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Springer BioInformation Processing - Cognitive Science Book

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Description

Explore the intersection of mathematics, computer science, and neurobiology with BioInformation Processing: A Primer on Computational Cognitive Science. Published by Springer, this book provides a framework for understanding how these disciplines intertwine to model cognitive processes. Starting with a general model of cognitive processes within a network of computational nodes like neurons, the text utilizes tools from computational science and mathematics. It covers complex topics such as solving the diffusion model from a low-level random walk perspective and applying these ideas to the cable equation to understand neural computation approximations. This resource is designed for those studying the technical foundations of cognitive science and technology.

Key Features

This Springer publication explores the seamless connection between mathematics, computer science, and science.

Learn to model cognitive processes using a network of computational nodes such as neurons.

The text utilizes diverse tools from neurobiology, mathematics, and computational science.

Study the solution of the diffusion model from a low-level random walk point of view.

Understand neural computation approximations through a new approach to solving the cable equation.

Access specialized data regarding emotional con within the context of computational cognitive science.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
11 December 2018
Listed Since
10 December 2018

Barcode

No barcode data available

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