£109.14

Springer BioInformation Processing - Cognitive Science Book

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Description

Explore the connection between mathematics, computer science, and science in BioInformation Processing: A Primer on Computational Cognitive Science. Published by Springer, this book provides a foundation for understanding how these disciplines work together 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 mathematics, neurobiology, and computational science. Readers will follow a technical journey that moves from basic models to solving the diffusion model from a low-level random walk perspective. This resource is designed for those interested in how computational models can be applied to neural computation. It demonstrates how specific ideas can be used to solve the cable equation, providing a better understanding of neural computation approximations. It is an essential text for students and professionals working at the intersection of AI, machine learning, and cognitive science.

Key Features

Integrates mathematics, computer science, and science to provide a seamless understanding of computational cognitive science.

Models cognitive processes through a network of computational nodes, such as neurons, using neurobiology and math.

Provides solutions for the diffusion model using a low-level random walk point of view.

Uses new approaches to solve the cable equation for better understanding of neural computation approximations.

Connects computational science tools with biological concepts to bridge the gap between technology and neuroscience.

Product Specifications

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

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No barcode data available

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