Article
Computer Science, Information Systems
Pengqing Li, Hongjuan Zhang, Yansong Chen
Summary: In this work, a novel deep features-based structural local sparse low-rank tracker is proposed, which exploits sparsity and low-rank constraint of local patches and considers the spatial structure of target regions. Elegant pre-locating and pruning schemes are developed to maintain the tracker's performance in challenging scenarios, while reducing computational burden. An upgraded effective template update scheme is also designed to adapt to changes in target appearance. Comprehensive experiments on benchmark datasets demonstrate the superiority of the proposed method over popular handcrafted features-based trackers.
MULTIMEDIA SYSTEMS
(2023)
Article
Psychology, Experimental
Diane Rekow, Jean-Yves Baudouin, Renaud Brochard, Bruno Rossion, Arnaud Leleu
Summary: This study investigates the neural activity and perceptual awareness of faces using face pareidolia as a proxy. The results show a clear correlation between neural categorization of facelike objects and conscious face perception, supporting the idea that face-selective brain activity predicts the subjective experience of a face.
Article
Biochemistry & Molecular Biology
Surya Gayet, Marius Peelen
Summary: Humans are adept at finding objects in complex visual scenes. Current theories of attention propose that visual processing of an object of interest is enhanced by the activation of object-specific representations in the visual cortex. However, these theories fail to account for the fact that a given object will produce different retinal images depending on its location. This study used fMRI to measure brain activity in human observers as they prepared to search for objects at different distances in indoor-scene photographs. The results showed that preparatory activity incorporated contextual expectations and systematically modulated the representations of objects based on their predicted retinal images.
Article
Chemistry, Multidisciplinary
Yimin Wang, Zhifeng Xiao, Lingguo Meng
Summary: The paper introduces a new FGVC method, AIF-Net, which improves upon the existing method API-Net by integrating an attentive feature extractor, achieving better performance on the VegFru dataset and demonstrating clear superiority.
APPLIED SCIENCES-BASEL
(2021)
Article
Multidisciplinary Sciences
Matt D. Anderson, James H. Elder, Erich W. Graf, Wendy J. Adams
Summary: This study tested the space-centered theory by investigating the temporal dynamics of spatial and semantic perception in scene perception. The results challenge the traditional 'bottom-up' views by suggesting that humans depend more on semantic information rather than spatial layout to discriminate spatial structure categories.
Article
Behavioral Sciences
Noor Seijdel, H. Steven Scholte, Edward H. F. de Haan
Summary: This study investigated the categorization ability of a brain injured patient with a category-specific impairment, finding that the pattern of impairment may depend more on visual features rather than category membership. By using Deep Convolutional Neural Networks as "artificial animal models", it was further shown that the impaired DCNNs exhibited similar response patterns.
Article
Multidisciplinary Sciences
Paolo Antonino Grasso, Giovanni Anobile, Roberto Arrighi, David Charles Burr, Guido Marco Cicchini
Summary: Numerosity perception is selectively tuned to salient environmental attributes such as color or pitch, with matched colors causing underestimation of numerosity and different colors having little effect.
Article
Multidisciplinary Sciences
Mariya V. Cherkasova, Jessie F. Fu, Michael Jarrett, Poljanka Johnson, Shawna Abel, Roger Tam, Alexander Rauscher, Vesna Sossi, Shannon Kolind, David K. B. Li, A. Dessa Sadovnick, Lindsay Machan, J. Marc Girard, Francois Emond, Reza Vosoughi, Anthony Traboulsee, A. Jon Stoessl
Summary: Despite limited therapeutic effects, certain multiple sclerosis patients demonstrated a transient improvement in health-related quality of life, indicating a placebo response. The study found that placebo responders had higher lesion activity and exhibited a different cortical architecture compared to non-responders.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Alan J. Emanuel, Brendan P. Lehnert, Stefano Panzeri, Christopher D. Harvey, David D. Ginty
Summary: Research shows that signals from physiologically distinct mechanoreceptor subtypes are extensively integrated and transformed within the subcortical somatosensory system to generate cortical representations of touch.
Article
Computer Science, Artificial Intelligence
Jialiang Shen, Yu Yao, Shaoli Huang, Zhiyong Wang, Jing Zhang, Ruxing Wang, Jun Yu, Tongliang Liu
Summary: This paper proposes a learning framework named ProtoSimi to improve the robustness of deep models in noisy data for fine-grained image classification. The method employs an adaptive label correction strategy and considers both global class-prototype and part class-prototype similarities to identify and correct sample labels. Experimental results show that the method outperforms existing label noisy methods.
Article
Multidisciplinary Sciences
Rinaldo D. D'Souza, Quanxin Wang, Weiqing Ji, Andrew M. Meier, Henry Kennedy, Kenneth Knoblauch, Andreas Burkhalter
Summary: The study identifies the hierarchical nature and nonhierarchical features of the mouse visual cortex network by evaluating the axonal projection patterns between different areas. Receptive field sizes in the cortex are generally consistent with the hierarchy. The results provide an anatomical metric for hierarchical distance and reveal both hierarchical and nonhierarchical motifs in the mouse visual cortex.
