Results 101 to 110 of about 19,857,452 (252)

Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks

, 2017
The inquisitiveness about what happens in the brain has been there since the beginning of humankind. Functional magnetic resonance imaging is a prominent tool which helps in the non-invasive examination, localisation as well as lateralisation of brain ...
KM Arun, K Akhil Raja, Bejoy Thomas, Chandrasekharan Kesavadas, PG Rajesh, TR Kapilamoorthy, KA Smitha   +6 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Spontaneous Associations under Mild Compression of the Hippocampal Area

Вестник Московского университета. Серия 14: Психология
Background. The network principle of brain realization of cognitive phenomena assumes the self-organization of distributed neuronal elements into a network for processing information demanded by the organism at a given moment.
Olga A. Krotkova, Arina N. Kiseleva, Alesia S. Bychkova, Mariya U. Kaverina   +3 more
doaj   +1 more source

Resting-state functional connectivity matrices

, 2015
Resting-state functional connectivity matrices, in MATLAB data format (.mat)
Danielle S. Bassett (215337), Bassett, Danielle S., Michael W. Cole (833026), Cole, Michael W., Sharon L. Thompson-Schill (506355), Marcelo G. Mattar (833025), Mattar, Marcelo G., Thompson-Schill, Sharon L.   +7 more
core   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Resting-state functional magnetic resonance imaging for language preoperative planning

Frontiers in Human Neuroscience, 2016
Functional magnetic resonance imaging, fMRI, is a well-known non-invasive technique for the study of brain function. One of its most common clinical applications is preoperative language mapping, essential for the preservation of function in ...
Paulo eBranco, Daniela eSeixas, Daniela eSeixas, Sabine eDeprez, Sabine eDeprez, Sabine eDeprez, Silvia eKovacs, Silvia eKovacs, Silvia eKovacs, Ronald ePeeters, Ronald ePeeters, Ronald ePeeters, São Luís eCastro, Stefan eSunaert, Stefan eSunaert, Stefan eSunaert   +15 more
doaj   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Algorithm for the identification of resting state independent networks in fMRI

, 2017
Studies have shown that the brain is constituted by anatomically segregated and functionally specific regions working in synergy as a complex network. In this context, the brain at rest does not passively retrieve environmental information and respond ...
Donnelly Kehoe, Patricio Andres, Juan C. Gomez, Jorge Nagel, Patricio Donnelly Kehoe, Nagel, Jorge Ricardo, Gomez, Juan Carlos   +5 more
core   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source