Article
Psychology, Mathematical
Candace E. Peacock, Elizabeth H. Hall, John M. Henderson
Summary: This study demonstrated that fixations are more likely to land on high-meaning objects than low-meaning objects during passive scene viewing, regardless of other factors. It suggests that object meaning plays a role in attentional selection during passive viewing.
PSYCHONOMIC BULLETIN & REVIEW
(2023)
Article
Ophthalmology
Matthias Kuemmerer, Matthias Bethge, Thomas S. A. Wallis
Summary: DeepGaze III is a deep learning-based model that predicts consecutive fixations in a free-viewing scanpath over static images by combining image information with previous fixation history. The modular nature of the model allows for ablation studies, revealing that scene content has a stronger effect on fixation selection than previous scanpath history in the main dataset.
Article
Psychology
A. P. Martinez-Cedillo, Kevin Dent, Tom Foulsham
Summary: When free-viewing scenes, participants tend to preferentially fixate social elements. This preference can be disrupted by increasing the demands of a secondary spatial memory task. Results showed that the preference to look at social elements decreased when the demands of the memory task were increased from one to six locations, regardless of presentation mode. The high-load condition also resulted in more central fixations and reduced exploration of the scene.
ATTENTION PERCEPTION & PSYCHOPHYSICS
(2023)
Article
Psychology, Developmental
Katherine Pomaranski, Taylor R. Hayes, Mee-Kyoung Kwon, John M. Henderson, Lisa M. Oakes
Summary: The research findings reveal that infants' eye gaze becomes more systematic and predictable when viewing natural scenes as they grow older, due to their increased attention to features other than physical salience.
DEVELOPMENTAL PSYCHOLOGY
(2021)
Article
Psychology, Experimental
Zoe Loh, Elizabeth H. Hall, Deborah Cronin, John M. Henderson
Summary: When viewing scenes, observers differ in how long they linger at each fixation location and how far they move their eyes between fixations. This study found a significant relationship between memory updating ability and fixation duration, while fluid intelligence and working memory capacity had no effect on eye movement behavior.
PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG
(2023)
Article
Psychiatry
Pablo Navalon, Manuel Perea, Pilar Benavent, Pilar Sierra, Alberto Dominguez, Carmen Iranzo, Elena Serrano-Lozano, Belen Almansa, Ana Garcia-Blanco
Summary: The study found that individuals with schizophrenia exhibit longer gaze duration and higher percentage of total fixations and total duration towards threatening scenes compared to non-social ones. This indicates an attentional bias towards threatening scenes in terms of attentional maintenance and engagement, but not in initial orienting.
JOURNAL OF PSYCHIATRIC RESEARCH
(2021)
Article
Neurosciences
Angela Mastropasqua, Gizem Vural, Paul C. J. Taylor
Summary: This study investigates the possibility of exogenous spatial attentional orienting during background motion and eye movements, and whether it affects neural processing. The results show that exogenous cueing can occur even during eye movements and does not compromise neural processing. This finding is important for understanding perceptual cognition during navigation.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2022)
Article
Multidisciplinary Sciences
Baiwei Liu, Anna C. Nobre, Freek van Ede
Summary: The study found that covert visual spatial attention can modulate neural activity and bias the direction of microsaccades. These two markers co-vary but microsaccades are not necessary for neural modulation by attention to occur.
NATURE COMMUNICATIONS
(2022)
Article
Psychology, Experimental
James E. Kragel, Joel L. Voss
Summary: The study found that memories for episodes have a temporal structure, with individuals being able to reinstate eye movement sequences between different events during complex scene viewing, which weaken over time and are associated with successful memory. Even after considering consistent eye movements produced by inherent scene properties, memory-driven reinstatement still occurs.
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL
(2021)
Article
Neurosciences
Chia-Chien Wu, Jeremy M. Wolfe
Summary: Observers do not fixate every location during visual search, instead processing occurs within a Functional Visual Field surrounding each fixation. Each fixation poses three questions, implying different senses of the FVF.
Article
Psychology, Mathematical
Janet H. Hsiao, Antoni B. Chan, Jeehye An, Su-Ling Yeh, Jingling Li
Summary: The study shows that the collinear masking effect is associated with reduced eye-fixation consistency, possibly due to attention shift to a non-saccadic-goal location, interfering with attention capture by the collinear distractor. Older adults did not differ from young adults in the masking effect, suggesting limited contribution from aging-related cognitive decline. Pre-saccadic attention shift prior to search may be an important factor influencing search behavior.
