Dynamical models in neurocognitive psychology / Ralf Engbert.
Editor: Cham : Springer, 2021Descripción: 1 online resource (158 pages)Tipo de contenido:- text
- computer
- online resource
- 9783030672997
- 3030672999
- 153 23
- QP360.5 .E543 2021
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Libro electrónico | Biblioteca de Mayagüez Acceso en línea | QP360.5 .E543 2021 (Navegar estantería(Abre debajo)) | Ebook c. 1 | Disponible | 50000003285854 | |||||||||||||
| Libro electrónico | Biblioteca Encarnación Valdés Acceso en línea | 153 (Navegar estantería(Abre debajo)) | Disponible | on1241446125 |
Description based upon print version of record.
Includes index.
Chapter 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.
The 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. .
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