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_2bicssc
072 7 _aTEC008010
_2bisacsh
072 7 _aTJFC
_2thema
082 0 4 _a621.3815
_223
100 1 _aPatanè, Luca.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aNonlinear Circuits and Systems for Neuro-inspired Robot Control
_h[electronic resource] /
_cby Luca Patanè, Roland Strauss, Paolo Arena.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXII, 99 p. 42 illus., 40 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Nonlinear Circuits,
_x2520-1433
500 _aAcceso multiusuario
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 _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.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aElectronic circuits.
650 0 _aInformation theory.
650 0 _aNeurobiology.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 1 4 _aCircuits and Systems.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T24068
650 2 4 _aInformation and Communication, Circuits.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M13038
650 2 4 _aNeurobiology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/L25066
650 2 4 _aControl, Robotics, Mechatronics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T19000
700 1 _aStrauss, Roland.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aArena, Paolo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319733463
776 0 8 _iPrinted edition:
_z9783319733487
830 0 _aSpringerBriefs in Nonlinear Circuits,
_x2520-1433
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-73347-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c243927
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