Zobrazeno 1 - 10
of 2 931
pro vyhledávání: '"Konkle, A."'
We address the functional role of 'feature inhibition' in vision models; that is, what are the mechanisms by which a neural network ensures images do not express a given feature? We observe that standard interpretability tools in the literature are n
Externí odkaz:
http://arxiv.org/abs/2406.05598
Efforts to decode neural network vision models necessitate a comprehensive grasp of both the spatial and semantic facets governing feature responses within images. Most research has primarily centered around attribution methods, which provide explana
Externí odkaz:
http://arxiv.org/abs/2402.10039
Autor:
Peters, Benjamin, DiCarlo, James J., Gureckis, Todd, Haefner, Ralf, Isik, Leyla, Tenenbaum, Joshua, Konkle, Talia, Naselaris, Thomas, Stachenfeld, Kimberly, Tavares, Zenna, Tsao, Doris, Yildirim, Ilker, Kriegeskorte, Nikolaus
Vision is widely understood as an inference problem. However, two contrasting conceptions of the inference process have each been influential in research on biological vision as well as the engineering of machine vision. The first emphasizes bottom-u
Externí odkaz:
http://arxiv.org/abs/2401.06005
Autor:
Sucholutsky, Ilia, Muttenthaler, Lukas, Weller, Adrian, Peng, Andi, Bobu, Andreea, Kim, Been, Love, Bradley C., Grant, Erin, Groen, Iris, Achterberg, Jascha, Tenenbaum, Joshua B., Collins, Katherine M., Hermann, Katherine L., Oktar, Kerem, Greff, Klaus, Hebart, Martin N., Jacoby, Nori, Zhang, Qiuyi, Marjieh, Raja, Geirhos, Robert, Chen, Sherol, Kornblith, Simon, Rane, Sunayana, Konkle, Talia, O'Connell, Thomas P., Unterthiner, Thomas, Lampinen, Andrew K., Müller, Klaus-Robert, Toneva, Mariya, Griffiths, Thomas L.
Biological and artificial information processing systems form representations that they can use to categorize, reason, plan, navigate, and make decisions. How can we measure the extent to which the representations formed by these diverse systems agre
Externí odkaz:
http://arxiv.org/abs/2310.13018
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract The rapid release of high-performing computer vision models offers new potential to study the impact of different inductive biases on the emergent brain alignment of learned representations. Here, we perform controlled comparisons among a cu
Externí odkaz:
https://doaj.org/article/4a9d9673eef74db08c31173cc312dbd5
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract While human vision spans 220°, traditional functional MRI setups display images only up to central 10-15°. Thus, it remains unknown how the brain represents a scene perceived across the full visual field. Here, we introduce a method for ul
Externí odkaz:
https://doaj.org/article/1e0642d397614f77bada9a84d94a74d5
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Reproductive health promotion can enable early mitigation of behavioral and environmental risk factors associated with adverse pregnancy outcomes, while optimizing health of women + (all genders that can gestate a fetus) and babie
Externí odkaz:
https://doaj.org/article/075d5a9d814844528edeb9b9f0222723
Autor:
Doerig, Adrien, Sommers, Rowan, Seeliger, Katja, Richards, Blake, Ismael, Jenann, Lindsay, Grace, Kording, Konrad, Konkle, Talia, Van Gerven, Marcel A. J., Kriegeskorte, Nikolaus, Kietzmann, Tim C.
Artificial Neural Networks (ANNs) inspired by biology are beginning to be widely used to model behavioral and neural data, an approach we call neuroconnectionism. ANNs have been lauded as the current best models of information processing in the brain
Externí odkaz:
http://arxiv.org/abs/2209.03718
Autor:
Rebecca Keener, Surya B. Chhetri, Carla J. Connelly, Margaret A. Taub, Matthew P. Conomos, Joshua Weinstock, Bohan Ni, Benjamin Strober, Stella Aslibekyan, Paul L. Auer, Lucas Barwick, Lewis C. Becker, John Blangero, Eugene R. Bleecker, Jennifer A. Brody, Brian E. Cade, Juan C. Celedon, Yi-Cheng Chang, L. Adrienne Cupples, Brian Custer, Barry I. Freedman, Mark T. Gladwin, Susan R. Heckbert, Lifang Hou, Marguerite R. Irvin, Carmen R. Isasi, Jill M. Johnsen, Eimear E. Kenny, Charles Kooperberg, Ryan L. Minster, Take Naseri, Satupa’itea Viali, Sergei Nekhai, Nathan Pankratz, Patricia A. Peyser, Kent D. Taylor, Marilyn J. Telen, Baojun Wu, Lisa R. Yanek, Ivana V. Yang, Christine Albert, Donna K. Arnett, Allison E. Ashley-Koch, Kathleen C. Barnes, Joshua C. Bis, Thomas W. Blackwell, Eric Boerwinkle, Esteban G. Burchard, April P. Carson, Zhanghua Chen, Yii-Der Ida Chen, Dawood Darbar, Mariza de Andrade, Patrick T. Ellinor, Myriam Fornage, Bruce D. Gelb, Frank D. Gilliland, Jiang He, Talat Islam, Stefan Kaab, Sharon L. R. Kardia, Shannon Kelly, Barbara A. Konkle, Rajesh Kumar, Ruth J. F. Loos, Fernando D. Martinez, Stephen T. McGarvey, Deborah A. Meyers, Braxton D. Mitchell, Courtney G. Montgomery, Kari E. North, Nicholette D. Palmer, Juan M. Peralta, Benjamin A. Raby, Susan Redline, Stephen S. Rich, Dan Roden, Jerome I. Rotter, Ingo Ruczinski, David Schwartz, Frank Sciurba, M. Benjamin Shoemaker, Edwin K. Silverman, Moritz F. Sinner, Nicholas L. Smith, Albert V. Smith, Hemant K. Tiwari, Ramachandran S. Vasan, Scott T. Weiss, L. Keoki Williams, Yingze Zhang, Elad Ziv, Laura M. Raffield, Alexander P. Reiner, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Hematology and Hemostasis Working Group, TOPMed Structural Variation Working Group, Marios Arvanitis, Carol W. Greider, Rasika A. Mathias, Alexis Battle
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-21 (2024)
Abstract Genome-wide association studies (GWAS) have become well-powered to detect loci associated with telomere length. However, no prior work has validated genes nominated by GWAS to examine their role in telomere length regulation. We conducted a
Externí odkaz:
https://doaj.org/article/3e293e6c932a4a42b553d789d690044b
Deep convolutional neural networks are a powerful model class for a range of computer vision problems, but it is difficult to interpret the image filtering process they implement, given their sheer size. In this work, we introduce a method for extrac
Externí odkaz:
http://arxiv.org/abs/2206.01627