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008			130821s2013 ne | s |||| 0|eng d
020			_a9789400771079
024	7		_a10.1007/978-94-007-7107-9 _2doi
040			_dES-MaUEC
050		4	_aQP395 _b.C693 2013
100	1		_aCoward, L. Andrew _986204
245	1	0	_aTowards a Theoretical Neuroscience: from Cell Chemistry to Cognition _cby L Andrew Coward.
260			_aDordrecht, Netherlands _bSpringer International Publishing _c2013
300			_a1 recurso en línea (XX, 443 p.) _b130 ilustraciones, 28 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSpringer Series in Cognitive and Neural Systems _v8
505	0		_aThe nature of scientific understanding -- Higher Cognition -- Brain Anatomy -- Neuron Physiology -- Intracellular message chains -- Major Anatomical Structures -- Constraints on the physical architecture of the brain -- Appearance of architectural constraints in the brain -- Memory and the organisation of experience -- Attention and working memory -- Understanding complex cognitive phenomena.-Â{u4BF7}ards a Theoretical Neuroscience.
520			_aAn effective theoretical neuroscience must deliver an accurate, comprehensible and intuitively satisfying understanding of higher cognition in terms of anatomy, neuron physiology and neurochemistry. Massive simulations of assemblies of relatively realistic neurons do not necessarily contribute to understanding, because such simulations can be just one more complex system that is not understood in any satisfying way. Collection of extensive data on the connectivity of the brain may also contribute little to understanding in the absence of an effective theoretical framework. Beginning in the 1980s, some extremely complex electronic systems have been created. Each such system required thousands of man years of design effort and utilises many billions of transistors. These systems are understood by human beings. Although there are minimal direct resemblances between such electronic systems and the brain, the techniques for achieving electronic system understanding can be adapted to create the framework for an effective neuroscience. This book describes how these techniques are applied to understanding the brain. From 1969 to 1999 the author worked on many aspects of the design and manufacturing of complex electronic systems. Since 1982, he has been active in the creation of a theoretical neuroscience framework. The book covers the following areas: -The nature of scientific understanding and ways to achieve it -Key topics in psychology, neuroanatomy, neurophysiology and neurochemistry -Theoretical constraints on brain architecture and appearance of those constraints in the human brain -How the architectural constraints make it possible to map between descriptions of brain activity on different levels of detail -Understanding of attention, semantic and episodic memory, procedural and working memory in terms of anatomy, neuron physiology and neurochemistry -Understanding of complex cognitive phenomena including speech, prospective memory, consciousness and self awareness.
650		7	_2embne _aCerebro _9139532
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-94-007-7107-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907			_a.b12824719 _b10-10-17 _c01-10-14
942			_2lcc _cLE
945			_aQP395 .C693 2013 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11553923 _z06-04-17
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