PSYCHONOMIC BULLETIN & REVIEW
(2021)
Article
Multidisciplinary Sciences
Taylor R. Hayes, John M. Henderson
Summary: Deep saliency models are currently the state-of-the-art in predicting human gaze behavior in real-world scenes, and understanding their feature prioritization can provide insights into cognitive theories of attention. Research reveals that these models primarily learn image features associated with high-level scene meaning and low-level image saliency, but exhibit differences in feature weightings and interaction patterns.
SCIENTIFIC REPORTS
(2021)
Article
Psychology
Lisa Schwetlick, Daniel Backhaus, Ralf Engbert
Summary: This article discusses the eye movement behavior of human observers in real-world scene perception and introduces recent visual attention models for saliency maps. Experimental research shows that task constraints have a significant impact on eye movement behavior. The researchers propose a model for fixation positions and durations, and validate the model's effectiveness through an eye-tracking experiment.
PSYCHOLOGICAL REVIEW
(2023)
Article
Multidisciplinary Sciences
Oren Kadosh, Yoram S. Bonneh
Summary: This study investigated microsaccades during free viewing and found that each saccade provides a stimulus-dependent inhibition, similar to the inhibition observed during fixation. In free viewing, microsaccade latency was shorter for more salient stimuli.
SCIENTIFIC REPORTS
(2022)
Article
Biology
Lauren E. Welbourne, Aditya Jonnalagadda, Barry Giesbrecht, Miguel P. Eckstein
Summary: The study shows that the human brain responds strongly and selectively to variations in object-scene scale consistency, particularly in regions involved in scene processing and spatial attention. These findings reveal how and where the brain incorporates object-scene size relationships during scene processing.
COMMUNICATIONS BIOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Mohammad Taghi Khorasani, Alireza Joorabloo, Hassan Adeli, Peiman Brouki Milan, Moein Amoupour
Summary: The fabricated wound dressings developed in the study showed increased mechanical strength, enhanced therapeutic agent delivery, improved protein adsorption, and strong antibacterial activity, significantly accelerating wound healing.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2021)
Article
Clinical Neurology
Juan P. Amezquita-Sanchez, Nadia Mammone, Francesco C. Morabito, Hojjat Adeli
Summary: A new methodology based on EEG data analysis is proposed for the differential diagnosis of AD, MCI, and healthy subjects, achieving an accuracy of 82.6-86.9%, sensitivity of 91%, and specificity of 87%.
CLINICAL NEUROLOGY AND NEUROSURGERY
(2021)
Article
Engineering, Civil
Yousef Abu-Zidan, Kate Nguyen, Priyan Mendis, Sujeeva Setunge, Hojjat Adeli
Summary: The study proposes a new design for a sanitising chamber to provide additional protection for healthcare workers against the virus. The design, aided by computer-aided design and advanced computational fluid dynamics simulation, aims to improve the uniform deposition of sanitising fluid and reduce discomfort caused by excessive moisture.
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT
(2021)
Article
Engineering, Biomedical
Golrokh Mirzaei, Hojjat Adeli
Summary: Currently, early identification of Alzheimer's disease remains a challenge in the medical field, with no specific biomarker known for accurate detection. AD is incurable with a high failure rate in clinical trials for drugs, but researchers are working towards finding methods for early detection.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Chemistry, Multidisciplinary
Alireza Joorabloo, Mohammad Taghi Khorasani, Hassan Adeli, Peiman Brouki Milan, Moein Amoupour
Summary: A study employed response surface methodology and artificial neural network to design hydrogel dressings including polyvinyl alcohol, chitosan, and starch. The addition of zinc-oxide nanoparticles and heparin improved the physical and mechanical properties, antibacterial activities, and wound healing ability of the hydrogel dressings.
JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
(2022)
Article
Neurosciences
Bin Gu, Hojjat Adeli
Summary: This article presents recent developments in the study of sudden unexpected death in epilepsy (SUDEP), focusing on the pathophysiologic basis of SUDEP and the computational implications of machine learning techniques. The article discusses novel ideas for SUDEP prediction and rescue, including principal component analysis and closed-loop intervention.
