BioInformation Processing : A Primer on Computational Cognitive Science / by James K Peterson
By: Peterson, James K.
Material type: 
E-bookSeries: Cognitive Science and TechnologyPublisher: Singapore : Springer, 2016Edition: 1st ed.Description: 1 recurso en línea (XXXV, 570 p.) 165 il. col..ISBN: 9789812878717.Subject: BioinformáticaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Summary: This book shows how mathematics, computer science and science can be usefully and seamlessly intertwined. It begins with a general model of cognitive processes in a network of computational nodes, such as neurons, using a variety of tools from mathematics, computational science and neurobiology. It then moves on to solve the diffusion model from a low-level random walk point of view. It also demonstrates how this idea can be used in a new approach to solving the cable equation,�in order to better understand the neural computation approximations. It introduces specialized data for emotional content, which allows a brain model to be built using MatLab tools, and also highlights a simple model of cognitive dysfunction.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias de la Salud | QH324.2 .P484 2016 EB (Browse shelf(Opens below)) | .i11602521 | Acceso electrónico | eBOOK .i11602521 |
Browsing Madrid Digital shelves, Shelving location: Acceso Electrónico (UEM) Close shelf browser (Hides shelf browser)
| QH324.2 M483 2017 EB Metabolomics : from fundamentals to clinical applications | QH324.2 .O45 2018 EB Omics Approaches, Technologies And Applications : Integrative Approaches For Understanding OMICS Data | QH324.2 P396 2015 EB Practical Protein Bioinformatics | QH324.2 .P484 2016 EB BioInformation Processing : A Primer on Computational Cognitive Science | QH324.2 P765 2013 EB Systems Biology : Integrative Biology and Simulation Tools | QH324.2 S546 2013 EB Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases | QH324.2 S564 2015 EB Fundamentals of Bioinformatics and Computational Biology Methods and Exercises in MATLAB |
This book shows how mathematics, computer science and science can be usefully and seamlessly intertwined. It begins with a general model of cognitive processes in a network of computational nodes, such as neurons, using a variety of tools from mathematics, computational science and neurobiology. It then moves on to solve the diffusion model from a low-level random walk point of view. It also demonstrates how this idea can be used in a new approach to solving the cable equation,�in order to better understand the neural computation approximations. It introduces specialized data for emotional content, which allows a brain model to be built using MatLab tools, and also highlights a simple model of cognitive dysfunction.
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