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1
Computational Models in Electroencephalography.
In: Brain topography, vol 35, iss 1 (2022)
Abstract: Computational models lie at the intersection of basic neuroscience and healthcare applications because they allow researchers to test hypotheses in silico and predict the outcome of experiments and interactions that are very hard to test in reality. Yet, what is meant by "computational model" is understood in many different ways by researchers in different fields of neuroscience and psychology, hindering communication and collaboration. In this review, we point out the state of the art of computational modeling in Electroencephalography (EEG) and outline how these models can be used to integrate findings from electrophysiology, network-level models, and behavior. On the one hand, computational models serve to investigate the mechanisms that generate brain activity, for example measured with EEG, such as the transient emergence of oscillations at different frequency bands and/or with different spatial topographies. On the other hand, computational models serve to design experiments and test hypotheses in silico. The final purpose of computational models of EEG is to obtain a comprehensive understanding of the mechanisms that underlie the EEG signal. This is crucial for an accurate interpretation of EEG measurements that may ultimately serve in the development of novel clinical applications.
Keyword: 1.1 Normal biological development and functioning; Bioengineering; Clinical applications; Clinical Sciences; Cognitive Sciences; Computational modeling; Electroencephalography; Experimental Psychology; Mental Health; Multiscale modeling; Networking and Information Technology R&D; Neurological; Neurosciences
URL: https://escholarship.org/uc/item/16r8k9f0
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2
Investigating the Folk Concept of Pain: Implication & Projection ...
Willemsen, Pascale. - : Open Science Framework, 2022
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3
Deniability: Investigating the Folk Concept of Pain ...
Willemsen, Pascale. - : Open Science Framework, 2022
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4
Do we recognize whether a man's masculinity is threatened? An auditory perception experiment ...
Nigbur, Laszlo. - : Open Science Framework, 2022
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5
Bilingualism & Theory of Mind ...
Samuel, Steven. - : Open Science Framework, 2022
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6
Does high talker variability improve the learning of non-native phoneme contrasts? A replication ...
Brekelmans, Gwen. - : Open Science Framework, 2022
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7
Facial Recognition as it relates to the obstruction of Holistic Processing by Partial Occlusion
In: Honors College Theses (2022)
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8
Impact of Face Masks and Viewers’ Anxiety on Ratings of First Impressions from Faces
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9
Predictability effects and parafoveal processing of compound words in natural Chinese reading
Cui, Lei; Zang, Chuanli; Xu, Xiaochen. - : Sage, 2022
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10
Detecting structured repetition in child-surrounding speech: Evidence from maximally diverse languages
In: Lester, Nicholas A; Moran, Steven; Küntay, Aylin C; Allen, Shanley E M; Pfeiler, Barbara; Stoll, Sabine (2022). Detecting structured repetition in child-surrounding speech: Evidence from maximally diverse languages. Cognition, 221:104986. (2022)
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11
Masked face identification is improved by diagnostic feature training
Carragher, Daniel J; Towler, Alice; Mileva, Viktoria R. - : Springer Science and Business Media LLC, 2022
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12
Lexical activation in late bilinguals: effects of phonological neighbourhood on spoken word production
Hameau, Solene; Nickels, Lyndsey; Biedermann, Britta. - : ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2021
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13
Catching the cognitive consequences of bilingual language processing on the fly: An approach to reframe the discussion about bilingualism
Navarro-Torres, Christian Alberto. - : eScholarship, University of California, 2021
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14
Language distance in orthographic transparency affects cross-language pattern similarity between native and non-native languages.
In: Human brain mapping, vol 42, iss 4 (2021)
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15
(Not) Keeping another language in mind: Structural representations in bilinguals
Ahn, Danbi. - : eScholarship, University of California, 2021
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16
Stem similarity modulates infants' acquisition of phonological alternations.
Sundara, Megha; White, James; Kim, Yun Jung. - : eScholarship, University of California, 2021
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17
The processing of pseudoword form and meaning in production and comprehension: A computational modeling approach using linear discriminative learning.
In: Behavior research methods, vol 53, iss 3 (2021)
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18
An ERP index of real-time error correction within a noisy-channel framework of human communication.
Ryskin, Rachel; Stearns, Laura; Bergen, Leon. - : eScholarship, University of California, 2021
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19
Lying: an anthropological approach
Erut, Alejandro Suleman. - : eScholarship, University of California, 2021
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20
Arbitrary but predictive cues support attention to overlooked features
Luna, Michelle L; Sandhofer, Catherine M. - : eScholarship, University of California, 2021
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