We link cleansing effects to contemporary cognitive theories via an account of event representation (intersecting object histories) that provides an explicit, neurally plausible mechanism for encoding objects (e.g., the self) and their associations (with other entities) across time. It explains separation as resulting from weakening associations between the self in the present and the self in the past.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1017/S0140525X20000552 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Prevalence and associated characteristics of sexual exploitation in a representative sample of spanish youth from an intersectional perspective.
Child Abuse Negl
January 2025
Faculty of Medicine, University of Concepción, Chile.
Background: Child sexual exploitation (CSE) involves using a child or youth as a sexual object in exchange for remuneration, reward, or favors, meeting their survival needs, and also serving the perpetrator's aims for sexual, social, or economic gain.
Objective: The present study addresses the prevalence of CSE in Spain.
Participants: A representative sample of 4024 secondary school adolescents from 14 to 17 years old (M = 15.
A Comprehensive Survey of Machine Learning Techniques and Models for Object Detection.
Sensors (Basel)
January 2025
Industrial Systems Institute, Athena Research and Innovation Center, 26504 Patras, Greece.
Object detection is a pivotal research domain within computer vision, with applications spanning from autonomous vehicles to medical diagnostics. This comprehensive survey presents an in-depth analysis of the evolution and significant advancements in object detection, emphasizing the critical role of machine learning (ML) and deep learning (DL) techniques. We explore a wide spectrum of methodologies, ranging from traditional approaches to the latest DL models, thoroughly evaluating their performance, strengths, and limitations.
View Article and Find Full Text PDFGripping Success Metric for Robotic Fruit Harvesting.
Sensors (Basel)
December 2024
Department of Computer Science & Artificial Intelligence, Jeonbuk National University, Jeonju-si 54896, Republic of Korea.
Recently, computer vision methods have been widely applied to agricultural tasks, such as robotic harvesting. In particular, fruit harvesting robots often rely on object detection or segmentation to identify and localize target fruits. During the model selection process for object detection, the average precision (AP) score typically provides the de facto standard.
View Article and Find Full Text PDFEffect of Depth Band Replacement on Red, Green and Blue Image for Deep Learning Weed Detection.
Sensors (Basel)
December 2024
Institute of Mechanical Engineering and Energy Technology, Lucerne University of Applied Sciences and Arts, CH-6048 Horw, Switzerland.
Automated agricultural robots are becoming more common with the decreased cost of sensor devices and increased computational capabilities of single-board computers. Weeding is one of the mundane and repetitive tasks that robots could be used to perform. The detection of weeds in crops is now common, and commercial solutions are entering the market rapidly.
View Article and Find Full Text PDFYOLOv7-CWFD for real time detection of bolt defects on transmission lines.
Sci Rep
January 2025
School of Information, Yunnan University, Kunming, 650504, China.
Detecting bolt defects on transmission lines is crucial for ensuring the safe operation of the electrical power system. However, existing methods for detecting bolt defects on transmission lines require higher detection accuracy and smaller model sizes. To address these challenges, this paper proposes a real-time bolt defect detection model based on YOLOv7, named YOLOv7-CWFD.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!