Read Online The Self-Assembling Brain: How Neural Networks Grow Smarter By Peter Robin Hiesinger

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The Self-Assembling Brain: How Neural Networks Grow Smarter-Peter Robin Hiesinger

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What neurobiology and artificial intelligence tell us about how the brain builds itself How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in artificial intelligence strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network?As Peter Robin Hiesinger argues, “the information problem” underlies both fields, motivating the questions driving forward the frontiers of research. How does genetic information unfold during the years-long process of human brain development—and is there a quicker path to creating human-level artificial intelligence? Is the biological brain just messy hardware, which scientists can improve upon by running learning algorithms on computers? Can AI bypass the evolutionary programming of “grown” networks? Through a series of fictional discussions between researchers across disciplines, complemented by in-depth seminars, Hiesinger explores these tightly linked questions, highlighting the challenges facing scientists, their different disciplinary perspectives and approaches, as well as the common ground shared by those interested in the development of biological brains and AI systems. In the end, Hiesinger contends that the information content of biological and artificial neural networks must unfold in an algorithmic process requiring time and energy. There is no genome and no blueprint that depicts the final product. The self-assembling brain knows no shortcuts.Written for readers interested in advances in neuroscience and artificial intelligence, The Self-Assembling Brain looks at how neural networks grow smarter.

Book The Self-Assembling Brain: How Neural Networks Grow Smarter Review :



In this extremely scholarly but also quite accessible book, Robin Hiesinger systematically covers historical and conceptual landscape that forms the basis for today’s developmental neurobiology and artificial intelligence (AI) disciplines. The text relies on various narrative approaches to initiate the much-needed conversation between contemporary AI and neurobiology communities. This book has the potential to have the impact similar to Erwin Schrödinger’s famous “What is Life”, which fostered the molecular biology revolution, bringing disciplines together for true advances in understanding how brains are built and function.Lisa Monteggia & Ege Kavalali, Neuroscientists
This book is profound. Where else can you find a thoughtful discussion linking algorithmic complexity to developmental and molecular neurobiology? I consider it required reading for anyone who thinks about AI and principles of brain function.

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