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020 _a9789400771079
_9978-94-007-7107-9
024 7 _a10.1007/978-94-007-7107-9
_2doi
050 4 _aR-RZ
072 7 _aMBGR
_2bicssc
072 7 _aMED000000
_2bisacsh
082 0 4 _a610
_223
100 1 _aCoward, L Andrew.
_eauthor.
245 1 0 _aTowards a Theoretical Neuroscience: from Cell Chemistry to Cognition
_h[electronic resource] /
_cby L Andrew Coward.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2013.
300 _aXX, 443 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.- Towards 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 0 _aMedicine.
650 0 _aNeurosciences.
650 0 _aNeurochemistry.
650 0 _aComputer organization.
650 0 _aNeuropsychology.
650 1 4 _aBiomedicine.
650 2 4 _aBiomedicine general.
650 2 4 _aNeuropsychology.
650 2 4 _aNeurosciences.
650 2 4 _aNeurochemistry.
650 2 4 _aComputer Systems Organization and Communication Networks.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789400771062
830 0 _aSpringer Series in Cognitive and Neural Systems ;
_v8
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-007-7107-9
912 _aZDB-2-SBL
942 _2Dewey Decimal Classification
_ceBooks
999 _c48962
_d48962