":null,"abstract":"","PeriodicalId":72660,"journal":{"name":"Computational brain & behavior","volume":"23 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2021-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85253041","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: 22
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