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Language, Cognition and Neuroscience Volume 30, 2015 - Issue 4
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Special Section: Representing mental representations: Neuroscientific and computational approaches to information processing in the brain

Connecting functional brain imaging and Parallel Distributed Processing

Christopher R. CoxDepartment of Psychology, University of Wisconsin-Madison, Madison, WI, USA
,
Mark S. SeidenbergDepartment of Psychology, University of Wisconsin-Madison, Madison, WI, USA
&
Timothy T. RogersDepartment of Psychology, University of Wisconsin-Madison, Madison, WI, USACorrespondence[email protected]
Pages 380-394 | Published online: 22 Dec 2014

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Ambre Denis-Noël, Pascale Colé, Deirdre Bolger & Chotiga Pattamadilok. (2023) How Do Adults with Dyslexia Recognize Spoken Words? Evidence from Behavioral and EEG Data. Scientific Studies of Reading 0:0, pages 1-21.
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Olaf Hauk. (2015) Representing mental representations – Neuroscientific and computational approaches to study language processing in the brain. Language, Cognition and Neuroscience 30:4, pages 355-356.
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Articles from other publishers (10)

Saskia L. Frisby, Ajay D. Halai, Christopher R. Cox, Matthew A. Lambon Ralph & Timothy T. Rogers. (2023) Decoding semantic representations in mind and brain. Trends in Cognitive Sciences 27:3, pages 258-281.
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William W. Graves, Jeremy Purcell, David Rothlein, Donald J. Bolger, Miriam Rosenberg-Lee & Ryan Staples. (2022) Correspondence between cognitive and neural representations for phonology, orthography, and semantics in supramarginal compared to angular gyrus. Brain Structure and Function 228:1, pages 255-271.
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Mark S. Seidenberg, Molly Farry‐Thorn & Jason D. Zevin. 2022. The Science of Reading. The Science of Reading 36 59 .
Timothy T Rogers, Christopher R Cox, Qihong Lu, Akihiro Shimotake, Takayuki Kikuchi, Takeharu Kunieda, Susumu Miyamoto, Ryosuke Takahashi, Akio Ikeda, Riki Matsumoto & Matthew A Lambon Ralph. (2021) Evidence for a deep, distributed and dynamic code for animacy in human ventral anterior temporal cortex. eLife 10.
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Timothy T Rogers. (2020) Neural networks as a critical level of description for cognitive neuroscience. Current Opinion in Behavioral Sciences 32, pages 167-173.
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Barry J. Devereux, Alex Clarke & Lorraine K. Tyler. (2018) Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway. Scientific Reports 8:1.
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Samantha R Mattheiss, Hillary Levinson & William W Graves. (2018) Duality of Function: Activation for Meaningless Nonwords and Semantic Codes in the Same Brain Areas. Cerebral Cortex 28:7, pages 2516-2524.
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Timothy T. ROGERS. (2018) Understanding the diversity and consistency of neural codes for human semantic representationsヒトの神経―意味コードにおける普遍性と多様性. The Japanese Journal of Cognitive Psychology 15:2, pages 55-62.
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Olivia Guest & Bradley C Love. (2017) What the success of brain imaging implies about the neural code. eLife 6.
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Athanassios Protopapas, Eleni Orfanidou, J.S.H. Taylor, Efstratios Karavasilis, Efthymia C. Kapnoula, Georgia Panagiotaropoulou, Georgios Velonakis, Loukia S. Poulou, Nikolaos Smyrnis & Dimitrios Kelekis. (2016) Evaluating cognitive models of visual word recognition using fMRI: Effects of lexical and sublexical variables. NeuroImage 128, pages 328-341.
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