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If carbon fibre layers are prevented from slipping over one another as they consolidate onto a non-trivial geometry, they can be particularly susceptible to wrinkling/buckling instabilities. A one dimensional model for wrinkling during…

Pattern Formation and Solitons · Physics 2013-05-15 Timothy J. Dodwell , Richard Butler , Giles W. Hunt

Brain is one of the most energy demanding organs in mammals, and its total metabolic rate scales with brain volume raised to a power of around 5/6. This value is significantly higher than the more common exponent 3/4 relating whole body…

Neurons and Cognition · Quantitative Biology 2011-11-16 Jan Karbowski

Synthetic neuroimaging data can mitigate critical limitations of real-world datasets, including the scarcity of rare phenotypes, domain shifts across scanners, and insufficient longitudinal coverage. However, existing generative models…

Computer Vision and Pattern Recognition · Computer Science 2026-01-28 Fabian Bongratz , Yitong Li , Sama Elbaroudy , Christian Wachinger

Moir\'e superstructures arising at twisted 2D interfaces have recently attracted the attention of the scientific community due to exotic quantum states and unique mechanical and tribological behaviors that they exhibit. Here, we predict the…

Mesoscale and Nanoscale Physics · Physics 2025-01-16 Andrea Silva , Xiang Gao , Melisa M. Gianetti , Roberto Guerra , Nicola Manini , Andrea Vanossi , Michael Urbakh , Oded Hod

Evolution is presented as a trial-and-error process that produces a progressive accumulation of knowledge. At the level of technology, this leads to ephemeralization, i.e. ever increasing productivity, or decreasing of the friction that…

Computers and Society · Computer Science 2007-05-23 Francis Heylighen

Understanding how large neural networks avoid memorizing training data is key to explaining their high generalization performance. To examine the structure of when and where memorization occurs in a deep network, we use a recently developed…

Machine Learning · Computer Science 2021-06-01 Cory Stephenson , Suchismita Padhy , Abhinav Ganesh , Yue Hui , Hanlin Tang , SueYeon Chung

A growing literature in computational neuroscience leverages gradient descent and learning algorithms that approximate it to study synaptic plasticity in the brain. However, the vast majority of this work ignores a critical underlying…

Neurons and Cognition · Quantitative Biology 2024-03-06 Roman Pogodin , Jonathan Cornford , Arna Ghosh , Gauthier Gidel , Guillaume Lajoie , Blake Richards

Neural theories of consciousness face three difficulties: (1) The selection problem: how are those neurons which cause consciousness selected, from all the other neurons which do not? (2) the precision problem: how do neurons hold a…

Neurons and Cognition · Quantitative Biology 2024-05-21 Robert Worden

A brane universe moving in a curved higher dimensional bulk space is considered. The motion induces a cosmological evolution on the universe brane that is indistiguishable from a similar one induced by matter density on the brane. The…

High Energy Physics - Theory · Physics 2009-10-31 A. Kehagias , E. Kiritsis

We investigate the propagation of magnetic skyrmions on elastically deformable geometries by employing imaginary time quantum field theory methods. We demonstrate that the Euclidean action of the problem carries information of the elements…

Mesoscale and Nanoscale Physics · Physics 2020-09-15 Alexander Pavlis , Christina Psaroudaki

During development, organisms acquire three-dimensional shapes with important physiological consequences. While the basic mechanisms underlying morphogenesis are known in eukaryotes, it is often difficult to manipulate them in vivo. To…

Soft elastic sheets resting on rigid surfaces develop wrinkles, rucks, and folds due to the combined influence of elasticity, gravity, and contact interactions. Despite their ubiquity, the principles governing their morphology and…

Soft Condensed Matter · Physics 2026-05-18 Keisuke Yoshida , Hirofumi Wada

Experiments have shown that shear waves induced in brain tissue can develop into shock waves, thus providing a possible explanation of deep traumatic brain injuries. Here, we study the formation of shock waves in soft viscoelastic solids…

Soft Condensed Matter · Physics 2022-02-08 Harold Berjamin , Chockalingam Senthilnathan

Over the past decade, studies of naturalistic language processing where participants are scanned while listening to continuous text have flourished. Using word embeddings at first, then large language models, researchers have created…

Computation and Language · Computer Science 2024-11-05 Laurent Bonnasse-Gahot , Christophe Pallier

Signatures of the vulcanization transition--amorphous solidification induced by the random crosslinking of macromolecules--include the random localization of a fraction of the particles and the emergence of a nonzero static shear modulus. A…

Disordered Systems and Neural Networks · Physics 2009-10-30 Horacio E. Castillo , Paul M. Goldbart

The reconstruction of cerebral cortex surfaces from brain MRI scans is instrumental for the analysis of brain morphology and the detection of cortical thinning in neurodegenerative diseases like Alzheimer's disease (AD). Moreover, for a…

Neurons and Cognition · Quantitative Biology 2022-10-05 Anne-Marie Rickmann , Fabian Bongratz , Sebastian Pölsterl , Ignacio Sarasua , Christian Wachinger

Brain aging is a widely studied longitudinal process throughout which the brain undergoes considerable morphological changes and various machine learning approaches have been proposed to analyze it. Within this context, brain age prediction…

Computer Vision and Pattern Recognition · Computer Science 2020-11-30 Matthias Wilms , Jordan J. Bannister , Pauline Mouches , M. Ethan MacDonald , Deepthi Rajashekar , Sönke Langner , Nils D. Forkert

We construct brane solutions in six dimensional Einstein-Skyrme systems. A class of baby skyrmion solutions realize warped compactification of the extra dimensions and gravity localization on the brane for negative bulk cosmological…

High Energy Physics - Theory · Physics 2008-07-28 Yuta Kodama , Kento Kokubu , Nobuyuki Sawado

Multimodal MRI offers complementary multi-scale information to characterize the brain structure. However, it remains challenging to effectively integrate multimodal MRI while achieving neuroscience interpretability. Here we propose to use…

Neurons and Cognition · Quantitative Biology 2025-12-15 Chengzhi Xia , Jianwei Chen , Yixuan Jiang , Qi Yan , Chao Li

Biological processes, from morphogenesis to tumor invasion, spontaneously generate shear stresses inside living tissue. The mechanisms that govern the transmission of mechanical forces in epithelia and the collective response of the tissue…

Soft Condensed Matter · Physics 2022-11-29 Junxiang Huang , James O. Cochran , Suzanne M. Fielding , M. Cristina Marchetti , Dapeng Bi
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