Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Courtney J. Spoerer"'
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Do artificial neural networks, like brains, exhibit individual differences? Using tools from systems neuroscience, this study reveals substantial variability in network-internal representations, calling into question the neuroscientific practice of u
Externí odkaz:
https://doaj.org/article/2dc8aab8551349db9390fdc10d566c86
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
Externí odkaz:
https://doaj.org/article/2717f90650c045f6b96420da062ef3de
Publikováno v:
Frontiers in Psychology, Vol 8 (2017)
Feedforward neural networks provide the dominant model of how the brain performs visual object recognition. However, these networks lack the lateral and feedback connections, and the resulting recurrent neuronal dynamics, of the ventral visual pathwa
Externí odkaz:
https://doaj.org/article/d465059adc114a8487a86ade4f09bf87
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 10, p e1008215 (2020)
Deep feedforward neural network models of vision dominate in both computational neuroscience and engineering. The primate visual system, by contrast, contains abundant recurrent connections. Recurrent signal flow enables recycling of limited computat
Externí odkaz:
https://doaj.org/article/fe1c5085e4954f2eb774b4de06c5e5dc
Publikováno v:
Proceedings of the National Academy of Sciences USA, 118, 8
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences USA, 118
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences USA, 118
Significance Inspired by core principles of information processing in the brain, deep neural networks (DNNs) have demonstrated remarkable success in computer vision applications. At the same time, networks trained on the task of object classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c22058d631c629e623ab5a8f7b7fa1b1
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/231147
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/231147
Publikováno v:
Plos Computational Biology, 16, 10
PLoS Computational Biology
PLoS Computational Biology, Vol 16, Iss 10, p e1008215 (2020)
Plos Computational Biology, 16
PLoS Computational Biology
PLoS Computational Biology, Vol 16, Iss 10, p e1008215 (2020)
Plos Computational Biology, 16
Deep feedforward neural network models of vision dominate in both computational neuroscience and engineering. The primate visual system, by contrast, contains abundant recurrent connections. Recurrent signal flow enables recycling of limited computat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c227145782f7d4b20d04d6b4a6414d75
https://hdl.handle.net/2066/225297
https://hdl.handle.net/2066/225297
Autor:
Olaf Hauk, Courtney J. Spoerer, Nikolaus Kriegeskorte, Tim C. Kietzmann, Lynn K. A. Sörensen, Radoslaw Martin Cichy
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, 116(43), 21854-21863. National Academy of Sciences
Proceedings of the National Academy of Sciences USA, 116, 43, pp. 21854-21863
Proceedings of the National Academy of Sciences USA, 116, 21854-21863
Proceedings of the National Academy of Sciences of the United States of America, 116(43), 21854-21863. National Academy of Sciences
Proceedings of the National Academy of Sciences USA, 116, 43, pp. 21854-21863
Proceedings of the National Academy of Sciences USA, 116, 21854-21863
The human visual system is an intricate network of brain regions that enables us to recognize the world around us. Despite its abundant lateral and feedback connections, object processing is commonly viewed and studied as a feedforward process. Here,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74cdbee5ee1fdd2bcd4411b106ae93c7
https://www.repository.cam.ac.uk/handle/1810/304722
https://www.repository.cam.ac.uk/handle/1810/304722
Publikováno v:
2019 Conference on Cognitive Computational Neuroscience, 739-742. [S.l.] : [S.n.]
STARTPAGE=739;ENDPAGE=742;TITLE=2019 Conference on Cognitive Computational Neuroscience
2019 Conference on Cognitive Computational Neuroscience, pp. 739-742
STARTPAGE=739;ENDPAGE=742;TITLE=2019 Conference on Cognitive Computational Neuroscience
2019 Conference on Cognitive Computational Neuroscience, pp. 739-742
Deep feedforward neural network models of vision dominate in both computational neuroscience and engineering. However, the primate visual system contains abundant recurrent connections. Recurrent signal flow enables recycling of limited computational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d814a4b8e948b66c6215c37939b829fa
http://hdl.handle.net/2066/213571
http://hdl.handle.net/2066/213571
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
Autor:
Olaf Hauk, Courtney J. Spoerer, Radoslaw Martin Cichy, Nikolaus Kriegeskorte, Tim C. Kietzmann, Lynn K. A. Sörensen
Publikováno v:
2018 Conference on Cognitive Computational Neuroscience.