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| 001 | 978-3-319-73347-0 | ||
| 003 | DE-He213 | ||
| 005 | 20220801221244.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 180320s2018 sz | s |||| 0|eng d | ||
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_a9783319733470 _9978-3-319-73347-0 |
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| 024 | 7 |
_a10.1007/978-3-319-73347-0 _2doi |
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| 050 | 4 | _aTK7867-7867.5 | |
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_a621.3815 _223 |
| 100 | 1 |
_aPatanè, Luca. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _954964 |
|
| 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. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringerBriefs in Nonlinear Circuits, _x2520-1441 |
|
| 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. | ||
| 650 | 0 |
_aElectronic circuits. _919581 |
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| 650 | 0 |
_aComputer science—Mathematics. _931682 |
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| 650 | 0 |
_aNeurosciences. _924499 |
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| 650 | 0 |
_aControl engineering. _931970 |
|
| 650 | 0 |
_aRobotics. _92393 |
|
| 650 | 0 |
_aAutomation. _92392 |
|
| 650 | 1 | 4 |
_aElectronic Circuits and Systems. _954965 |
| 650 | 2 | 4 |
_aMathematical Applications in Computer Science. _931683 |
| 650 | 2 | 4 |
_aNeuroscience. _934310 |
| 650 | 2 | 4 |
_aControl, Robotics, Automation. _931971 |
| 700 | 1 |
_aStrauss, Roland. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _954966 |
|
| 700 | 1 |
_aArena, Paolo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _954967 |
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| 710 | 2 |
_aSpringerLink (Online service) _954968 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319733463 |
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_iPrinted edition: _z9783319733487 |
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_aSpringerBriefs in Nonlinear Circuits, _x2520-1441 _954969 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-73347-0 |
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