Results 141 to 150 of about 1,951,824 (276)

Grounding and Operationalising the SYNAPSE Model: Design Principles and Observable Indicators for Human‐Centered, AI‐Augmented Learning

Future in Educational Research, EarlyView.
ABSTRACT This article consolidates and operationalises SYNAPSE, a human‐centered model that structures learning in four interrelated phases—Sensory Input, Network Adaptation, Participation, and Storage & Embodiment—for education in the age of artificial intelligence (AI).
Sarah Chardonnens, Srushti Satoskar
wiley   +1 more source

Categories or dimensions? A critical systematic review of taxometric evidence in autism, ADHD, and language disorders

JCPP Advances, EarlyView.
Abstract Background Taxometric analysis is designed to test whether the latent structure underlying clinical conditions is categorical (taxonic) or dimensional. Despite its relevance to ongoing debates on neurodevelopmental conditions, its application to this field remains limited.
Enrico Toffalini, Margherita Calderan, Riccardo Pagan, Valentina Tobia, Edmund Sonuga‐Barke   +4 more
wiley   +1 more source

Neural and perceptual manifolds regarded geometrically. [PDF]

J Vis
Westheimer G.
europepmc   +1 more source

Artificial intelligence in orthopaedics should be built with surgeons, not just for them!

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Surgical artificial intelligence (AI) is typically validated on one patient population and then deployed unchanged into another, without surgeon input into its design. AI in orthopaedics should be built with surgeons, not simply for them: Surgeons should hold shared authority over the clinical question, data curation, validation ...
Felix C. Oettl, Balint Zsidai, Jacob F. Oeding, Ting Cong, Elmar Herbst, Gergely Pánics, Philipp W. Winkler, Volker Musahl, Eric Hamrin Senorski, Romain Seil, Christophe Ley, Yinan Yu, Thomas Tischer, Stefano Zaffagnini, Umile Giuseppe Longo, Michael T. Hirschmann, Michael Hantes, Kristian Samuelsson, ESSKA AI Committee   +18 more
wiley   +1 more source

Spatiotemporal Tau Accumulation and its Clinical Impact on Progressive Supranuclear Palsy: Longitudinal Florzolotau (18F) Positron Emission Tomography

Movement Disorders, EarlyView.
Abstract Background Florzolotau (18F) positron emission tomography (florzolotau PET) enables high‐contrast in vivo detection of four‐repeat tau pathology in progressive supranuclear palsy (PSP), but whether longitudinal tau imaging reflects disease progression remains unclear.
Yoshikazu Chishiki, Kenji Tagai, Yuko Kataoka, Ryoji Goto, Kenta Osawa, Asaka Oyama, Hideki Matsumoto, Masanori Ichihashi, Yuki Momota, Tetsuji Kamada, Chie Seki, Kiwamu Matsuoka, Kosei Hirata, Shin Kurose, Sho Moriguchi, Yuki Komatsu, Hideo Kato, Yasuharu Yamamoto, Yoshikazu Nakano, Shigeki Hirano, Hitoshi Shinotoh, Hitoshi Shimada, Tokahiko Tokuda, Kazunori Kawamura, Ming‐Rong Zhang, Keisuke Takahata, Makoto Higuchi, Hironobu Endo   +27 more
wiley   +1 more source

Analyzing rescaling, discretization, and linearization in RNNs for neural system modeling. [PDF]

Front Comput Neurosci
Caruso M, Jarne C.
europepmc   +1 more source

Multimodal Magnetic Resonance Imaging and Machine Learning Uncovers Distinct Progression Patterns in Friedreich Ataxia

Movement Disorders, EarlyView.
Abstract Background Friedreich ataxia (FRDA) is a rare neurodegenerative disorder with heterogenous clinical progression, complicating prognosis and trial design. Neuroimaging offers objective biomarkers of disease progression, yet variability in progression patterns remains poorly understood.
Susmita Saha, Nellie Georgiou‐Karistianis, Vivienne Teo, Louise A. Corben, David J. Szmulewicz, Lachlan T. Strike, Marcondes C. França Jr., Thiago J.R. Rezende, Ian H. Harding   +8 more
wiley   +1 more source

Numerosity estimation in children with ADHD across space, time, vision and action. [PDF]

Front Hum Neurosci
Anobile G, Ditano S, Martelli S, Ricci F, Bieber E, Pfanner C, Tinelli F.   +6 more
europepmc   +1 more source

Cross-talk in economics and neuroscience [PDF]

Neuroeconomics is a recent extension of behavioral economics which aims at uncovering the brain mechanisms and activities that mediate regular and anomalous behaviour. Gul and Pesendorfer (2005) have launched a critique against the neuroeconomic research
Sacha Bourgeois-Gironde, Carl Schoonover
core  

Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this study, we delve into the stochastic Hirota–Maccari system, which is subjected to multiplicative noise according to the Itô sense. The stochastic Hirota–Maccari system is significant for its ability to accurately model how stochastic affects nonlinear wave propagation, providing valuable insights into complex systems like fluid dynamics
Mohamed E. M. Alngar, Khaled A. Gepreel, Reham M. A. Shohib, Yakup Yildirim   +3 more
wiley   +1 more source