Zobrazeno 1 - 10
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pro vyhledávání: '"W. Layton"'
Autor:
Oliver W. Layton, Scott T. Steinmetz
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Accuracy-optimized convolutional neural networks (CNNs) have emerged as highly effective models at predicting neural responses in brain areas along the primate ventral stream, but it is largely unknown whether they effectively model neurons in the co
Externí odkaz:
https://doaj.org/article/b8dd2806c2734f29b9b356ab2b67d6ae
Autor:
Oliver W. Layton, Brett R. Fajen
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Self-motion along linear paths without eye movements creates optic flow that radiates from the direction of travel (heading). Optic flow-sensitive neurons in primate brain area MSTd have been linked to linear heading perception, but the neur
Externí odkaz:
https://doaj.org/article/3489ec1a244846ab8907dbe95152445d
Publikováno v:
Frontiers in Psychology, Vol 13 (2023)
Human observers are capable of perceiving the motion of moving objects relative to the stationary world, even while undergoing self-motion. Perceiving world-relative object motion is complicated because the local optical motion of objects is influenc
Externí odkaz:
https://doaj.org/article/947e8d9a49674c4a93ca4ce048a50052
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
This paper introduces a self-tuning mechanism for capturing rapid adaptation to changing visual stimuli by a population of neurons. Building upon the principles of efficient sensory encoding, we show how neural tuning curve parameters can be continua
Externí odkaz:
https://doaj.org/article/15148a38993b4eff87fac864f48ab41c
Autor:
Natalie Maus, Oliver W. Layton
Publikováno v:
Neural Networks. 154:383-396
Convolutional neural networks (CNNs) have made significant advances over the past decade with visual recognition, matching or exceeding human performance on certain tasks. Visual recognition is subserved by the ventral stream of the visual system, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d708882e03afa7cf8f8fbfd013535195
https://doi.org/10.1016/j.neunet.2022.07.007
https://doi.org/10.1016/j.neunet.2022.07.007
Autor:
Oliver W. Layton
Publikováno v:
Sensors, Vol 21, Iss 24, p 8217 (2021)
Most algorithms for steering, obstacle avoidance, and moving object detection rely on accurate self-motion estimation, a problem animals solve in real time as they navigate through diverse environments. One biological solution leverages optic flow, t
Externí odkaz:
https://doaj.org/article/2210e6ac83704484b5b66afd8c777c16
Autor:
Oliver W Layton, D C Niehorster
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 11, p e1007397 (2019)
Many everyday interactions with moving objects benefit from an accurate perception of their movement. Self-motion, however, complicates object motion perception because it generates a global pattern of motion on the observer's retina and radically in
Externí odkaz:
https://doaj.org/article/c5f7ad1430dc41db956a8f2d009a6629
Akademický článek
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Autor:
David W. Layton
Publikováno v:
Галактика медиа: журнал медиа исследований, Vol 3, Iss 3, Pp 321-343 (2021)
One of the more popular transhumanist ideas is the belief that technology will allow for the transfer of human personality into a machine or cyborg body. Additionally, some transhumanists believe that this transfer could happen with few to no problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6df7090bcb994866a9f1af77a0410be
https://doi.org/10.46539/gmd.v3i3.173
https://doi.org/10.46539/gmd.v3i3.173
Akademický článek
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