Article
Chemistry, Analytical
Jaime Maldonado, Lino Antoni Giefer
Summary: The study systematically evaluated the saliency maps computed with four selected bottom-up models on images of urban and highway traffic scenes, identifying significant differences in salient areas. The findings provide insights for prospective applications in autonomous driving, such as object detection and tracking.
Article
Psychology, Multidisciplinary
Divita Singh, Harish Karnick
Summary: This study investigated the manifestation of the self-prioritization effect (SPE) in different age groups and found that participants aged 9-22 showed a strong self-prioritization effect. Additionally, there was a greater bias towards mother-association.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Automation & Control Systems
Tanveer Hussain, Fath U. Min Ullah, Samee Ullah Khan, Amin Ullah, Umair Haroon, Khan Muhammad, Sung Wook Baik, Victor Hugo C. de Albuquerque
Summary: Video summarization is important for suppressing high-dimensional video data. However, prior research has not focused on the need for surveillance video summarization, and mainstream techniques lack event occurrence detection. Therefore, we propose a two-fold 3-D deep learning-assisted framework for video summarization.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Neurosciences
Amelie J. Reynaud, Elvio Blini, Eric Koun, Emiliano Macaluso, Martine Meunier, Fadila Hadj-Bouziane
Summary: The study used NE reuptake inhibitors to conduct experiments on monkeys, and found that NE regulates attentional orienting, affecting the impact of low-level visual salience on attentional orientation during free viewing of images.
Article
Remote Sensing
Xianpeng Guo, Biao Hou, Chen Yang, Siteng Ma, Bo Ren, Shuang Wang, Licheng Jiao
Summary: This article proposes a method called CSG-CAM to address the explainability issue in remote sensing images. By introducing the concepts of dynamic channel pruning and channel saliency, and using channel saliency as the weights for computing saliency maps on shallow and final layers, the CSG-CAM can effectively fuse the heat maps from these two layers. Experimental results demonstrate the effectiveness of CSG-CAM in terms of both faithfulness and explainability.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Biochemical Research Methods
Lu Liu, Xikang Feng, Haimei Li, Shuai Cheng Li, Qiujin Qian, Yufeng Wang
Summary: The study proposed a method using convolutional neural networks for classifying ADHD patients and healthy controls, showing high accuracy in classification. Through deep learning analysis, some potential ADHD risk genes were identified. This research is the first deep learning method for ADHD classification using SNP data.
BRIEFINGS IN BIOINFORMATICS
(2021)
Article
Materials Science, Ceramics
Huailiang Zhang, Ling Peng, Gang Lei
Summary: A new algorithm for automatically detecting surface defects of ceramic tiles was proposed, which utilizes salient region detection and fusion of color and structure saliency maps to determine defect regions, showing a high detection accuracy.
CERAMICS INTERNATIONAL
(2022)
Article
Biochemistry & Molecular Biology
Rani Moran, Peter Dayan, Raymond J. Dolan
Summary: The study explores how inference affects state-value updates in a task, finding that the need for inference reduces state-value updates. Interestingly, this reduction in credit assignment is selective for the observed outcome alone, contrary to normative theories.
Article
Computer Science, Artificial Intelligence
Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
Summary: Although deep Reinforcement Learning (RL) has been successful in various tasks, interpretability remains a challenge in real-world applications. Existing saliency map approaches in the RL domain either lack real-time capability or fail to produce interpretable saliency maps. This work presents an approach, called Distillation with selective Input Gradient Regularization (DIGR), that combines policy distillation and input gradient regularization to generate saliency maps with high interpretability and computation efficiency. Experimental results on MiniGrid (Fetch Object), Atari (Breakout), and CARLA Autonomous Driving tasks demonstrate the importance and effectiveness of the proposed approach.
Article
Computer Science, Information Systems
Vivek Kumar Singh, Nitin Kumar
Summary: This paper proposes a Convex Hull Based Random Walks (CoBRa) approach for salient object detection. In this approach, an image is segmented into superpixels and a Convex Hull is constructed to partition the image into foreground and background regions. The centroid of the foreground region is calculated and used to compute initial saliency. Two thresholds are applied to produce binary segmented images, and foreground and background seeds are collected and refined. A random walk is then constructed to generate a pixel-wise saliency map. Experimental results on six datasets demonstrate the superiority of the proposed approach.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Ting Zhang, Muhammad Waqas, Yu Fang, Zhaoying Liu, Zahid Halim, Yujian Li, Sheng Chen
Summary: This paper proposes a weakly-supervised butterfly detection model based on a saliency map (WBD-SM) to enhance the accuracy of butterfly detection in the ecological environment. Experimental results show that WBD-SM achieves higher recognition accuracy than VGG16 under different division ratios.
PATTERN RECOGNITION
(2023)
Article
Computer Science, Artificial Intelligence
Jun-ying Hu, C. -J. Richard Shi, Jiang-she Zhang
Summary: The YOLO3-SM method improves object detection performance by introducing a saliency map, achieving higher IOU and mAP values compared to YOLO3.
