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001			394819
003			ES-MaUEC
005			20230102123202.0
007			cr nn 008mamaa
008			220728s2022 sz | s |||| 0|eng d
020			_a9783031003110
024	7		_a10.1007/978-3-031-00311-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
100	1		_aPalm, Günther _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aNeural Assemblies _bAn Alternative Approach to Classical Artificial Intelligence _cby Günther Palm
250			_a2nd edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXI, 259 páginas) _b87 ilustraciones, 10 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aPart 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?. .
520			_aIn 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.
776	0	8	_iPrinted edition: _z9783031003103
776	0	8	_iPrinted edition: _z9783031003127
776	0	8	_iPrinted edition: _z9783031003134
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-00311-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_BiomedLife_2022
999			_c394819 _d394819