Machine Learning for Neuroscience: A Systematic Approach

by Chuck Easttom

This book addresses the growing need for machine learning and data mining in neuroscience. The book offers a basic overview of the neuroscience, machine learning and the required math and programming necessary to develop reliable working models. The material is presented in a easy to follow user-friendly manner and is replete with fully working machine learning code. Machine Learning for Neuroscience: A Systematic Approach, tackles the needs of neuroscience researchers and practitioners that have very little training relevant to machine learning. The first section of the book provides an overview of necessary topics in order to delve into machine learning, including basic linear algebra and Python programming. The second section provides an overview of neuroscience and is directed to the computer science oriented readers. The section covers neuroanatomy and physiology, cellular neuroscience, neurological disorders and computational neuroscience. The third section of the book then delves into how to apply machine learning and data mining to neuroscience and provides coverage of artificial neural networks (ANN), clustering, and anomaly detection. The book contains fully working code examples with downloadable working code. It also contains lab assignments and quizzes, making it appropriate for use as a textbook. The primary audience is neuroscience researchers who need to delve into machine learning, programmers assigned neuroscience related machine learning projects and students studying methods in computational neuroscience.

280 pages, Kindle Edition

Published July 31, 2023

About the author

Chuck Easttom is an internationally renowned computer security expert and trainer. He has been in the IT industry for over 18 years and training for over 10. He has conducted numerous computer security courses over the past decade, most notably for the Secret Service Electronic Crimes Task Force. Students in his classes often include network administrators, corporate chief security officers (CSO’s), federal agents, local law enforcement, military personal, and department of defense contractors. He also has a master’s degree in education as well as a master’s of business administration (specialized in applied computer science) and has been named to both Who’s Who in Education and Whose Who in Science and Technology. He holds over 28 industry certifications including prominent computer security certifications such as CHFI, CISSP, ISSAP, and CEH. In addition to his many certifications he is a Microsoft Certified Trainer and an EC Council certified instructor.

He was part of the teams that created the CompTIA Security+ certification test, as well as their Server+ and Linux+ certification test. He was also part of the CEH version 8 job task analysis team. Chuck also created the EC Councils CAST 615 cryptography course as well as their new Certified Encryption Specialist certification course.


He is the author of 15 computer science books including two computer security textbooks from Pearson publishing that are used at universities around the world. He is also the author of a book specifically on computer crime from Cengage publishing, and most recently a computer forensics textbook from Jones and Barlett publishing.

Chuck has been a speaker on various computer security related topics including the following: the Harvard Computer Society (topic the history of computer crime), Columba University ACM Chapter (topic the history of computer viruses), Takedown con (multiple topics all related to cryptography), and Hacker Halted (topic cryptography), and the Southern Methodist University Computer Science and Engineering research colloquium (topic organized computer crime and terrorism).