LEADER 04141nam 2200589Ia 450 001 9910437623403321 005 20200520144314.0 010 $a94-007-7107-X 024 7 $a10.1007/978-94-007-7107-9 035 $a(CKB)2670000000536673 035 $a(EBL)1399088 035 $a(OCoLC)858764689 035 $a(SSID)ssj0000986628 035 $a(PQKBManifestationID)11622358 035 $a(PQKBTitleCode)TC0000986628 035 $a(PQKBWorkID)10938709 035 $a(PQKB)11047176 035 $a(DE-He213)978-94-007-7107-9 035 $a(MiAaPQ)EBC1399088 035 $a(PPN)172434033 035 $a(EXLCZ)992670000000536673 100 $a20130722d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aTowards a theoretical neuroscience $efrom cell chemistry to cognition /$fL. Andrew Coward 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (458 p.) 225 0 $aSpringer series in cognitive and neural systems ;$v8 300 $aIncludes bibliographical references and index. 311 $a94-007-7106-1 311 $a94-007-9952-7 327 $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. 330 $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. 410 0$aSpringer Series in Cognitive and Neural Systems,$x2363-9105 ;$v8 606 $aNeurosciences 606 $aNeuropsychology 615 0$aNeurosciences. 615 0$aNeuropsychology. 676 $a004.6 676 $a573.80113 700 $aCoward$b L. Andrew$0994351 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437623403321 996 $aTowards a theoretical neuroscience$94185142 997 $aUNINA