Zobrazeno 1 - 10
of 2 701
pro vyhledávání: '"Achterberg, P."'
Methods for analyzing representations in neural systems are increasingly popular tools in neuroscience and mechanistic interpretability. Measures comparing neural activations across conditions, architectures, and species give scalable ways to underst
Externí odkaz:
http://arxiv.org/abs/2410.24070
In this paper, we focus on Dynamic Execution techniques that optimize the computation flow based on input. This aims to identify simpler problems that can be solved using fewer resources, similar to human cognition. The techniques discussed include e
Externí odkaz:
http://arxiv.org/abs/2411.00853
Understanding how biological constraints shape neural computation is a central goal of computational neuroscience. Spatially embedded recurrent neural networks provide a promising avenue to study how modelled constraints shape the combined structural
Externí odkaz:
http://arxiv.org/abs/2409.17693
Autor:
van Dijk, Bram, Islam, Saif ul, Achterberg, Jim, Waseem, Hafiz Muhammad, Gallos, Parisis, Epiphaniou, Gregory, Maple, Carsten, Haas, Marcel, Spruit, Marco
Data-driven technologies have improved the efficiency, reliability and effectiveness of healthcare services, but come with an increasing demand for data, which is challenging due to privacy-related constraints on sharing data in healthcare contexts.
Externí odkaz:
http://arxiv.org/abs/2409.00701
Autor:
He, Zhonghao, Achterberg, Jascha, Collins, Katie, Nejad, Kevin, Akarca, Danyal, Yang, Yinzhu, Gurnee, Wes, Sucholutsky, Ilia, Tang, Yuhan, Ianov, Rebeca, Ogden, George, Li, Chole, Sandbrink, Kai, Casper, Stephen, Ivanova, Anna, Lindsay, Grace W.
As deep learning systems are scaled up to many billions of parameters, relating their internal structure to external behaviors becomes very challenging. Although daunting, this problem is not new: Neuroscientists and cognitive scientists have accumul
Externí odkaz:
http://arxiv.org/abs/2408.12664
We propose a generalization of the adaptive N-Intertwined Mean-Field Approximation (aNIMFA) model studied in \emph{Achterberg and Sensi} \cite{achterbergsensi2022adaptive} to a heterogeneous network of communities. In particular, the multigroup aNIMF
Externí odkaz:
http://arxiv.org/abs/2407.17639
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:
ZooKeys, Vol 1217, Iss , Pp 173-193 (2024)
Five new species of the genus Phaenocarpa Foester, 1863 (Braconidae: Alysiinae) are described and illustrated: P. acutidentata Sohn & van Achterberg, sp. nov., P. tacitoides Sohn & van Achterberg, sp. nov., P. setosa Sohn & van Achterberg, sp. nov.,
Externí odkaz:
https://doaj.org/article/372c5af924564c02a5564eb360ab4ba7
Trainees’ perspectives and recommendations for catalyzing the next generation of NeuroAI researchers
Autor:
Andrea I. Luppi, Jascha Achterberg, Samuel Schmidgall, Isil Poyraz Bilgin, Peer Herholz, Maximilian Sprang, Benjamin Fockter, Andrew Siyoon Ham, Sushrut Thorat, Rojin Ziaei, Filip Milisav, Alexandra M. Proca, Hanna M. Tolle, Laura E. Suárez, Paul Scotti, Helena M. Gellersen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-7 (2024)
At this critical juncture in the development of NeuroAI, we outline challenges and training needs of junior researchers working across AI and neuroscience. We also provide advice and resources to help trainees plan their NeuroAI careers.
Externí odkaz:
https://doaj.org/article/4d00e88d4168494f95302ff60b8133c9
Autor:
Zhouling Zhang, Antao Xu, Ed Hathorne, Marcus Gutjahr, Thomas J. Browning, Kathleen J. Gosnell, Te Liu, Zvi Steiner, Rainer Kiko, Zhongwei Yuan, Haoran Liu, Eric P. Achterberg, Martin Frank
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract The January 2022 eruption of the Hunga Tonga-Hunga Ha’apai (HTHH) volcano discharged 2,900 teragrams of ejecta, most of which was deposited in the South Pacific Ocean. Here we investigate its impact on the biogeochemistry of the South Paci
Externí odkaz:
https://doaj.org/article/613136d30a8e4efda172bfeb1702eb10