COMPUTATIONAL CHARACTERISTICS OF THE STRIATAL DOPAMINE SYSTEM DESCRIBED BY REINFORCEMENT LEARNING WITH FAST GENERALIZATION

Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization

Generalization is the ability to apply past experience to similar but non-identical situations.It not only affects stimulus-outcome relationships, as observed in conditioning experiments, but may also be essential for adaptive behaviors, which involve the interaction between individuals and their environment.Computational modeling could potentially

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Lung cancer disease prediction with CT scan and histopathological images feature analysis using deep learning techniques

Lung Shag Area Rug cancer is characterized by the uncontrollable growth of cells in the lung tissues.Early diagnosis of malignant cells in the lungs, which provide oxygen to the human body and excrete carbon dioxide because of important processes, is critical.Because of its potential importance in patient diagnosis and treatment, the use of deep le

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Semantic Segmentation of Litchi Branches Using DeepLabV3+ Model

Litchi is often harvested by clamping and cutting the branches, which are small and can easily be damaged by the picking robot.Therefore, the detection of litchi branches is particularly significant.In this article, an fully convolutional neural network-based semantic segmentation algorithm is proposed to semantically segment the litchi branches.Fi

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