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Neural assemblies = an alternative a...

Palm, Gunther.

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Neural assemblies = an alternative approach to classical artificial intelligence /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Neural assemblies/ by Gunther Palm.
其他題名:	an alternative approach to classical artificial intelligence /
作者:	Palm, Gunther.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xxi, 259 p. :ill., digital ;24 cm.
內容註:	Part 1: Basic Facts and Ideas for a Brain -- Chapter 1: The brain is an organ for information processing -- Chapter 2: The organization and improvement of behavior -- Chapter 3: A neuronal realization of the survival algorithm -- Chapter4: On the structure and function of cortical areas -- Part 2: Thinking in Cell Assemblies -- Chapter 5: Cognitive mental processes realized by cell assemblies in the cortex -- Chapter 6: A Model of Language Understanding by Interacting Cortical Areas -- Chapter 7: Can we accept a mechanistic description of our mental processes? -- Part 3: Further Developments until Today -- Chapter 8: Developments in Computer Science and Technical Applications -- Chapter 9: New Results from Brain Research and Neuroscience -- Chapter 10: Development of Brain Theory -- Chapter 11: Do we need Cognitive Neuroscience?.
Contained By:	Springer Nature eBook
標題:	Computational neuroscience. -
電子資源:	https://doi.org/10.1007/978-3-031-00311-0
ISBN:	9783031003110

Neural assemblies = an alternative approach to classical artificial intelligence /
Palm, Gunther.

Neural assembliesan alternative approach to classical artificial intelligence /[electronic resource] :by Gunther Palm. - Second edition. - Cham :Springer International Publishing :2022. - xxi, 259 p. :ill., digital ;24 cm.

Part 1: Basic Facts and Ideas for a Brain -- Chapter 1: The brain is an organ for information processing -- Chapter 2: The organization and improvement of behavior -- Chapter 3: A neuronal realization of the survival algorithm -- Chapter4: On the structure and function of cortical areas -- Part 2: Thinking in Cell Assemblies -- Chapter 5: Cognitive mental processes realized by cell assemblies in the cortex -- Chapter 6: A Model of Language Understanding by Interacting Cortical Areas -- Chapter 7: Can we accept a mechanistic description of our mental processes? -- Part 3: Further Developments until Today -- Chapter 8: Developments in Computer Science and Technical Applications -- Chapter 9: New Results from Brain Research and Neuroscience -- Chapter 10: Development of Brain Theory -- Chapter 11: Do we need Cognitive Neuroscience?.

In the new edition of Neural Assemblies, the author places his original ideas and motivations within the framework of modern and cognitive neuroscience and gives a short and focused overview of the development of computational neuroscience and artificial neural networks over the last 40 years. In this book the author develops a theory of how the human brain might function. Starting with a motivational introduction to the brain as an organ of information processing, he presents a computational perspective on the basic concepts and ideas of neuroscience research on the underlying principles of brain function. In addition, the reader is introduced to the most important methods from computer science and mathematical modeling that are required for a computational understanding of information processing in the brain. Written by an expert in the field of neural information processing, this book offers a personal historical view of the development of artificial intelligence, artificial neural networks, and computational cognitive neuroscience over the last 40 years, with a focus on the realization of higher cognitive functions rather than more peripheral sensory or motor organization. The book is therefore aimed at students and researchers who want to understand how the basic neuroscientific and computational concepts in the study of brain function have changed over the last decades.

ISBN: 9783031003110

Standard No.: 10.1007/978-3-031-00311-0doiSubjects--Topical Terms:

610819
Computational neuroscience.

LC Class. No.: QP376 / .P34 2022

Dewey Class. No.: 612.8

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