Titlebook: Computational Neuroscience; First Latin American Dante Augusto Couto Barone,Eduardo Oliveira Teles, Conference proceedings 2017 Springer In

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Computational Models for the Propagation of Spreading Depression Wavest is believed to occur both in compromised and healthy tissue from a broad range of animal species and every structure of the gray matter. Glutamate is long been known to be involved in the ignition of SD. Therefore, despite action potentials are not necessary for the wave propagation, one would exp

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How Artificial Intelligence is Supporting Neuroscience Research: A Discussion About Foundations, Meties into their works. Neuroscience’s studies are characterized for recording high dimensional and complex brain data, making the data analysis computationally expensive and time consuming. Neuroscience takes advantage of AI techniques and the increasing processing power in modern computers, which he

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Cyberbullying Classification Using Extreme Learning Machine Applied to Portuguese Languageaffect the victim’s life for a long time or even permanently. For this reason, it is extremely important to develop tools to inhibit such practices. In this paper, a solution to the Cyberbullying classification problem using machine learning (Extreme Learning Machine) is proposed. The application of

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An Adaptive User Interface Based on Psychological Test and Task-RelevanceI). It opens countless possibilities to enhance the interaction and communication between the machines and humans. Nevertheless, the human does not process the information at same way of computers (step-by-step); thus, the interfaces must be adequate to human’s capabilities and limitations. The Grap

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Decision Tree to Analyses EEG Signal: A Case Study Using Spatial Activitiesurological examinations. It has now been used in conjunction with BMI (Brain Machine Interface) Systems, which allow the communication of an individual and external equipment, such as a computer, through brain stimulation, without any muscle movement. These tools typically present data in the form o

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Computational Neuroscience978-3-319-71011-2Series ISSN 1865-0929 Series E-ISSN 1865-0937

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