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2022 Conference on Cognitive Computational Neuroscience最新文献

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Representational dynamics of listened and imagined musical sound sequences 听觉和想象的音乐声音序列的具象动态
Pub Date : 1900-01-01 DOI: 10.32470/ccn.2022.1069-0
D. R. Quiroga-Martinez, L. Bonetti, Robert Knight, P. Vuust
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引用次数: 0
Grid representations for efficient generalization 高效泛化的网格表示
Pub Date : 1900-01-01 DOI: 10.32470/ccn.2022.1202-0
Linda Yu, Matthew R. Nassar
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引用次数: 0
The Cortical Representation of Linguistic Structures at Different Timescales is Shared between Reading and Listening 阅读和听力在不同时间尺度上共享语言结构的皮层表征
Pub Date : 1900-01-01 DOI: 10.32470/ccn.2022.1089-0
Catherine Chen, Tom Dupré la Tour, J. Gallant, Daniel Klein, Fatma Deniz
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引用次数: 0
ConvNets Develop Characteristics of Visual Cortex when Receiving Retinal Input 当接收视网膜输入时,卷积神经网络发展出视觉皮层的特征
Pub Date : 1900-01-01 DOI: 10.32470/ccn.2022.1060-0
Danny da Costa, Lukas Kornemann, R. Goebel, M. Senden
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引用次数: 0
Reconstructing the cascade of language processing in the brain using the internal computations of transformer language models 利用转换语言模型的内部计算重建大脑中语言处理的级联
Pub Date : 1900-01-01 DOI: 10.32470/ccn.2022.1255-0
Sreejan Kumar, T. Sumers, Takateru Yamakoshi, Ariel Goldstein, U. Hasson, K. Norman, Thomas L. Griffiths, Robert D. Hawkins, Samuel A. Nastase
{"title":"Reconstructing the cascade of language processing in the brain using the internal computations of transformer language models","authors":"Sreejan Kumar, T. Sumers, Takateru Yamakoshi, Ariel Goldstein, U. Hasson, K. Norman, Thomas L. Griffiths, Robert D. Hawkins, Samuel A. Nastase","doi":"10.32470/ccn.2022.1255-0","DOIUrl":"https://doi.org/10.32470/ccn.2022.1255-0","url":null,"abstract":"","PeriodicalId":341186,"journal":{"name":"2022 Conference on Cognitive Computational Neuroscience","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134539291","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
Multivariate Representation of Sustained Visual Content in a No-Report Paradigm 无报告范式下持续视觉内容的多元表征
Pub Date : 1900-01-01 DOI: 10.32470/ccn.2022.1290-0
Gal Vishne, E. Gerber, R. Knight, L. Deouell
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引用次数: 0
Deep neural networks face a fundamental trade-off to explain human vision 深度神经网络在解释人类视觉时面临着一个基本的权衡
Pub Date : 1900-01-01 DOI: 10.32470/ccn.2022.1214-0
Ivan Felipe Rodriguez Rodriguez, Drew A. Linsley, Thomas Fel, Thomas Serre
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引用次数: 0
Informative associations between feature, spatial, and category selectivity in human visual cortex 人类视觉皮层特征、空间和类别选择性之间的信息关联
Pub Date : 1900-01-01 DOI: 10.32470/ccn.2022.1043-0
Margaret M. Henderson, M. Tarr, Leila Wehbe
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引用次数: 0
Is attention necessary for object perception? 注意对于物体感知是必要的吗?
Pub Date : 1900-01-01 DOI: 10.32470/ccn.2022.1312-0
Akshay V. Jagadeesh, Justin L. Gardner
{"title":"Is attention necessary for object perception?","authors":"Akshay V. Jagadeesh, Justin L. Gardner","doi":"10.32470/ccn.2022.1312-0","DOIUrl":"https://doi.org/10.32470/ccn.2022.1312-0","url":null,"abstract":"","PeriodicalId":341186,"journal":{"name":"2022 Conference on Cognitive Computational Neuroscience","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133751180","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
A Connectome-based Predictive Model of Affective Experience During Naturalistic Viewing 基于连接体的自然观情感体验预测模型
Pub Date : 1900-01-01 DOI: 10.32470/ccn.2022.1098-0
Jin Ke, Yuan Chang Leong
: Our thoughts and actions are guided by our ongoing affective experience. Affective states are often measured using self-report ratings, which are labor intensive to collect and can also disrupt ongoing cognition if obtained while performing a task. In this study, we aim to 1) derive a continuous and non-intrusive measure of affective experience based on dynamic functional connectivity (FC), and 2) characterize the interaction between brain regions underlying changes in affective states. We trained a connectome-based predictive model to predict subjective ratings of valence, arousal and dominance from fMRI data of participants watching a TV episode. All three models achieved reasonable accuracy (valence: r = .486, p = .018; arousal: r = .519, p = .002; dominance: r = .602, p = .008). FC edges within and between multiple large-scale functional brain networks reliably contributed to model predictions, suggesting that affective states are encoded in the interactions between brain regions. Taken together, our work presents a promising approach to probe affective experience based on brain imaging data.
当前位置我们的思想和行为受到我们持续的情感体验的引导。情感状态通常是用自我报告评分来衡量的,这是一项劳动密集型的收集工作,如果在执行任务时获得,也会破坏正在进行的认知。在这项研究中,我们的目标是1)基于动态功能连接(FC)推导出一种持续的、非侵入性的情感体验测量方法;2)表征情感状态变化背后的大脑区域之间的相互作用。我们训练了一个基于连接体的预测模型,从观看电视节目的参与者的fMRI数据中预测对效价、唤醒和支配的主观评分。三种模型均达到了合理的准确度(效价:r = .486, p = .018;唤醒:r = .519, p = .002;优势:r = .602, p = .008)。多个大规模功能脑网络内部和之间的FC边缘可靠地有助于模型预测,这表明情感状态是在大脑区域之间的相互作用中编码的。综上所述,我们的工作提出了一种基于脑成像数据探索情感体验的有前途的方法。
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引用次数: 0
期刊
2022 Conference on Cognitive Computational Neuroscience
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