REVIEWS IN THE NEUROSCIENCES
(2022)
Article
Engineering, Civil
Milad Hafezolghorani, Farzad Hejazi, Mohd Saleh Jaffar, Hojjat Adeli
Summary: This paper presents a new 3D analytical model for partially prestressed concrete (PPC) beam-column elements subjected to static and dynamic loads. The model includes plasticity theory and yielding surfaces to detect damage and determine the location of plastic hinges in the structural components. Experimental tests were conducted to verify the accuracy of the analytical model, and the results showed good agreement with numerical analysis. Additionally, a comparison of seismic response between reinforced concrete (RC) and PPC structures demonstrated the improved stiffness and energy dissipation capacity of the structure with PPC members, as well as a decrease in the number of plastic hinges.
Article
Biology
Milad Mousavi, Mahsa Dehghan Manshadi, Madjid Soltani, Farshad M. Kashkooli, Arman Rahmim, Amir Mosavi, Michal Kvasnica, Peter M. Atkinson, Levente Kovacs, Andras Koltay, Norbert Kiss, Hojjat Adeli
Summary: Accurate simulation of tumor growth during chemotherapy can optimize clinical trials and reduce the risk of unknown side effects. This study developed a 3D simulation model to evaluate the efficacy of different anti-angiogenic drugs and proposed comprehensive mechanisms for accurate predictions of drug treatments. The results showed that Beovu was the most effective drug, and machine learning techniques were used to extract additional features for understanding tumor growth and drug efficacy.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Biology
Amir H. Mosavi, Ardashir Mohammadzadeh, Sakthivel Rathinasamy, Chunwei Zhang, Uwe Reuter, Kovacs Levente, Hojjat Adeli
Summary: This study proposes a novel approach for glucose regulation in type-I diabetes patients. The approach considers uncertainties in glucose-insulin metabolism and utilizes the Immersion and Invariance (I&I) theorem to derive adaptation rules for unknown parameters. A deep learned type-II fuzzy logic system (T2FLS) is introduced to compensate for estimation errors and ensure stability. The effectiveness of the approach is demonstrated through simulations, which show that the suggested method can regulate glucose levels effectively in a short period of time.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Automation & Control Systems
Zhijun Li, Hojjat Adeli
Summary: This paper presents a new adaptive robust Hc control methodology for vibration control of large and complex structures, considering the uncertainties of both earthquake loads and structural parameters simultaneously. Through simulation experiments on benchmark buildings and shear wall buildings, the effectiveness and accuracy of the control method are demonstrated.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Ocean
Hadi Pezeshki, Dimitrios Pavlou, Hojjat Adeli, Sudath C. Siriwardane
Summary: An analytical solution is developed to study the dynamic response of offshore wind turbines under wave load. The solution considers nonlinear Stokes's wave theory, wave-structure and soil-foundation interactions. The effect of various factors, including wave-structure interaction, added mass, foundation stiffness, and nacelle translational and rotational inertia, on the structure's motion is investigated. The proposed analytical solution is compared to numerical results through a parametric study.
JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME
(2023)
Article
Engineering, Biomedical
Hidir Selcuk Nogay, Hojjat Adeli
Summary: This study proposes an automatic autism diagnostic model based on sMRI, which achieves outstanding diagnostic accuracy through preprocessing and optimization of neural networks.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Engineering, Environmental
Mona Sadeghi, Mostafa Rahimnejad, Hassan Adeli, Farideh Feizi
Summary: Nanofibrous mats composed of ALG/PVA/CIP/ZO were fabricated and characterized. The mats showed uniform morphology, good exudate absorption ability, and pH-sensitive drug release. The addition of ZO nanoparticles increased antibacterial activity and improved physical and thermal stabilities. CIP in the mats enhanced antibacterial properties significantly.
JOURNAL OF POLYMERS AND THE ENVIRONMENT
(2023)
Article
Computer Science, Artificial Intelligence
Mohammad H. Rafiei, Lynne V. Gauthier, Hojjat Adeli, Daniel Takabi
Summary: This article introduces the application and advantages of self-supervised learning in EEG studies, and proposes future research directions and implementation tips.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Clinical Neurology
Hidir Selcuk Nogay, Hojjat Adeli
Summary: The study utilized deep learning and transfer learning methods to detect epileptic seizures using EEG signals, achieving 100% accuracy without requiring additional feature extraction steps. This automatic identification and classification model can aid in early diagnosis of epilepsy, providing effective early treatment opportunities.
EUROPEAN NEUROLOGY
(2021)