Hiesinger, Peter Robin
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자료유형 | E-BOOK |
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서명/저자사항 | The self-assembling brain : how neural networks grow smarter/ Peter Robin Hiesinger. |
개인저자 | Hiesinger, Peter Robin,author. |
발행사항 | Princeton: Princeton University Press, [2021]. |
형태사항 | 1 online resource (xvi, 364 pages). |
기타형태 저록 | Print version: Hiesinger, Peter Robin. The self-assembling brain Princeton : Princeton University Press, [2021] 9780691181226 |
ISBN | 0691215510 9780691215518 |
서지주기 | Includes bibliographical references and index. |
요약 | "In this book, Peter Robin Hiesinger explores historical and contemporary attempts to understand the information needed to make biological and artificial neural networks. Developmental neurobiologists and computer scientists with an interest in artificial intelligence - driven by the promise and resources of biomedical research on the one hand, and by the promise and advances of computer technology on the other - are trying to understand the fundamental principles that guide the generation of an intelligent system. Yet, though researchers in these disciplines share a common interest, their perspectives and approaches are often quite different. The book makes the case that "the information problem" underlies both fields, driving the questions that are driving forward the frontiers, and aims to encourage cross-disciplinary communication and understanding, to help both fields make progress. The questions that challenge researchers in these fields include the following. How does genetic information unfold during the years-long process of human brain development, and can this be a short-cut to create human-level artificial intelligence? Is the biological brain just messy hardware that can be improved upon by running learning algorithms in computers? Can artificial intelligence bypass evolutionary programming of "grown" networks? These questions are tightly linked, and answering them requires an understanding of how information unfolds algorithmically to generate functional neural networks. Via a series of closely linked "discussions" (fictional dialogues between researchers in different disciplines) and pedagogical "seminars," the author explores the different challenges facing researchers working on neural networks, their different perspectives and approaches, as well as the common ground and understanding to be found amongst those sharing an interest in the development of biological brains and artificial intelligent systems"-- |
해제 | Provided by publisher. |
일반주제명 | Neural networks (Computer science) Neural circuitry --Adaptation. Learning --Physiological aspects. Artificial intelligence. Artificial intelligence. Neural circuitry --Adaptation. Neural networks (Computer science) SCIENCE / Life Sciences / Neuroscience |
언어 | 영어 |
바로가기 | URL |
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