Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Georgin Jacob"'
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Deep neural networks are widely considered as good models for biological vision. Here, we describe several qualitative similarities and differences in object representations between brains and deep networks that elucidate when deep networks can be co
Externí odkaz:
https://doaj.org/article/7cd522eabc00490c92594ee4a265578b
Publikováno v:
eLife, Vol 10 (2021)
Macaque monkeys are widely used to study vision. In the traditional approach, monkeys are brought into a lab to perform visual tasks while they are restrained to obtain stable eye tracking and neural recordings. Here, we describe a novel environment
Externí odkaz:
https://doaj.org/article/8918b2daa6a84739a565ff510d279107
Many visual tasks involve looking for specific object features. But we also often solve generic tasks where we look for a specific property, such as finding an odd item, deciding if two items are same, or if an object has symmetry. How do we solve su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f92362de2f2d84cfb12a5ee541d358b
https://doi.org/10.1101/2022.12.03.518965
https://doi.org/10.1101/2022.12.03.518965
Autor:
Georgin Jacob, SP Arun
Publikováno v:
Journal of Vision. 22:4110
Autor:
Georgin Jacob, Thomas Cherian, Kalathupiriyan A. Zhivago, Harish Katti, Jhilik Das, S. P. Arun
Macaque monkeys are widely used to study the neural basis of cognition. In the traditional approach, the monkey is brought into a lab to perform tasks while it is restrained to obtain stable gaze tracking and neural recordings. This unnatural setting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7668caa5a03c8adfd2d86e1ef7b9b47
https://doi.org/10.1101/2020.09.25.311555
https://doi.org/10.1101/2020.09.25.311555
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Deep neural networks have revolutionized computer vision, and their object representations across layers match coarsely with visual cortical areas in the brain. However, whether these representations exhibit qualitative patterns seen in human percept
Deep neural networks have revolutionized computer vision, and their object representations match coarsely with the brain. As a result, it is widely believed that any fine scale differences between deep networks and brains can be fixed with increased
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89b0f1301b9e444176892c1b2a021e56
https://doi.org/10.1101/860759
https://doi.org/10.1101/860759
Autor:
S. P. Arun, Georgin Jacob
Publikováno v:
Journal of Vision. 21:2691
Autor:
S. P. Arun, Georgin Jacob
Publikováno v:
Journal of Vision
Hierarchical stimuli have been widely used to study global and local processing. Two classic phenomena have been observed using these stimuli: the global advantage effect (we identify the global shape faster) and an interference effect (we identify s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80852cd521d1158ec36e17344cb24ab3
https://doi.org/10.1101/777110
https://doi.org/10.1101/777110