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Synopsis
This text provides a comprehensive introduction to Organoid Intelligence (OI), an emerging and interdisciplinary field at the intersection of biology, computation, neuroscience, and engineering. These notes are intended to act as a course companion (which may be designed based on the following syllabus), not necessarily a standalone text for self-study unless the reader already has some familiarity with studying computational neuroscience and artificial intelligence. It is designed for advanced undergraduate and graduate students (e.g., a 500/600-level course) who are already familiar with linear algebra, programming, and AI concepts such as machine learning and deep learning. The text begins by establishing the necessary biological background, covering essential topics like cell biology, neurogenesis, computational neuroscience, and the development of brain organoids. From there, it explores how these biological foundations intersect with computational models to form the basis of OI. Through practical projects using the PyOrganoid Python library, students will learn to create and simulate Deep Organoid Learning models, applying theoretical concepts in a hands-on environment. Furthermore, the text is designed to prepare students for more advanced studies and experimental work in Organoid Intelligence, particularly in contexts where real brain organoids are combined with AI models for cutting-edge research and applications.
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- PublisherLulu.com
- Publication date2024
- ISBN 10 1304107744
- ISBN 13 9781304107749
- BindingPaperback
- LanguageEnglish
- Number of pages64
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Paperback. Condition: new. Paperback. This text provides a comprehensive introduction to Organoid Intelligence (OI), an emerging and interdisciplinary field at the intersection of biology, computation, neuroscience, and engineering. These notes are intended to act as a course companion (which may be designed based on the following syllabus), not necessarily a standalone text for self-study unless the reader already has some familiarity with studying computational neuroscience and artificial intelligence. It is designed for advanced undergraduate and graduate students (e.g., a 500/600-level course) who are already familiar with linear algebra, programming, and AI concepts such as machine learning and deep learning. The text begins by establishing the necessary biological background, covering essential topics like cell biology, neurogenesis, computational neuroscience, and the development of brain organoids. From there, it explores how these biological foundations intersect with computational models to form the basis of OI. Through practical projects using the PyOrganoid Python library, students will learn to create and simulate Deep Organoid Learning models, applying theoretical concepts in a hands-on environment. Furthermore, the text is designed to prepare students for more advanced studies and experimental work in Organoid Intelligence, particularly in contexts where real brain organoids are combined with AI models for cutting-edge research and applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781304107749
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This text provides a comprehensive introduction to Organoid Intelligence (OI), an emerging and interdisciplinary field at the intersection of biology, computation, neuroscience, and engineering. These notes are intended to act as a course companion (which may be designed based on the following syllabus), not necessarily a standalone text for self-study unless the reader already has some familiarity with studying computational neuroscience and artificial intelligence. It is designed for advanced undergraduate and graduate students (e.g., a 500/600-level course) who are already familiar with linear algebra, programming, and AI concepts such as machine learning and deep learning. The text begins by establishing the necessary biological background, covering essential topics like cell biology, neurogenesis, computational neuroscience, and the development of brain organoids. From there, it explores how these biological foundations intersect with computational models to form the basis of OI. Through practical projects using the PyOrganoid Python library, students will learn to create and simulate Deep Organoid Learning models, applying theoretical concepts in a hands-on environment. Furthermore, the text is designed to prepare students for more advanced studies and experimental work in Organoid Intelligence, particularly in contexts where real brain organoids are combined with AI models for cutting-edge research and applications. Seller Inventory # 9781304107749
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Introduction to Organoid Intelligence (Paperback)
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Paperback. Condition: new. Paperback. This text provides a comprehensive introduction to Organoid Intelligence (OI), an emerging and interdisciplinary field at the intersection of biology, computation, neuroscience, and engineering. These notes are intended to act as a course companion (which may be designed based on the following syllabus), not necessarily a standalone text for self-study unless the reader already has some familiarity with studying computational neuroscience and artificial intelligence. It is designed for advanced undergraduate and graduate students (e.g., a 500/600-level course) who are already familiar with linear algebra, programming, and AI concepts such as machine learning and deep learning. The text begins by establishing the necessary biological background, covering essential topics like cell biology, neurogenesis, computational neuroscience, and the development of brain organoids. From there, it explores how these biological foundations intersect with computational models to form the basis of OI. Through practical projects using the PyOrganoid Python library, students will learn to create and simulate Deep Organoid Learning models, applying theoretical concepts in a hands-on environment. Furthermore, the text is designed to prepare students for more advanced studies and experimental work in Organoid Intelligence, particularly in contexts where real brain organoids are combined with AI models for cutting-edge research and applications. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781304107749
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Introduction to Organoid Intelligence (Paperback)
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Paperback. Condition: new. Paperback. This text provides a comprehensive introduction to Organoid Intelligence (OI), an emerging and interdisciplinary field at the intersection of biology, computation, neuroscience, and engineering. These notes are intended to act as a course companion (which may be designed based on the following syllabus), not necessarily a standalone text for self-study unless the reader already has some familiarity with studying computational neuroscience and artificial intelligence. It is designed for advanced undergraduate and graduate students (e.g., a 500/600-level course) who are already familiar with linear algebra, programming, and AI concepts such as machine learning and deep learning. The text begins by establishing the necessary biological background, covering essential topics like cell biology, neurogenesis, computational neuroscience, and the development of brain organoids. From there, it explores how these biological foundations intersect with computational models to form the basis of OI. Through practical projects using the PyOrganoid Python library, students will learn to create and simulate Deep Organoid Learning models, applying theoretical concepts in a hands-on environment. Furthermore, the text is designed to prepare students for more advanced studies and experimental work in Organoid Intelligence, particularly in contexts where real brain organoids are combined with AI models for cutting-edge research and applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781304107749
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