Zobrazeno 1 - 10
of 124
pro vyhledávání: '"James J Dicarlo"'
Autor:
Michael J Lee, James J DiCarlo
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 12, p e1011713 (2023)
A core problem in visual object learning is using a finite number of images of a new object to accurately identify that object in future, novel images. One longstanding, conceptual hypothesis asserts that this core problem is solved by adult brains t
Externí odkaz:
https://doaj.org/article/52d81f82071e4fdaa1f0e3c77f882b08
Publikováno v:
eLife, Vol 10 (2021)
Temporal continuity of object identity is a feature of natural visual input and is potentially exploited – in an unsupervised manner – by the ventral visual stream to build the neural representation in inferior temporal (IT) cortex. Here, we inve
Externí odkaz:
https://doaj.org/article/e16d6ccbf52f457ea330f26f7c2190f4
Publikováno v:
eLife, Vol 7 (2018)
Ventral visual stream neural responses are dynamic, even for static image presentations. However, dynamical neural models of visual cortex are lacking as most progress has been made modeling static, time-averaged responses. Here, we studied populatio
Externí odkaz:
https://doaj.org/article/cbf9415b7ce7413b9a6b2e8e330013f2
Autor:
Charles F Cadieu, Ha Hong, Daniel L K Yamins, Nicolas Pinto, Diego Ardila, Ethan A Solomon, Najib J Majaj, James J DiCarlo
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 12, p e1003963 (2014)
The primate visual system achieves remarkable visual object recognition performance even in brief presentations, and under changes to object exemplar, geometric transformations, and background variation (a.k.a. core visual object recognition). This r
Externí odkaz:
https://doaj.org/article/077725129a784f4d9eb56a3bb10dac5e
Autor:
Carlo Baldassi, Alireza Alemi-Neissi, Marino Pagan, James J Dicarlo, Riccardo Zecchina, Davide Zoccolan
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 8, p e1003167 (2013)
The anterior inferotemporal cortex (IT) is the highest stage along the hierarchy of visual areas that, in primates, processes visual objects. Although several lines of evidence suggest that IT primarily represents visual shape information, some recen
Externí odkaz:
https://doaj.org/article/359d654a9d32401f80700e07e74ac07d
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 11, p e1000579 (2009)
While many models of biological object recognition share a common set of "broad-stroke" properties, the performance of any one model depends strongly on the choice of parameters in a particular instantiation of that model--e.g., the number of units p
Externí odkaz:
https://doaj.org/article/4e67946dd96542668d5d9543e5c9af31
Publikováno v:
PLoS Computational Biology, Vol 4, Iss 1, p e27 (2008)
Progress in understanding the brain mechanisms underlying vision requires the construction of computational models that not only emulate the brain's anatomy and physiology, but ultimately match its performance on visual tasks. In recent years, "natur
Externí odkaz:
https://doaj.org/article/f86d5f7141c943bca26752402f16ecb8
Autor:
Eshed Margalit, Hyodong Lee, Dawn Finzi, James J. DiCarlo, Kalanit Grill-Spector, Daniel L. K. Yamins
Publikováno v:
bioRxiv
A key feature of many cortical systems is functional organization: the arrangement of neurons with specific functional properties in characteristic spatial patterns across the cortical surface. However, the principles underlying the emergence and uti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::578405db44f209ce5f7577a262205e5a
https://europepmc.org/articles/PMC10245753/
https://europepmc.org/articles/PMC10245753/
Autor:
Michael J. Lee, James J. DiCarlo
How humans learn new visual objects is a longstanding scientific problem. Previous work has led to a diverse collection of models for how object learning may be accomplished, but a current limitation in the field is a lack of empirical benchmarks tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7bf2aca3136fb81f783abde7a970a16
https://doi.org/10.1101/2022.12.31.522402
https://doi.org/10.1101/2022.12.31.522402
Publikováno v:
Nature Methods. 18:1112-1116
Optogenetic methods have been widely used in rodent brains, but remain relatively under-developed for nonhuman primates such as rhesus macaques, an animal model with a large brain expressing sophisticated sensory, motor and cognitive behaviors. To ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::868ba4179827bbeac7b783fb836403d6
https://doi.org/10.1038/s41592-021-01238-9
https://doi.org/10.1038/s41592-021-01238-9