KNOWLEDGE AND INFORMATION SYSTEMS
(2021)
Article
Behavioral Sciences
Zhimin Song, Sujith Swarna, Joseph R. Manns
Summary: The amygdala, particularly the basolateral complex, plays a crucial role in responding to social stimuli, but does not impair the ability to distinguish between different individuals. This has important implications for the modulation of attention, motivation, and memory processes for social stimuli by the amygdala.
NEUROBIOLOGY OF LEARNING AND MEMORY
(2021)
Article
Psychology, Experimental
Marius Golubickis, Nerissa S. P. Ho, Johanna K. Falben, Carlotta L. Schwertel, Alessia Maiuri, Dagmara Dublas, William A. Cunningham, C. Neil Macrae
Summary: Research has shown that possession of objects can enhance the processing speed of stimuli, especially when the objects belong to oneself, leading to a self-prioritization effect. This study explored how different valence objects influence self-prioritization in decision-making processes, using a hierarchical drift-diffusion model (HDDM) to analyze the data. The results revealed that ownership can increase the efficiency of stimulus processing, especially for desirable items, shedding light on the impact of valence on self-prioritization.
PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG
(2021)
Article
Computer Science, Information Systems
Pengcheng Hao, Meng Yang, Nanning Zheng
Summary: In this paper, a novel method is proposed for subjective low-light image enhancement by incorporating foreground saliency detection and Retinex techniques, which effectively improve the visual perception of low-light images.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Neurosciences
Fabrice Arcizet, Koorosh Mirpour, Daniel J. Foster, Caroline J. Charpentier, James W. Bisley
JOURNAL OF NEUROPHYSIOLOGY
(2015)
Article
Neurosciences
Wei Song Ong, Koorosh Mirpour, James W. Bisley
JOURNAL OF NEUROPHYSIOLOGY
(2017)
Article
Ophthalmology
B. Suresh Krishna, Anna E. Ipata, James W. Bisley, Jacqueline Gottlieb, Michael E. Goldberg
Article
Biology
Koorosh Mirpour, James W. Bisley
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2013)
Article
Multidisciplinary Sciences
Koorosh Mirpour, James W. Bisley
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2012)
Article
Surgery
Christopher R. Wottawa, Jeremiah R. Cohen, Richard E. Fan, James W. Bisley, Martin O. Culjat, Warren S. Grundfest, Erik P. Dutson
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2013)
Article
Neurosciences
Solmaz Shariat Torbaghan, Daniel Yazdi, Koorosh Mirpour, James W. Bisley
Article
Neurosciences
Koorosh Mirpour, Zeinab Bolandnazar, James W. Bisley
JOURNAL OF NEUROSCIENCE
(2019)
Article
Engineering, Biomedical
Qiangqiang Ouyang, Juan Wu, Zhiyu Shao, Dapeng Chen, James W. Bisley
Summary: The study describes a simplified model that recreates population responses of thousands of tactile afferents in a personal computer. The model, implemented using short and efficient Python code, is fit based on a simple vibrating stimulus and can match various neurophysiological responses. The research provides guidance in designing and controlling highly realistic tactile interfaces.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Article
Neurosciences
Koorosh Mirpour, James W. Bisley
Summary: The lateral intraparietal area (LIP) provides a stable map integrating task rules and stimulus identity, while the frontal eye field (FEF) is consistently modulated by more complex information but integrates all information just before the saccade to make the final decision on where to move the eye.
JOURNAL OF NEUROPHYSIOLOGY
(2021)
Article
Engineering, Biomedical
Qiangqiang Ouyang, Juan Wu, Songping Sun, Jake Pensa, Ahmad Abiri, Erik P. Dutson, James W. Bisley
Summary: The study aimed to investigate whether an algorithm simulating the responses of a cutaneous afferent population can improve the performance of presenting haptic feedback for robot-assisted surgery. A bio-inspired controlling model was proposed to provide vibration and force feedback to help surgeons identify underlying structures in phantom tissue. Results showed that the bio-inspired system allowed both novice and expert users to easily locate tumors with reduced contact force and tumor contact time, outperforming traditional linear and piecewise discrete algorithms of haptic feedback.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Article
Neurosciences
Yelda Alkan, Koorosh Mirpour, James W. Bisley
Summary: This study introduces a behavioral paradigm to investigate the neural mechanisms of attention. The results show that introducing attentional cues significantly reduces reaction times and affects sensitivity and criteria.
JOURNAL OF NEUROPHYSIOLOGY
(2022)
Article
Multidisciplinary Sciences
Ahmad Abiri, Jake Pensa, Anna Tao, Ji Ma, Yen-Yi Juo, Syed J. Askari, James Bisley, Jacob Rosen, Erik P. Dutson, Warren S. Grundfest
SCIENTIFIC REPORTS
(2019)
Article
Neurosciences
Fabrice Arcizet, Koorosh Mirpour, Daniel J. Foster, James W. Bisley