Zobrazeno 1 - 10
of 391
pro vyhledávání: '"P Dörig"'
Autor:
Paßler, Marlo, Doerig, Adrien
Neurophenomenal structuralism posits that conscious experiences are defined relationally and that their phenomenal structures are mirrored by neural structures. While this approach offers a promising framework for identifying neural correlates of con
Externí odkaz:
http://arxiv.org/abs/2412.20873
How does the brain control attention? The Attention Schema Theory suggests that the brain explicitly models its state of attention, termed an attention schema, for its control. However, it remains unclear under which circumstances an attention schema
Externí odkaz:
http://arxiv.org/abs/2402.01056
Recurrent neural networks (RNNs) have yielded promising results for both recognizing objects in challenging conditions and modeling aspects of primate vision. However, the representational dynamics of recurrent computations remain poorly understood,
Externí odkaz:
http://arxiv.org/abs/2308.12435
Autor:
Lu, Zejin, Doerig, Adrien, Bosch, Victoria, Krahmer, Bas, Kaiser, Daniel, Cichy, Radoslaw M, Kietzmann, Tim C
Computational models are an essential tool for understanding the origin and functions of the topographic organisation of the primate visual system. Yet, vision is most commonly modelled by convolutional neural networks that ignore topography by learn
Externí odkaz:
http://arxiv.org/abs/2308.09431
Autor:
Corinne Kehl, Magdalena Suter, Embla Johannesdottir, Monika Dörig, Christian Bangerter, Michael L. Meier, Stefan Schmid
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Low back pain (LBP) is a global issue involving biological, psychological, and social factors. Pain-related fear has been shown to influence movement behavior, however, its association with some measures of movement behavior, such as spinal
Externí odkaz:
https://doaj.org/article/12365fa00dc24406a30e9a90c3f4e6ee
Autor:
Doerig, Adrien, Kietzmann, Tim C, Allen, Emily, Wu, Yihan, Naselaris, Thomas, Kay, Kendrick, Charest, Ian
The human brain extracts complex information from visual inputs, including objects, their spatial and semantic interrelations, and their interactions with the environment. However, a quantitative approach for studying this information remains elusive
Externí odkaz:
http://arxiv.org/abs/2209.11737
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
Publikováno v:
Vision Research, 167, 39-45 (2020)
Feedforward Convolutional Neural Networks (ffCNNs) have become state-of-the-art models both in computer vision and neuroscience. However, human-like performance of ffCNNs does not necessarily imply human-like computations. Previous studies have sugge
Externí odkaz:
http://arxiv.org/abs/2004.12676
Autor:
Alexandros Guekos, David M. Cole, Monika Dörig, Philipp Stämpfli, Louis Schibli, Philipp Schuetz, Petra Schweinhardt, Michael L. Meier
Publikováno v:
NeuroImage, Vol 283, Iss , Pp 120431- (2023)
Cortical reorganization and its potential pathological significance are being increasingly studied in musculoskeletal disorders such as chronic low back pain (CLBP) patients. However, detailed sensory-topographic maps of the human back are lacking, a
Externí odkaz:
https://doaj.org/article/e61d885fce8847cbb8c8c15352151250
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.