Results 21 to 30 of about 117,515 (298)
Frontiers in Molecular Neuroscience, 2023 IntroductionThe potential benefits of natural ingredients in the alleviation of neurodegenerative disorders are of great interest. Alpha-pinene (APN) is an essential oil belonging to monoterpenes with multiple beneficial effects.
Paria Hashemi, Shamseddin Ahmadi
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LEARNING TO AVOID RISKY ACTIONS [PDF]
Cybernetics and Systems, 2011 When a reinforcement learning agent executes actions that can cause frequent damage to itself, it can learn, by using Q-learning, that these actions must not be executed again. However, there are other actions that do not cause damage frequently but only once in a while, for example, risky actions such as parachuting. These actions may imply punishment
María Malfaz, Miguel Angel Salichs
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Frontiers in Psychiatry, 2021 Self-regulation (SR) is an important human function that relates to quality of life in multiple domains including mental health. Previous studies have found important correlates of low SR including impulsivity and poor emotional regulation; however ...
Marek Wypych +5 more
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The effect of apelin-13 on memory of scopolamine-treated rats and accumulation of amyloid-beta plaques in the hippocampus [PDF]
Journal of Clinical and Basic Research, 2023 Background: Neurodegenerative diseases (NDDs) cause progressive neuronal loss, resulting in morbidity and mortality. Research is continued on treatment strategies that can tackle the disease's pathophysiology and cease its progression.
Maryam Azhir +4 more
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The Machine Learning Method of PIDVCA [PDF]
TransNav, 2020 Building a dynamic collision knowledge base of self-learning is one of the core contents of implementing "personified intelligence" in Personifying Intelligent Decision-making for Vessel Collision Avoidance (short for PIDVCA).
Li Na Li, Xinghua Wang, Guoquan Chen
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Animal Welfare, 2023 Hermit crabs (Paguroidea; Latreille 1802) offer great opportunities to study animal behaviour and physiology. However, the animals’ size and sex cannot be determined when they are inside their shell; information crucial to many experimental designs. Here,
Luis M Burciaga, Guillermina Alcaraz
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Online Learning for Obstacle Avoidance
CoRR, 2023 We approach the fundamental problem of obstacle avoidance for robotic systems via the lens of online learning. In contrast to prior work that either assumes worst-case realizations of uncertainty in the environment or a stationary stochastic model of uncertainty, we propose a method that is efficient to implement and provably grants instance-optimality
David Snyder +6 more
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Frontiers in Behavioral Neuroscience, 2021 The cerebellum receives dopaminergic innervation and expresses the five types of described dopaminergic receptors. The cerebellar function involves both motor movement and cognition, but the role of cerebellar dopaminergic system on these processes ...
Evelyn M. Guilherme +1 more
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Brain Sciences, 2021 Active avoidance learning is a complex form of aversive feedback learning that in humans and other animals is essential for actively coping with unpleasant, aversive, or dangerous situations.
Katharina Braun +6 more
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The Effect of Virtual Fencing Stimuli on Stress Responses and Behavior in Sheep
Animals, 2019 To understand the animal welfare impact of virtual fencing stimuli (audio cue ‘beep’ and electrical stimulus) on naïve sheep, it is necessary to assess stress responses during the animal’s first encounters with these stimuli ...
Tellisa Kearton +4 more
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