NATURE COMMUNICATIONS
(2022)
Article
Automation & Control Systems
Hanjiang Hu, Hesheng Wang, Zhe Liu, Weidong Chen
Summary: This paper proposes a coarse-to-fine localization method based on image retrieval, which uses multi-domain image translation and gradient-weighted similarity activation mapping loss to extract domain-invariant features and improve localization accuracy. Experiments demonstrate the effectiveness and strong generalization ability of the proposed method in challenging environments.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2022)
Article
Neurosciences
Yaoda Xu, Maryam Vaziri-Pashkam
Summary: This study examined the coding strength of object identity and four types of nonidentity features along the human ventral visual processing pathway and compared brain responses with those of 14 convolutional neural networks (CNNs) pretrained to perform object categorization. Overall, identity representation increased and nonidentity feature representation decreased along the ventral visual pathway, with some notable differences among the different nonidentity features. CNNs differed from the brain in a number of aspects in their representations of identity and nonidentity features over the course of visual processing. Our approach provides a new tool for characterizing feature coding in the human brain and the correspondence between the brain and CNNs.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Neurosciences
Benjamin Scholl, Clara Tepohl, Melissa A. Ryan, Connon Thomas, Naomi Kamasawa, David Fitzpatrick
Summary: This study investigates the synaptic interactions underlying the binocular representation of stimulus orientation in ferret visual cortex. The results show that the degree of interocular alignment in binocular inputs is related to their selectivity and somatic specificity, and the number of active congruent inputs predicts aligned somatic output.
Article
Robotics
Yuning Cui, Alois Knoll
Summary: Image restoration is crucial in various fields such as robot vision, autonomous vehicles, and medical imaging, to recover clear images from degradations. The use of Transformer has shown significant improvement, but its practicality is limited due to high complexity. To address this, we propose an efficient image restoration framework based on self-attention, combining patch-based and strip-based units for improved efficiency. Our framework, PSNet, achieves state-of-the-art performance on multiple restoration tasks with low computational complexity and high speed.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Neurosciences
Kun-Han Lu, Jun Young Jeong, Haiguang Wen, Zhongming Liu
HUMAN BRAIN MAPPING
(2017)
Article
Engineering, Biomedical
Kun-Han Lu, Jiayue Cao, Steven Thomas Oleson, Terry L. Powley, Zhongming Liu
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2017)
Article
Medicine, Research & Experimental
Steven Oleson, Kun-Han Lu, Zhongming Liu, Abigail C. Durkes, M. Preeti Sivasankar
Article
Multidisciplinary Sciences
Jiayue Cao, Kun-Han Lu, Terry L. Powley, Zhongming Liu
Article
Neurosciences
Junxing Shi, Haiguang Wen, Yizhen Zhang, Kuan Han, Zhongming Liu
HUMAN BRAIN MAPPING
(2018)
Article
Gastroenterology & Hepatology
K. -H. Lu, J. Cao, S. Oleson, M. P. Ward, R. J. Phillips, T. L. Powley, Z. Liu
NEUROGASTROENTEROLOGY AND MOTILITY
(2018)
Article
Neurosciences
Lauren K. Lynch, Kun-Han Lu, Haiguang Wen, Yizhen Zhang, Andrew J. Saykin, Zhongming Liu
HUMAN BRAIN MAPPING
(2018)
Article
Multidisciplinary Sciences
Yizhen Zhang, Gang Chen, Haiguang Wen, Kun-Han Lu, Zhongming Liu
SCIENTIFIC REPORTS
(2017)
Article
Engineering, Biomedical
Ranajay Mandal, Nishant Babaria, Jiayue Cao, Zhongming Liu
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2019)
Article
Gastroenterology & Hepatology
Kun-Han Lu, Jiayue Cao, Robert Phillips, Terry L. Powley, Zhongming Liu
NEUROGASTROENTEROLOGY AND MOTILITY
(2020)
Article
Multidisciplinary Sciences
Yizhen Zhang, Kuan Han, Robert Worth, Zhongming Liu
NATURE COMMUNICATIONS
(2020)
Article
Behavioral Sciences
Nicholas S. Race, Katharine D. Andrews, Elizabeth A. Lungwitz, Sasha M. Vega Alvarez, Timothy R. Warner, Glen Acosta, Jiayue Cao, Kun-han Lu, Zhongming Liu, Amy D. Dietrich, Sreeparna Majumdar, Anantha Shekhar, William A. Truitt, Riyi Shi
Summary: TBI is associated with increased risk for mental health disorders, and deficits in psychosocial processing may contribute to post-TBI mental health issues. A pre-clinical investigation using rats found that a single mild blast TBI induced impairment of psychosocial processing in the absence of other confounding factors, and this impairment may be related to acute upregulations of an oxidative stress metabolite.
BEHAVIOURAL BRAIN RESEARCH
(2021)
Article
Engineering, Biomedical
Jiayue Cao, Xiaokai Wang, Terry L. Powley, Zhongming Liu
Summary: The study found that neurons in the nucleus tractus solitarius (NTS) exhibit high selectivity to the orientation of electrical stimulation, with the strongest responses observed when the current flows in parallel with the vagal intramuscular arrays (IMAs) underlying the smooth muscle fibers. This suggests that the orientation of gastric electrical stimulation (GES) plays a critical role in engaging vagal afferents effectively, and should be considered in light of the structural phenotypes of vagal terminals in the stomach.
JOURNAL OF NEURAL ENGINEERING
(2021)