Results 21 to 30 of about 3,545,579 (292)

Common and unique multimodal covarying patterns in autism spectrum disorder subtypes

Molecular Autism, 2020
Background The heterogeneity inherent in autism spectrum disorder (ASD) presents a substantial challenge to diagnosis and precision treatment. Heterogeneity across biological etiologies, genetics, neural systems, neurocognitive attributes and clinical ...
Shile Qi, Robin Morris, Jessica A. Turner, Zening Fu, Rongtao Jiang, Thomas P. Deramus, Dongmei Zhi, Vince D. Calhoun, Jing Sui   +8 more
doaj   +1 more source

An EEG Neurofeedback Interactive Model for Emotional Classification of Electronic Music Compositions Considering Multi-Brain Synergistic Brain-Computer Interfaces

Frontiers in Psychology, 2022
This paper presents an in-depth study and analysis of the emotional classification of EEG neurofeedback interactive electronic music compositions using a multi-brain collaborative brain-computer interface (BCI).
Mingxing Liu
doaj   +1 more source

The neural correlates of risk propensity in males and females using resting-state fMRI

Frontiers in Behavioral Neuroscience, 2014
Men are more risk prone than women, but the underlying basis remains unclear. To investigate this question, we developed a trait-like measure of risk propensity which we correlated with resting-state functional connectivity to identify sex differences ...
Yuan eZhou, Shu eLi, John C. Dunn, Huandong eLi, Wen eQin, Maohu eZhu, Lilin eRao, Chunshui eYu, Tianzi eJiang   +8 more
doaj   +1 more source

A Psychological Analysis of the Personality Type of King in Masnavi’s Story of ‘King and Maid’ Based on the Model of Enneagram [PDF]

Matn/Pizhūhī-i Adabī, 2017
Enneagram is one of the important patterns for character recognition in modern psychology that can be used for the recognition of a person’s personality type from among the nine possible personality types.
Bita Rezaei, Mostafa Gorji, Fatemeh Koupa, Mehdi Sharifian   +3 more
doaj   +1 more source

Recognition of Grouping Patterns in Trademarks Based on the Gestalt Psychology

IEEJ Transactions on Electronics, Information and Systems, 2007
AbstractBased on Gestalt principles, in this paper we model features for measuring the degree of similarity between combinations of image components, and grouping areas in trademark images are recognized. This investigation can be used for content‐based image retrieval from the perspective of mirroring human perception of images.
Iguchi, Hiromasa, Abe, Koji, Misawa, Tadanobu, Kimura, Haruhiko, Daido, Yoshimasa   +4 more
openaire   +2 more sources

Dominant and Complementary Emotion Recognition From Still Images of Faces

IEEE Access, 2018
Emotion recognition has a key role in affective computing. Recently, fine-grained emotion analysis, such as compound facial expression of emotions, has attracted high interest of researchers working on affective computing.
Jianzhu Guo, Zhen Lei, Jun Wan, Egils Avots, Noushin Hajarolasvadi, Boris Knyazev, Artem Kuharenko, Julio C. Silveira Jacques Junior, Xavier Baro, Hasan Demirel, Sergio Escalera, Juri Allik, Gholamreza Anbarjafari   +12 more
doaj   +1 more source

Sparse distributed localized gradient fused features of objects [PDF]

, 2015
The sparse, hierarchical, and modular processing of natural signals is related to the ability of humans to recognize objects with high accuracy. In this study, we report a sparse feature processing and encoding method, which improved the recognition ...
Pappachen James, Alex, Swathikiran, Sudhakaran, Sudhakaran, Swathikiran   +2 more
core   +1 more source

Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships

NeuroImage, 2020
Although both resting and task-induced functional connectivity (FC) have been used to characterize the human brain and cognitive abilities, the potential of task-induced FCs in individualized prediction for out-of-scanner cognitive traits remains largely
Rongtao Jiang, Nianming Zuo, Judith M. Ford, Shile Qi, Dongmei Zhi, Chuanjun Zhuo, Yong Xu, Zening Fu, Juan Bustillo, Jessica A. Turner, Vince D. Calhoun, Jing Sui   +11 more
doaj   +1 more source

Identifying the mechanisms underpinning recognition of structured sequences of action [PDF]

, 2012
© 2012 The Experimental Psychology SocietyWe present three experiments to identify the specific information sources that skilled participants use to make recognition judgements when presented with dynamic, structured stimuli.
North, JS, Williams, A. Mark, Hope, ER, Williams, AM, Hope, Edward R., North, Jamie S.   +5 more
core   +1 more source

Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI dataResearch in context

EBioMedicine, 2019
Background: Current fMRI-based classification approaches mostly use functional connectivity or spatial maps as input, instead of exploring the dynamic time courses directly, which does not leverage the full temporal information. Methods: Motivated by the
Weizheng Yan, Vince Calhoun, Ming Song, Yue Cui, Hao Yan, Shengfeng Liu, Lingzhong Fan, Nianming Zuo, Zhengyi Yang, Kaibin Xu, Jun Yan, Luxian Lv, Jun Chen, Yunchun Chen, Hua Guo, Peng Li, Lin Lu, Ping Wan, Huaning Wang, Huiling Wang, Yongfeng Yang, Hongxing Zhang, Dai Zhang, Tianzi Jiang, Jing Sui   +24 more
doaj   +1 more source