Results 141 to 150 of about 802,306 (317)

The hippocampus and cerebellum in adaptively timed learning, recognition, and movement [PDF]

, 1995
The concepts of declarative memory and procedural memory have been used to distinguish two basic types of learning. A neural network model suggests how such memory processes work together as recognition learning, reinforcement learning, and sensory-motor
Grossberg, Stephen, Merrill, John W. L.
core   +1 more source

Precision Diagnostics in Sports‐Related Traumatic Brain Injury: Pathophysiology, Biomarker Development and Emerging Technologies

Advanced Sensor Research, EarlyView.
Sports‐related traumatic brain injuries (TBIs) remain underdiagnosed, within amateur athletic cohorts. This review critically synthesises recent advancements in AI‐assisted neuroimaging, blood‐based biomarker profiling, wearable biosensing platforms for early detection, injury stratification, and longitudinal surveillance of TBIs.
Daniel Nicol, Mohamed T. Patel, Debarati Bhowmik, Pola Goldberg Oppenheimer   +3 more
wiley   +1 more source

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

Advanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour, Elnaz Irannezhad, Rodney A. Stewart, Oz Sahin   +3 more
wiley   +1 more source

Structural Characterization and AI‐Enhanced Modeling of a Broadly Neutralizing Camelid Antibody Against SARS‐CoV‐2 Variants

Advanced Therapeutics, EarlyView.
This study characterizes a camelid antibody (B10) with potent neutralizing activity against SARS‐CoV‐2 Wildtype and Omicron variants. Through binding assays, epitope mapping, pseudovirus neutralization, and AI‐driven modeling, the antibody is shown to target conserved RBD regions in a closed Spike conformation.
Katja Hanack, Urszula Orzeł, Anja Schlör, Sourabh Mehta, Anandi Krishnan, Slawomir Filipek, Rushika Patel, Madhvi Joshi, Markus Hoffmann, Stefan Pöhlmann, Chaitanya Joshi, Dorian Liepmann, Ramasamy Paulmurugan, Venkatesan Renugopalakrishnan   +13 more
wiley   +1 more source

The application of systematic analytical thinking in teaching vocabulary for English majors

Acta Psychologica
The main goal of this study is to examine and demonstrate the effectiveness of applying systematic analytical thinking in the teaching of vocabulary to English majors. Specifically, the research aims to assess the impact of systematic analytical thinking
Weiwei Shi
doaj   +1 more source

Cuproptosis Signature Would Reveal the Acute‐Remitting Pattern in Patients with Neuromyelitis Optica Spectrum Disorder

Advanced Science, EarlyView.
Neuromyelitis optica spectrum disorder (NMOSD) has distinct acute‐remitting courses but lacks biomarkers for predicting relapse. Recent studies found cuproptosis‐related genes affect its course, and a model built accordingly can predict relapse to aid intervention.
Peidong Liu, Ruoyu Li, Xinlin Wang, Hui Li, Huiru Hu, Ang Shen, Wenping Zhu, Jiali Pan, Yanmeng Xing, Weiming Xia, Henan Jiao, Di Chen, Lixin Wu, Li Liu, Ju Liu, Bin Yu, Xianzhi Liu, Hongbo Liu   +17 more
wiley   +1 more source

Cognition in elite soccer players: a general model

Frontiers in Psychology
This paper presents a general model of the cognitive processes involved in each play situation of soccer at the elite level. Theoretically the model draws on general frameworks from cognitive psychology and neuroscience, in particular the affordance ...
Thomas Habekost, Jacob Ovesen, Jes Buster Madsen, Jes Buster Madsen   +3 more
doaj   +1 more source

Cracking the Valence Code: Patterned Facial Kinematics and Neural Signatures of Emotional Expressions in Mice

Advanced Science, EarlyView.
An AI‐powered system decodes emotional valence from mouse facial expressions, identifying ear dynamics as key indicators. By integrating facial kinematics with synchronized neural recordings, this approach establishes a direct link between behavior and brain activity, advancing automated emotion recognition in animal models.
Yujia Chen, Ruiqing Hou, Zhinan Chen, Junli Lu, Si Chen, Shisheng Xiong, Jianfeng Feng, Trevor W. Robbins, Haitao Yan, Xiao Xiao   +9 more
wiley   +1 more source

An investigation into the use of CCTV footage to improve likeness in facial composites

, 2006
Facial composites are an important investigative tool and have been used in numerous high-profile cases (e.g. Yorkshire Ripper). Despite this, a great deal of research has indicated that composites often portray very poor facial resemblance to the ...
Bruce, Vicki, Ness, Hayley
core  

Toward a Taxonomy and Computational Models of Abnormalities in Images

, 2015
The human visual system can spot an abnormal image, and reason about what makes it strange. This task has not received enough attention in computer vision.
Elgammal, Ahmed, Farhadi, Ali, Feldman, Jacob, Saleh, Babak   +3 more
core   +1 more source