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

Description: FREE SHIPPING UK WIDE The Self-Assembling Brain by Peter Robin Hiesinger What neurobiology and artificial intelligence tell us about how the brain builds itself FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description What neurobiology and artificial intelligence tell us about how the brain builds itselfHow 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. Hiesinger elegantly moves through a variety of topics, ranging from biological development to AI and ending with a discussion of the advances that deep neural networks have brought to the field of brain-machine interfaces. - Kamila Maria Jwik, ScienceHiesinger suggests that instead of looking at the brain from an endpoint perspective, we should study how information encoded in the genome is transformed to become the brain as we grow...The Self-Assembling Brain is organized as a series of seminar presentations interspersed with discussions between a robotics engineer, a neuroscientist, a geneticist, and an AI researcher. The thought-provoking conversations help to understand the views and the holes of each field on topics related to the mind, the brain, intelligence, and AI. - Ben Dickson, TechTalks Author Biography Peter Robin Hiesinger is professor of neurobiology at Freie Universitt Berlin, where he teaches undergraduate and graduate students and leads a research laboratory and a multilab research consortium on neural networks. Review "Hiesinger elegantly moves through a variety of topics, ranging from biological development to AI and ending with a discussion of the advances that deep neural networks have brought to the field of brain-machine interfaces."---Kamila Maria Jówik, Science"Hiesinger suggests that instead of looking at the brain from an endpoint perspective, we should study how information encoded in the genome is transformed to become the brain as we grow. . . . The Self-Assembling Brain is organized as a series of seminar presentations interspersed with discussions between a robotics engineer, a neuroscientist, a geneticist, and an AI researcher. The thought-provoking conversations help to understand the views and the holes of each field on topics related to the mind, the brain, intelligence, and AI."---Ben Dickson, TechTalks"For anyone interested in the brain, or AI, or any of the myriad of branches and subbranches of each, I would highly recommend this!"---Jonathan Shock, Mathemafrica Long Description 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. Review Quote "Hiesinger elegantly moves through a variety of topics, ranging from biological development to AI and ending with a discussion of the advances that deep neural networks have brought to the field of brain-machine interfaces." ---Kamila Maria J Details ISBN0691181225 Author Peter Robin Hiesinger Short Title The Self-Assembling Brain Publisher Princeton University Press Language English Year 2021 ISBN-10 0691181225 ISBN-13 9780691181226 Format Hardcover Subtitle How Neural Networks Grow Smarter Pages 384 Imprint Princeton University Press Place of Publication New Jersey Country of Publication United States NZ Release Date 2021-05-04 US Release Date 2021-05-04 UK Release Date 2021-05-04 Illustrations 49 b/w illus. Publication Date 2021-05-04 DEWEY 006.32 Audience Tertiary & Higher Education Alternative 9780691241692 AU Release Date 2021-07-14 We've got this At The Nile, if you're looking for it, we've got it. 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