000			03123nam a2200385 i 4500
942			_2lcc _cLE _n0
999			_c330448 _d330448 _x1
001			330448
003			ES-MaUEC
005			20230102114542.0
006			a|||| o|||| 00| 0
007			cr nn nnnaamaa
008			210302s2021 gw |a o |||| 0|eng d
020			_a9783030672997
024	7		_a10.1007/978-3-030-67299-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _eRDA _dES-MaUEC
050		4	_aBF201 _b2021 EB
100	1		_aEngbert, Ralf _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9677795
245	1	0	_aDynamical Models In Neurocognitive Psychology _cby Ralf Engbert
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XIII, 155 páginas) _b76 ilustraciones, 53 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aBehavioral Science and Psychology (SpringerNature-41168)
490	0		_aBehavioral Science and Psychology (SpringerNature-43718)
505	0		_aChapter 1. Neural Coding -- Chapter 2. Fixational Eye Movements -- Chapter 3. Information Accumulation -- Chapter 4. Sensorimotor Integration -- Chapter 5. Eye-movement Control During Reading -- Chapter 6. Scene Viewing and Spatial Statistics -- Chapter 7. Bimanual Coordination -- Chapter 8. Epilog: Dynamical Models.
520	3		_aThe development of cognitive models is a key step in the challenging research program to advance our understanding of human cognition and behavior. Dynamical models represent a general and flexible approach to cognitive modeling. This introduction focuses on applications of stochastic processes and dynamical systems to model cognition. The dynamical approach is particularly useful to emphasize the strong link between experimental research (and its paradigms), data analysis, and mathematical models including their computer implementation for numerical simulation. Most of specific examples are from the domain of eye movement research, with concepts being applicable to a broad range of problems in cognitive modeling. The textbook aims at the graduate and/or advanced undergraduate level for students in Cognitive Science and related disciplines such as Psychology and Computer Science. Joint introduction of the theory of cognitive processes and mathematical models, their underlying mathematical concepts, numerical simulation, and analysis; The focus on eye movements provide a theoretically coherent, but very general application area; Computer code in R Programming Language for Statistical Computing is available for all examples, figures, and solutions to exercises.
988			_aSpringer_Psychology_2021
650		7	_2embne _9413149 _aPsicología cognitiva
650		7	_2embne _9413165 _aNeurociencia cognitiva
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-67299-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
998			_b03/2021 _dz _eb _zSI