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001			u374979
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007			cr nn 008mamaa
008			100904s2010 gw | s |||| 0|eng d
020			_a9783642152542 _9978-3-642-15254-2
040			_cMX-MeUAM
050		4	_aQ342
082	0	4	_a006.3 _223
100	1		_aWolfrum, Philipp. _eauthor.
245	1	0	_aInformation Routing, Correspondence Finding, and Object Recognition in the Brain _h[recurso electrónico] / _cby Philipp Wolfrum.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_aXV, 133 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStudies in Computational Intelligence, _x1860-949X ; _v316
505	0		_aBackground and Concepts -- A Correspondence-Based Neural Model for Face Recognition -- Switchyards-Routing Structures in the Brain -- Ontogenesis of Switchyards -- Putting the Pieces Together: Recognition with Switchyards -- Discussion and Outlook.
520			_aThis book covers recent research on cortical signal processing and plasticity, with an emphasis on object recognition. Differently from other texts which study the behavior of single neurons, however, the focus here is on assemblies of neurons and how they can collectively represent information patterns and their dynamic relationships. This viewpoint leads to novel concepts for how the brain routes information in a purposeful way, how it detects correspondences between patterns, and how sensory inputs are recognized. To illustrate the function of these concepts, the author proceeds to develop several concrete neural models, including a powerful system for face recognition. Other parts of the book treat the question which neural substrates are necessary for such capabilities, and how they can self-organize in the developing organism. While most of the explicit examples in the book are drawn from vision, the concepts described apply to all areas of neural function from sensory perception to motor control to abstract reasoning. Consequently, readership is aimed at all students and researchers in neuroscience interested in exploring new paradigms of brain function. Experimentalists may draw inspiration from the book for designing anatomical and physiological experiments that lead the way from the current focus on static receptive fields to investigating the dynamic, functional connectivity of cortex. Theoreticians are invited to incorporate the discussed concepts into their own modeling, and to improve on the models presented in the book. While familiarity with the basic notions of theoretical neuroscience is useful for enjoying this book, it also offers to those without a vision background an introduction to the function of the mammalian visual pathway, as well as a broad discussion of different computer vision approaches to object recognition.
650		0	_aEngineering.
650		0	_aNeurosciences.
650		0	_aArtificial intelligence.
650		0	_aPhysics.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aComplexity.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aNeurosciences.
650	2	4	_aNonlinear Dynamics.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642152535
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v316
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-15254-2
596			_a19
942			_cLIBRO_ELEC
999			_c202859 _d202859