Image from Google Jackets

BioInformation Processing : A Primer on Computational Cognitive Science / by James K Peterson

By: Peterson, James K.
Material type: materialTypeLabelE-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)Digital Resources 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias de la Salud QH324.2 .P484 2016 EB (Browse shelf(Opens below)) .i11602521 Acceso electrónico eBOOK .i11602521
Total holds: 0

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.

There are no comments on this title.

to post a comment.
Share