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A common feature of many psychopathological states (going from anxiety, depression to schizophrenia or addictions) is to show cognitive alterations. These cognitive deficits clearly impact on the onset of clinical symptoms. Therefore, recent studies showed that increasing cognitive skills have a positive effect on patients' quality of life, and decrease the severity of clinical symptoms. However, a main problem consists in the fact that some minor cognitive restrictions, even if not observable at the behavioral level, may induce a state of "vulnerability" that can, in some circumstances, lead the patients to relapse. For instance, in alcohol dependence, it is well-known that, despite detoxification cure, psychological intervention and medication, 50 to 90% of patients resume in alcohol consumption within 1 year post-detoxification cure. In this view, it could be really important to find biological markers for even minor cognitive alterations, that can help clinicians to identify which patients are more "at-risk" to relapse, in order to improve treatment through best suited medication and specialized programs of cognitive rehabilitation. In this topic, our aim is to illustrate how and why cognitive event-related potentials (ERPs) may help in different psychopathological populations to adapt the treatment of individual patients on the basis of their specific neuro-cognitive alterations.

Cognitive Processes --- relapse --- biomarkers --- Event-related potentials --- Psychopathology

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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

cognitive processes --- collective creativity --- individual creativity --- cross-cultural --- insight problem solving

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fundamental and applied psychology --- cognitive processes --- clinical psychology --- gender --- Psychology --- Psychology. --- Behavioral sciences --- Mental philosophy --- Mind --- Science, Mental --- Human biology --- Philosophy --- Soul --- Mental health --- Industries

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Artificial intelligence and neural networks offer a powerful alternative to statistical methods for analyzing data. This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance. The third volume of the trilogy simultaneously introduces the relevant tools for developing and analyzing neural networks, in a style that is mathematically rigorous and yet accessible. The authors proceed by successive generalizations, requiring of the reader only a basic knowledge of statistics. Various topics are covered from feed-forward networks to deep learning, such as Bayesian learning, boosting methods and Long Short Term Memory models. All methods are applied to claims, mortality or time-series forecasting. This book is written for masters students in the actuarial sciences and for actuaries wishing to update their skills in machine learning. .

Actuarial science. --- Statistics . --- Neural networks (Computer science) . --- Actuarial Sciences. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Mathematical Models of Cognitive Processes and Neural Networks.

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The Handbook of Computational Neurodegeneration provides a comprehensive overview of the field and thus bridges the gap between standard textbooks of research on neurodegeneration and dispersed publications for specialists that have a narrowed focus on computational methods to study this complicated process. The handbook reviews the central issues and methodological approaches related to the field for which the reader pursues a thorough overview. It also conveys more advanced knowledge, thus serving both as an introductory text and as a starting point for an in-depth study of a specific area, as well as a quick reference source for the expert by reflecting the state of the art and future prospects. The book includes topics that are usually missing in standard textbooks and that are only marginally represented in the specific literature. The broad scope of this handbook is reflected by five major parts that facilitate an integration of computational concepts, methods and applications in the study of neurodegeneration. Each part is intended to stand on its own, giving an overview of the topic and the most important problems and approaches, which are supported by examples, practical applications, and proposed methodologies. The basic concepts and knowledge, standard procedures and methods are presented, as well as recent advances and new perspectives. .

Neurosciences. --- Bioinformatics. --- Health informatics. --- Neural networks (Computer science) . --- Computational Biology/Bioinformatics. --- Health Informatics. --- Mathematical Models of Cognitive Processes and Neural Networks.