Results 81 to 90 of about 546,662 (192)

Linking maladaptive food avoidance and anorexia nervosa symptoms: An analogue study

Journal of Experimental Psychopathology
Previous research has shown that food avoidance can be learned via classical and operant conditioning. This leads to the question of whether learning deficits could contribute to the harmful food avoidance seen in individuals with anorexia nervosa ...
Michelle Spix, Anita Jansen
doaj   +1 more source

The Relationship Between Learning Environment Perception, Achievement Goals, and the Undergraduate Deep Learning Approach: A Longitudinal Mediation Model

Journal of Intelligence
This study examines the relationship between undergraduates’ learning environment perception, achievement goals, and the deep learning approach in a research-oriented Chinese university with a longitudinal mediation model.
Tingzhi Han, Guoxing Xu
doaj   +1 more source

Bidirectional Obstacle Avoidance Enhancement‐Deep Deterministic Policy Gradient: A Novel Algorithm for Mobile‐Robot Path Planning in Unknown Dynamic Environments

Advanced Intelligent Systems
Real‐time path planning in unknown dynamic environments is a significant challenge for mobile robots. Many researchers have attempted to solve this problem by introducing deep reinforcement learning, which trains agents through interaction with their ...
Junxiao Xue, Shiwen Zhang, Yafei Lu, Xiaoran Yan, Yuanxun Zheng   +4 more
doaj   +1 more source

An Integrated Strategy for Intelligent Evasion and Navigation of Unmanned Aerial Vehicles in Multi-Obstacle Environments

Aerospace
To enhance the navigation accuracy and obstacle avoidance capability of Unmanned Aerial Vehicles (UAVs) operating in dynamic multi-obstacle environments, this paper proposes an intelligent navigation and avoidance strategy based on deep reinforcement ...
Tianya Liu, Fengshuo Wang, Peng Li
doaj   +1 more source

Increasingly cautious sampling, not the black colouration of unpalatable prey, is used by fish in avoidance learning. [PDF]

Anim Cogn, 2023
Kaczmarski M, Kaczmarek JM, Kowalski K, Borowski K, Kęsy J, Kloskowski J.   +5 more
europepmc   +1 more source

A neuro-collision avoidance strategy for robot manipulators [PDF]

The area of collision avoidance and path planning in robotics has received much attention in the research community. Our study centers on a combination of an artificial neural network paradigm with a motion planning strategy that insures safe motion of ...
Maclaunchlan, Robert A., Onema, Joel P.
core   +1 more source

A Physiological Role for Amyloid Beta Protein: Enhancement of Learning and Memory [PDF]

, 2008
Amyloid beta protein (A[beta]) is well recognized as having a significant role in the pathogenesis of Alzheimer's disease (AD). The reason for the presence of A[beta] and its physiological role in non-disease states is not clear.
John Morley, Kelvin A. Yamada, Lin Xu, Steven N. Johnson, Susan Farr, William Banks   +5 more
core   +1 more source

Paternal Aggression in Early-life Impairs the Spatial Memory and Passive Avoidance Learning in Adulthood of Male Rats: The Possible Role of DRD2. [PDF]

Basic Clin Neurosci, 2023
Khalifeh S, Tirbakhsh Goura S, Asadi S, Asadi E, Maleki A, Khodagholi F, Zarrindast MR, Nasehi M, Kheradmand A.   +8 more
europepmc   +1 more source

Hybrid Reinforcement Learning-Based Collision Avoidance Algorithm for Autonomous Vehicle Clusters

IEEE Access
Nowadays, collaborative collision avoidance for autonomous vehicle clusters has become the key to ensure traffic safety. Aiming at the complex and changeable traffic environment, this paper proposes a novel collision avoidance method for Autonomous ...
Chubing Guo, Jianshe Wu, Panzheng Luo, Zhigang Wang, Kai Zhang, Ziyi Yang, Zengfa Dou, Kan Song   +7 more
doaj   +1 more source

Optimized protocol for conditioned place avoidance learning in juvenile zebrafish. [PDF]

STAR Protoc, 2021
Palumbo F, Serneels B, Yaksi E.
europepmc   +1 more source