£108.62

Springer BioInformation Processing - Computational Cognitive Science

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Description

Explore the intersection of mathematics, computer science, and science in BioInformation Processing: A Primer on Computational Cognitive Science. This Springer publication provides a deep look into how these disciplines can be used together to understand complex systems. Starting with a general model of cognitive processes within a network of computational nodes like neurons, the text utilizes tools from neurobiology and computational science to build a foundation. Readers will learn how to solve the diffusion model from a low-level random walk perspective and see how these concepts apply to the cable equation to improve understanding of neural computation approximations. This book serves as a technical resource for those studying the integration of computational nodes and biological processes. It even introduces specialized data for emotional contexts, making it a comprehensive guide for those interested in the technical side of cognitive science and technology.

Key Features

Integrates mathematics, computer science, and science to provide a unified approach to cognitive study.

Examines cognitive processes using a network of computational nodes such as neurons.

Provides mathematical tools and computational science methods to model neurobiology.

Covers the solution of the diffusion model through a low-level random walk perspective.

Uses new approaches to the cable equation to better understand neural computation approximations.

Includes specialized data regarding emotional contexts within the computational framework.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 February 2016
Listed Since
31 July 2015

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