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Neurobiology and Artificial Intelligence cover

Neurobiology and Artificial Intelligence

Medical, Social and Ethical Implications

by Luca Saba

1st Edition

Publisher: Academic Press

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Book Details

Print ISBN9780443447280
eText ISBN9780443447297
PublisherAcademic Press
Publishing Year2026
Edition1st Edition
LanguageEnglish
Pages328

Neurobiology and Artificial Intelligence, 1st Edition, investigates the scientific, philosophical, and ethical dimensions where computational systems and neural biological structures meet. Formulated for researchers across neuroscience, cognition, neurobiology, and artificial intelligence, as well as upper graduate students, this academic work establishes a systematic foundation for examining synthetic and natural cognition.

The thematic progression moves from brain visualization techniques and biological neural functioning to machine learning principles and artificial neural networks. Core chapters evaluate specialized developments such as network medicine, human-machine interfaces, neuroprosthetics, and diverse forms of biological intelligence, alongside the neurobiology of addiction and behavioral dependency on artificial systems.

Additional coverage addresses the impact of computational tools on human memory, creative thinking, and interpersonal relationships. The volume further explores advanced topics including brain simulation, artificial consciousness, hybrid artificial intelligence models, superintelligence, and technological singularity. Released by Academic Press, the 328-page paperback edition supports advanced seminar work and interdisciplinary investigation.

Table of Contents

  1. Chapter 1: Neurobiology and artificial intelligence: a brief history

  2. Chapter 2: The neurobiology of intelligence

  3. Chapter 3: Foundations of artificial intelligence

  4. Chapter 4: Machine learning and artificial neural networks

  5. Chapter 5: Visualizing the brain and its functioning

  6. Chapter 6: The “black box”

  7. Chapter 7: Different types of biological intelligence

  8. Chapter 8: Learning

  9. Chapter 9: Network medicine and artificial intelligence

  10. Chapter 10: The coding of evolutionary processes, learning, and intelligence

  11. Chapter 11: The neurobiology of addiction and artificial intelligence dependency

  12. Chapter 12: The impact of artificial intelligence on human memory and intelligence

  13. Chapter 13: Artificial intelligence and creativity: catalyst or constraint?

  14. Chapter 14: Artificial intelligence and human relationships

  15. Chapter 15: The inflation of scientific cycles

  16. Chapter 16: The human–machine interface and neuroprosthetics

  17. Chapter 17: The simulation of the human brain and artificial consciousness?

  18. Chapter 18: Staying alive

  19. Chapter 19: Toward a shared future: hybrid artificial intelligence

  20. Chapter 20: Superintelligence and singularity: what rules?

  21. Chapter 21: The concept of “humanity”

  22. Chapter 22: Science and ethics: reflections on the future of humanity

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▶Research Sources (14)
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  • An Interwoven History of Neuroscience and AI: Intro
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