Article
Psychiatry
C. Priyesh, Chinmay A. Suryavanshi, Arun Sasidharan, Rajeshkrishna P. Bhandary, Rishikesh Behere, Kirtana R. Nayak
Summary: The study aimed to evaluate the utility of a combined paradigm to measure N170, N250, and vMMN in healthy controls compared to individual paradigms, with emotion-related ERPs showing higher amplitudes and a satisfactory ERP data quality.
ASIAN JOURNAL OF PSYCHIATRY
(2021)
Article
Computer Science, Artificial Intelligence
Yudong Guo, Lin Cai, Juyong Zhang
Summary: This method introduces a novel approach to jointly learn 3D face parametric model and 3D face reconstruction from diverse sources, which differs from previous methods that typically only learn from one source. By utilizing training data from more sources, a more powerful face model can be learned.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Neurosciences
Canhuang Luo, Wei Chen, Rufin VanRullen, Ye Zhang, Carl Michael Gaspar
Summary: This study investigated the impact of inter-stimulus interval (ISI) on the relationship between the N170 and recognition potential (RP), revealing reverse relationships between ISI and N170 latency, N1 jitter, and reaction time. The unique scalp topographies at the N1 peak across different conditions, from the longest ISI (N170) to the shortest (RP), suggest that the mask-delayed N1 remains the same N170. The results indicate a greater synthesis in the study of event related potential components.
HUMAN BRAIN MAPPING
(2022)
Article
Computer Science, Information Systems
Wenjie Niu, Yuankun Zhao, Zhiyan Yu, Yu Liu, Yu Gong
Summary: In this paper, a face recognition algorithm based on the matching of 3D face data and 2D face images is proposed. The algorithm reconstructs 3D face data from 2D face images using the 3DMM algorithm and obtains the face depth image through orthogonal projection. An improved residual neural network is designed to compare the scanned face with the face in the database. The proposed method achieves recognition accuracy of 84.25%, 83.39%, and 78.24% on three public face datasets (Texas 3DFRD, FRGC v2.0, and Lock3DFace) respectively.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
(2023)
Article
Psychology, Developmental
Gizelle Anzures, Melissa Mildort, Eli Fennell, Cassandra Bell, Elizabeth Soethe
Summary: Studies have shown developmental changes in children's face perception and racial biases. The research found that there are different patterns of early ERP responses in children and adults, which are associated with face recognition proficiency and implicit racial bias. This suggests that recognition proficiency and implicit racial bias play a role in early ERP responses in both adults and children but in different ways.
JOURNAL OF EXPERIMENTAL CHILD PSYCHOLOGY
(2022)
Article
Computer Science, Information Systems
Xiaoguang Tu, Jian Zhao, Mei Xie, Zihang Jiang, Akshaya Balamurugan, Yao Luo, Yang Zhao, Lingxiao He, Zheng Ma, Jiashi Feng
Summary: The paper introduces a method named 2DAL, which can significantly improve the learning of 3D face models using 2D face images with noisy landmark information. By introducing four novel self-supervision schemes, it alleviates the demands for traditional paired 2D-to-3D annotations and provides higher-quality 3D face models without requiring additional 3D annotations.
IEEE TRANSACTIONS ON MULTIMEDIA
(2021)
Article
Psychiatry
Miranda R. Chilver, Haeme R. P. Park, Peter R. Schofield, C. Richard Clark, Leanne M. Williams, Justine M. Gatt
Summary: Depression and anxiety symptoms are strongly associated with differences in processing fearful and happy facial expressions, as reflected by emotional event-related potentials (ERPs), particularly the N170. However, these alterations are not related to mental wellbeing, indicating that emotional ERPs may be more indicative of mental health issues rather than overall wellbeing, especially in subconscious processing pathways.
JOURNAL OF PSYCHIATRIC RESEARCH
(2022)
Article
Behavioral Sciences
Carina Fernandes, Ines Macedo, Ana R. Goncalves, Mariana R. Pereira, Fernando Ferreira-Santos, Fernando Barbosa, Joao Marques-Teixeira
Summary: Older adults show an enhanced N170 amplitude during the visualization of facial expressions of emotion. This effect is not specific to facial stimuli and is not modulated by own-age faces. The increased N170 amplitude in older adults may reflect a higher ambiguity of older faces due to age-related changes in their physical features, while the decreased P250 amplitudes for older faces may reflect a reduced processing of the emotional content of these faces.
Article
Neurosciences
Nicolas M. Brunet
Summary: This research explores the sensitivity of early Event-Related Potentials (ERPs) to facial stimuli, and uncovers the impact of age, facial inversion, and the presence of face masks on neural responses.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Computer Science, Information Systems
Yong Li, Qiang Hao, Jianguo Hu, Xinmiao Pan, Zechao Li, Zhen Cui
Summary: This paper proposes an innovative 3D Modulated Morphable Model (3D3M) to learn dense face shape correspondence from monocular images in a self-supervised manner. By encoding and rendering attribute-changed faces, and utilizing self-supervised consistencies in dense mesh vertices and reconstructed pixels, the 3D face model can be accurately fitted and vertex correctives learned.
