Zobrazeno 1 - 10 of 16 pro vyhledávání: '"JohnMark Taylor"'
1
Akademický článek
Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLens
Autor: JohnMark Taylor, Nikolaus Kriegeskorte
Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Deep neural network models (DNNs) are essential to modern AI and provide powerful models of information processing in biological neural networks. Researchers in both neuroscience and engineering are pursuing a better understanding of the int
Externí odkaz: https://doaj.org/article/fdf10d1092fb4beba46ac4006a5637da
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2
Akademický článek
Representation of color, form, and their conjunction across the human ventral visual pathway
Autor: JohnMark Taylor, Yaoda Xu
Publikováno v: NeuroImage, Vol 251, Iss , Pp 118941- (2022)
Despite decades of research, our understanding of the relationship between color and form processing in the primate ventral visual pathway remains incomplete. Using fMRI multivoxel pattern analysis, we examined coding of color and form, using a simpl
Externí odkaz: https://doaj.org/article/99a8b5624a7445b19b540c497d7fabd2
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3
Akademický článek
Joint representation of color and form in convolutional neural networks: A stimulus-rich network perspective.
Autor: JohnMark Taylor, Yaoda Xu
Publikováno v: PLoS ONE, Vol 16, Iss 6, p e0253442 (2021)
To interact with real-world objects, any effective visual system must jointly code the unique features defining each object. Despite decades of neuroscience research, we still lack a firm grasp on how the primate brain binds visual features. Here we
Externí odkaz: https://doaj.org/article/69297f41643541489609fdbcc26b45e4
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4
Comparing the Dominance of Color and Form Information across the Human Ventral Visual Pathway and Convolutional Neural Networks
Autor: JohnMark Taylor, Yaoda Xu
Publikováno v: Journal of Cognitive Neuroscience. 35:816-840
Color and form information can be decoded in every region of the human ventral visual hierarchy, and at every layer of many convolutional neural networks (CNNs) trained to recognize objects, but how does the coding strength of these features vary ove
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4ada1c4741599a8fc6af76d1db871713
https://doi.org/10.1162/jocn_a_01979
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5
TorchLens: A Python package for extracting and visualizing hidden activations of PyTorch models
Autor: JohnMark Taylor, Nikolaus Kriegeskorte
Publikováno v: bioRxiv
Deep neural network models (DNNs) are essential to modern AI and provide powerful models of information processing in biological neural networks. Researchers in both neuroscience and engineering are pursuing a better understanding of the internal rep
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e3482b884b5634b2105ff6d95ef747b
https://doi.org/10.1101/2023.03.16.532916
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6
Localized and Distributed Representations of Person Knowledge for Faces
Autor: Zarrar Shehzad, JohnMark Taylor, Gregory McCarthy
Modular neural models of face processing posit that face-associated person-knowledge is localized in, or accessed through, the ventral anterior temporal lobe (vATL). However, some studies have suggested that person-knowledge is more widely distribute
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::972717a73e7c877ad1dd04ab725589c6
https://doi.org/10.1101/2022.03.27.485948
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8
Representation of Color, Form, and their Conjunction across the Human Ventral Visual Pathway
Autor: JohnMark Taylor, Yaoda Xu
Despite decades of neuroscience research, our understanding of the relationship between color and form processing in the primate ventral visual pathway remains incomplete. Using fMRI multivoxel pattern analysis, this study examined the coding of colo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::475a438af5036d3e2cb411d923755e3a
https://doi.org/10.1101/2020.08.28.272815
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9
Joint Representation of Color and Shape in Convolutional Neural Networks: A Stimulus-rich Network Perspective
Autor: Yaoda Xu, JohnMark Taylor
To interact with real-world objects, any effective visual system must jointly code the unique features defining each object. Despite decades of neuroscience research, we still lack a firm grasp on how the primate brain binds visual features. Here we
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::484691e0ed2bef76dd002cdf756ac277
https://doi.org/10.1101/2020.08.11.246223
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