£121.31

Springer - Computational Models for Neuroscience Book

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Description

Explore the deep connections between human cognition and mathematical modeling with Computational Models for Neuroscience: Human Cortical Information Processing. Published by Springer, this text examines the long history of neuroscience, tracing the study of human cognition from ancient theories of association back to modern scientific advancements. As technology and research capabilities have grown over the past two centuries, the volume of knowledge regarding the mind and brain has expanded exponentially. This book provides a perspective on how hundreds of thousands of scientists have contributed to our current understanding of the brain. It is an essential resource for those studying the intersection of computer science, AI, and machine learning within the context of biological information processing. Whether you are researching cortical functions or the history of cognitive science, this work offers a foundation built on centuries of accumulated scientific effort.

Key Features

Examines the historical evolution of neuroscience from ancient philosophical roots to modern technological research.

Provides a comprehensive look at human cortical information processing through the lens of computational modeling.

Connects classical theories of cognitive association with contemporary scientific knowledge of the brain.

Serves as a deep resource for students and professionals in AI, machine learning, and computer science.

Offers insights into the massive body of knowledge gathered by the global scientific community.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 December 2002
Listed Since
02 February 2007

Barcode

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