Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Daniel L. K. Yamins"'
Autor:
Aran Nayebi, Nathan C L Kong, Chengxu Zhuang, Justin L Gardner, Anthony M Norcia, Daniel L K Yamins
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 10, p e1011506 (2023)
Studies of the mouse visual system have revealed a variety of visual brain areas that are thought to support a multitude of behavioral capacities, ranging from stimulus-reward associations, to goal-directed navigation, and object-centric discriminati
Externí odkaz:
https://doaj.org/article/31d61b78409b402496caf43eccb439ec
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:
Pardis Miri, Mehul Arora, Aman Malhotra, Robert Flory, Stephanie Hu, Ashley Lowber, Ishan Goyal, Jacqueline Nguyen, John P Hegarty, Marlo D Kohn, David Schneider, Heather Culbertson, Daniel L. K. Yamins, Lawrence Fung, Antonio Hardan, James J. Gross, Keith Marzullo
Publikováno v:
CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71fc5fee7ffe2f6fdbfc4408837e63dd
https://doi.org/10.1145/3491102.3517619
https://doi.org/10.1145/3491102.3517619
Publikováno v:
Vision Research. 172:27-45
The ventral visual stream is known to be organized hierarchically, where early visual areas processing simplistic features feed into higher visual areas processing more complex features. Hierarchical convolutional neural networks (CNNs) were largely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5873f1a0858a215638b5f841348ceac7
https://doi.org/10.1016/j.visres.2020.04.005
https://doi.org/10.1016/j.visres.2020.04.005
Autor:
Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198175
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a9bbb74387f05f91b3008b3c65cc504
https://doi.org/10.1007/978-3-031-19818-2_41
https://doi.org/10.1007/978-3-031-19818-2_41
Autor:
Jeffrey D. Wammes, Kenneth A. Norman, Jordan B. Gunn, Judith E. Fan, Daniel L. K. Yamins, Nicholas B. Turk-Browne
Publikováno v:
The Journal of neuroscience : the official journal of the Society for Neuroscience, vol 40, iss 8
J Neurosci
J Neurosci
Drawing is a powerful tool that can be used to convey rich perceptual information about objects in the world. What are the neural mechanisms that enable us to produce a recognizable drawing of an object, and how does this visual production experience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f92bbf5392b25efb7489441dcdeecc32
https://doi.org/10.1523/jneurosci.1843-19.2019
https://doi.org/10.1523/jneurosci.1843-19.2019
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:
Aran Nayebi, Javier Sagastuy-Brena, Daniel M. Bear, Kohitij Kar, Jonas Kubilius, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins
Publikováno v:
Neural computation. 34(8)
The computational role of the abundant feedback connections in the ventral visual stream is unclear, enabling humans and nonhuman primates to effortlessly recognize objects across a multitude of viewing conditions. Prior studies have augmented feedfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25402cf988f3e63f2aac0cf5c409f1fe
https://pubmed.ncbi.nlm.nih.gov/35798321
https://pubmed.ncbi.nlm.nih.gov/35798321
Autor:
Michael Lingelbach, Judith E. Fan, Bria Long, Daniel L. K. Yamins, Samaher F Radwan, Daniel M. Bear, Michael C. Frank, George Kachergis
Author(s): Kachergis, George; Radwan, Samaher F; Long, Bria; Fan, Judith E.; Lingelbach, Michael; Bear, Daniel M; Yamins, Daniel L. K.; Frank, Michael C. | Abstract: Curiosity is a fundamental driver of human behavior, and yet because of its open-end
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00f5792c4adffcad43a75b68d1f28c9b
https://doi.org/10.31234/osf.io/xha3c
https://doi.org/10.31234/osf.io/xha3c
Autor:
Justin L. Gardner, Daniel L. K. Yamins, Nathan C. L. Kong, Aran Nayebi, Anthony M. Norcia, Chengxu Zhuang
Task-optimized deep convolutional neural networks are the most quantitatively accurate models of the primate ventral visual stream. However, such networks are implausible as models of the mouse visual system because mouse visual cortex has both lower
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0a36fe202afefaa6e93db20783e131a
https://doi.org/10.1101/2021.06.16.448730
https://doi.org/10.1101/2021.06.16.448730