IEEE TRANSACTIONS ON MULTIMEDIA
(2023)
Article
Nanoscience & Nanotechnology
Shuai Zhou, Jing Bai, Tiantian Li, Xiaxin Gao, Ruoyu Xu, Zixing Shi
Summary: Inspired by the elongation ability of cells on mimosa petiole, we have developed a shape transformation polymer that can switch between 2D and 3D at room temperature through simple stretching and releasing steps. By patterning the surface of the sample film, we induced different movements of the polymer chains along the thickness, resulting in shape transformation. This research expands the application of shape memory polymers and shows potential in information encryption transmission.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Behavioral Sciences
Laura Kolijn, Bianca G. van den Bulk, Saskia Euser, Marian J. Bakermans-Kranenburg, Marinus H. van IJzendoorn, Rens Huffmeijer
Summary: The study did not find evidence for mediation of intervention effects on maternal sensitivity by the N170, suggesting that parenting support programs may have different effects on neurocognitive processes depending on the population, and providing recommendations for future research. Our study highlights the importance of reporting null findings and preregistering studies in the field of neurocognitive research.
BRAIN AND BEHAVIOR
(2022)
Article
Engineering, Electrical & Electronic
An-An Liu, Chenyu Zhang, Wenhui Li, Xingyu Gao, Zhengya Sun, Xuanya Li
Summary: In this paper, an unsupervised method for 2D image-based 3D shape retrieval is proposed, which achieves discriminative representation learning and domain adaptation through multi-view guided self-supervised feature learning and auxiliary domain alignment. The method achieves competitive performance in the unsupervised 2D image-based 3D shape retrieval task.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Neurosciences
Baodan Chen, Lin Jiang, Guoqing Lu, Yuqin Li, Shu Zhang, Xunan Huang, Peng Xu, Fali Li, Dezhong Yao
Summary: This study investigated the electrophysiological event-related potential and time-varying brain networks during face recognition in children with autism spectrum disorder. The results showed a smaller N170 amplitude and decreased cortical activity in children with autism spectrum disorder compared to typically developing children. Additionally, atypically stronger information flow and brain network connections were observed in children with autism spectrum disorder. These findings contribute to our understanding of the face-processing mechanisms and social dysfunction in autism spectrum disorder.
Article
Computer Science, Theory & Methods
Zhaoyuan Fang, Adam Czajka, Kevin W. Bowyer
Summary: This article proposes a method that combines two-dimensional and three-dimensional properties of the observed iris to address the problem of spoof detection. The combination of these two approaches has been applied to detect whether a subject is wearing a textured contact lens to disguise their identity, and outperforms all available open-source iris PAD methods tested in identical scenarios.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2021)
Article
Neurosciences
Corentin Jacques, Jacques Jonas, Louis Maillard, Sophie Colnat-Coulbois, Laurent Koessler, Bruno Rossion
HUMAN BRAIN MAPPING
(2019)
Article
Neuroimaging
Sofie Vettori, Milena Dzhelyova, Stephanie Van der Donck, Corentin Jacques, Jean Steyaert, Bruno Rossion, Bart Boets
NEUROIMAGE-CLINICAL
(2019)
Article
Ophthalmology
Charles C. -F. Or, Talia L. Retter, Bruno Rossion
Article
Behavioral Sciences
Xiaoqian Yan, Joan Liu-Shuang, Bruno Rossion
Article
Behavioral Sciences
Fanny Poncet, Jean-Yves Baudouin, Milena P. Dzhelyova, Bruno Rossion, Arnaud Leleu
Article
Neurosciences
Qiuling Luo, Bruno Rossion, Milena Dzhelyova
SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE
(2019)
Article
Multidisciplinary Sciences
Friederike G. S. Zimmermann, Xiaoqian Yan, Bruno Rossion
ROYAL SOCIETY OPEN SCIENCE
(2019)
Article
Behavioral Sciences
Diane Rekow, Jean-Yves Baudouin, Bruno Rossion, Arnaud Leleu
Article
Neurosciences
Talia L. Retter, Fang Jiang, Michael A. Webster, Bruno Rossion
Article
Ophthalmology
Milena Dzhelyova, Christine Schiltz, Bruno Rossion
Article
Neurosciences
Xiaoqian Yan, Friederike G. S. Zimmermann, Bruno Rossion
COGNITIVE NEUROSCIENCE
(2020)
Article
Behavioral Sciences
Sofie Vettori, Milena Dzhelyova, Stephanie Van der Donck, Corentin Jacques, Tim Van Wesemael, Jean Steyaert, Bruno Rossion, Bart Boets
Article
Psychology, Multidisciplinary
Alice van de Walle de Ghelcke, Bruno Rossion, Christine Schiltz, Aliette Lochy
FRONTIERS IN PSYCHOLOGY
(2020)
Article
Psychology, Developmental
Aliette Lochy, Christine Schiltz, Bruno Rossion
DEVELOPMENTAL SCIENCE
(2020)
Article
Psychology, Developmental
Arnaud Leleu, Diane Rekow, Fanny Poncet, Benoist Schaal, Karine Durand, Bruno Rossion, Jean-Yves Baudouin
DEVELOPMENTAL SCIENCE
(2020)
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.