000			03737nam a2200445 i 4500
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/274647764/ _9106996
999			_c102765 _d102765 _x1
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003			ES-MaUEC
005			20230102113058.0
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007			cr nn 008mamaa
008			180320s2018 gw a s |||| 0|eng d
020			_a9783319733470
024	7		_a10.1007/978-3-319-73347-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTJ211.35 _b2018 EB
100	1		_aPatanè, Luca _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/no2009116661 _1http://viaf.org/viaf/91203572/ _9673817
245	1	0	_aNonlinear Circuits and Systems for Neuro-inspired Robot Control _cby Luca Patanè, Roland Strauss, Paolo Arena.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XII, 99 páginas) _b42 ilustraciones, 40 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSpringerBriefs in Nonlinear Circuits _x2520-1433
490	0		_aEngineering (Springer-11647)
505	0		_aBiological Investigation of Neural Circuits in the Insect Brain -- Nonlinear Neuro-inspired Circuits and Systems: Processing and Learning Issues -- Modelling Spatial Memory -- Controlling and Learning Motor Function -- Learning Spatio-temporal Behavioural Sequences -- Towards Neural Reusable Neuro-inspired Systems -- Summary and Conclusions.
520	3		_aThis book guides readers along a path that proceeds from neurobiology to nonlinear-dynamical circuits, to nonlinear neuro-controllers and to bio-inspired robots. It provides a concise exploration of the essence of neural processing in simple animal brains and its adaptation and extrapolation to modeling, implementation, and realization of the analogous emergent features in artificial but bio-inspired robots: an emerging research field. The book starts with a short presentation of the main areas of the Drosophila brain. These are modeled as nonlinear dynamical structures, which are then used to showcase key features like locomotion, motor learning, memory formation, and exploitation. It also discusses additional complex behaviors, such as sequence learning and perception, which have recently been discovered to exist in insects. Much of the material presented has been tested in biorobotics classes for the Master's degree in Automation Engineering and Control of Complex Systems at the University of Catania.  Reporting on the work fostered by several national and international research projects, the book offers researchers novel ideas on how neuro-inspired dynamics can be used in developing the autonomous machines of the future.
988			_aEBSPRINGER_2018
650		7	_2embne _9667114 _aRobots _xSistemas de control
650		7	_2embne _9667714 _aSistemas no lineales
650		7	_2embne _aNeurobiología _9139039
700	1		_aStrauss, Roland _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/nr92042591 _1http://viaf.org/viaf/71397100/ _9673818
700	1		_aArena, Paolo _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/90266351/ _9673819
776	0	8	_iEdición impresa: _z9783319733463
776	0	8	_iEdición impresa: _z9783319733487
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-73347-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _ek _zSI