Results 1 to 10 of about 4,259,035 (289)

Multisite schizophrenia classification by integrating structural magnetic resonance imaging data with polygenic risk score

NeuroImage: Clinical, 2021
Previous brain structural magnetic resonance imaging studies reported that patients with schizophrenia have brain structural abnormalities, which have been used to discriminate schizophrenia patients from normal controls.
Ke Hu, Meng Wang, Yong Liu, Hao Yan, Ming Song, Jun Chen, Yunchun Chen, Huaning Wang, Hua Guo, Ping Wan, Luxian Lv, Yongfeng Yang, Peng Li, Lin Lu, Jun Yan, Huiling Wang, Hongxing Zhang, Dai Zhang, Huawang Wu, Yuping Ning, Tianzi Jiang, Bing Liu   +21 more
doaj   +1 more source

Resting-state coupling between core regions within the central-executive and salience networks contributes to working memory performance

Frontiers in Behavioral Neuroscience, 2016
Previous studies investigated the distinct roles played by different cognitive regions and suggested that the patterns of connectivity of these regions are associated with working memory.
Xiaojing eFang, Yuanchao eZhang, Yuan eZhou, Luqi eCheng, Jin eLi, Yulin eWang, Karl eFriston, Tianzi eJiang, Tianzi eJiang, Tianzi eJiang, Tianzi eJiang, Tianzi eJiang   +11 more
doaj   +1 more source

GaitAE: A Cognitive Model-Based Autoencoding Technique for Gait Recognition

Mathematics
Gait recognition is a long-distance biometric technique with significant potential for applications in crime prevention, forensic identification, and criminal investigations.
Rui Li, Huakang Li, Yidan Qiu, Jinchang Ren, Wing W. Y. Ng, Huimin Zhao   +5 more
doaj   +1 more source

Genetic variations in the serotoninergic system contribute to amygdala volume in humans

Frontiers in Neuroanatomy, 2015
The amygdala plays a critical role in emotion processing and psychiatric disorders associated with emotion dysfunction. Accumulating evidence suggests that amygdala structure is modulated by serotonin-related genes.
Jin eLi, Chunhui eChen, Karen eWu, Mingxia eZhang, Bi eZhu, Chuansheng eChen, Robert K Moyzis, Robert K Moyzis, Qi eDong   +8 more
doaj   +1 more source

Tracking Emotions Using an Evolutionary Model of Mental State Transitions: Introducing a New Paradigm

Intelligent Computing
Owing to rapid advancements in artificial intelligence, the role of emotion recognition has become paramount in human–computer interaction. Traditional approaches often reduce this intricate task to a mere classification problem by relying heavily on ...
Fu-Ji Ren, Yang-Yang Zhou, Jia-Wen Deng, Kazuyuki Matsumoto, Duo Feng, Tian-Hao She, Zi-Yun Jiao, Zheng Liu, Tai-Hao Li, Satoshi Nakagawa, Xin Kang   +10 more
doaj   +1 more source

Exploring biases related to the use of large language models in a multilingual depression corpus

Scientific Reports
Recent advancements in Large Language Models (LLMs) present promising opportunities for applying these technologies to aid the detection and monitoring of Major Depressive Disorder.
Paula Andrea Perez-Toro, Judith Dineley, Raquel Iniesta, Yuezhou Zhang, Faith Matcham, Sara Siddi, Femke Lamers, Josep Maria Haro, Brenda W. J. H. Penninx, Amos A. Folarin, Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Elmar Nöth, Andreas Maier, Til Wykes, Srinivasan Vairavan, Richard Dobson, Vaibhav A. Narayan, Matthew Hotopf, Nicholas Cummins   +19 more
doaj   +1 more source

Marketing and Data Science: Together the Future is Ours

GfK Marketing Intelligence Review, 2016
The synergistic use of computer science and marketing science techniques offers the best avenue for knowledge development and improved applications. A broad area of complementarity between the typical focus in statistics and computer science and that in ...
Chintagunta Pradeep, Hanssens Dominique M., Hauser John R.   +2 more
doaj   +1 more source

High-altitude cerebral oxygen saturation detection using wireless wearable cerebral oximeter

Frontiers in Neurology
BackgroundHypobaric hypoxic conditions encountered at high altitudes can significantly impact the physiological functions of human body. Therefore, accurate and real-time monitoring of physiological characteristics is crucial for the prevention of brain ...
Juanning Si, Yifang He, Junyuan Yao, Jian Yu, Jian Yu, Rixing Jing, Qing He, Xin Zhang, Xin Zhang, Lijun Xiao, Lijun Xiao   +10 more
doaj   +1 more source

Elastic Patterns: A Deformation-Based Approach to Interpretable Classification

Mathematics
Elastic Patterns are presented as a novel approach to prototype-based pattern classification that integrates concepts from cognitive psychology, fuzzy logic, and physics.
Ruben Rodriguez-Cardos, Jose A. Olivas
doaj   +1 more source

A Verification in Psychological Experiment Result of Pattern Recognition by the Induction Field Model in Vision.

The Journal of the Institute of Television Engineers of Japan, 1996
The induction field model in vision can uniformly explain some experimental psychological results of a pattern recognition process. Many research activities make efforts to explain various psychological experiments of pattern recognition. However, there is no mathematical model that can uniformly explain these experiments.
openaire   +2 more sources