نتایج جستجو برای: maze learning

تعداد نتایج: 607640  

Journal: :Adaptive Behaviour 2009
Zhanna V. Zatuchna Anthony J. Bagnall

Maze problems represent a simplified virtual model of real environments that can be used for developing core algorithms of many real-world application related to the problem of navigation. However, the best achievements of Learning Classifier Systems (LCS) in maze problems are still mostly bounded to non-aliasing environments, while LCS complexity seems to obstruct a proper analysis of the reas...

2017
Yusuke Suzuki Itaru Imayoshi

The Barnes maze is one of the main behavioral tasks used to study spatial learning and memory. The Barnes maze is a task conducted on "dry land" in which animals try to escape from a brightly lit exposed circular open arena to a small dark escape box located under one of several holes at the periphery of the arena. In comparison with another classical spatial learning and memory task, the Morri...

Journal: :Developmental Psychobiology 2011

Journal: :Japanese Psychological Research 1959

Journal: :Japanese Psychological Research 1979

Journal: :Quantum Machine Intelligence 2022

Abstract Quantum machine learning (QML) is a young but rapidly growing field where quantum information meets learning. Here, we will introduce new QML model generalising the classical concept of reinforcement to domain, i.e. (QRL). In particular, apply this idea maze problem, an agent has learn optimal set actions in order escape from with highest success probability. To perform strategy optimi...

Journal: :Journal of abnormal psychology 1974
R D Whitman R Abeles B A Maher

Groups of pregnant rats were maintained on either a histidine-high diet, or received periodic injections of C-nitromethane, or they received both treatments throughout gestation. Later, the offspring were tested in an open field for activity in a maze-learning task and retested for the retention of the maze habit. Results showed that both nitromehane injections and histidine-high diets resulted...

Journal: :Journal of neurophysiology 2004
Neil Schmitzer-Torbert A David Redish

The striatum plays an important role in "habitual" learning and memory and has been hypothesized to implement a reinforcement-learning algorithm to select actions to perform given the current sensory input. Many experimental approaches to striatal activity have made use of temporally structured tasks, which imply that the striatal representation is temporal. To test this assumption, we recorded...

Amir Farshchi, Golbarg Ghiasi Peyman Malek Khatabi Samireh Farshchi

Objective(s) Learning is defined as the acquisition of information and skills, while subsequent retention of that information is called memory. The objective of the present study was to investigate the effect of aqueous extract of Boswellia papyrifera on learning and memory paradigms in mice and rats. Materials and Methods This study was held at the Department of Pharmacology, Faculty of Pha...

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