From Brains to Systems : Brain-Inspired Cognitive Systems 2010 /

From Brains to Systems : Brain-Inspired Cognitive Systems 2010 /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Hernández, Carlos. (Editor ), Sanz, Ricardo. (Editor ), Gómez Ramirez, Jaime. (Editor ), Smith, Leslie S. (Editor ), Hussain, Amir. (Editor ), Chella, Antonio. (Editor ), Aleksander, Igor. (Editor )
Formato: eBook
Lenguaje:English
Publicado: New York, NY : Springer New York : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Advances in Experimental Medicine and Biology, 718
Materias:
Neurosciences.
Computers.
Artificial intelligence.
Application software.
Signal processing.
Image processing.
Speech processing systems.
Computation by Abstract Devices.
Artificial Intelligence.
Information Systems Applications (incl. Internet).
Signal, Image and Speech Processing.
Tabla de Contenidos:
  • Chapter 1. Introduction- Ricardo Sanz , Carlos Hern´andez and Jaime G´omez
  • Chapter 2. Emergent feature sensitivity in a model of the auditory thalamocortical System- Martin Coath, Robert Mill, Susan Denham, and Thomas Wennekers
  • Chapter 3. STDP Pattern Onset Learning Depends on Background Activity Introduction 5- James Humble, Steve Furber, Susan Denham and Thomas Wennekers
  • Chapter 4. Emergence of small-world structure in networks of spiking neurons through STDP1 plasticity- Gleb Basalyga, Pablo M. Gleiser, and ThomasWennekers
  • Chapter 5. Coupling BCM and neural fields for the emergence of selforganization consensus— Mathieu Lefort and Yann Boniface and Bernard Girau
  • Chapter 6. Alpha and theta rhythm abnormality in Alzheimer’s Disease: a study using a computational model- Basabdatta Sen Bhattacharya, Damien Coyle and Liam P. Maguire
  • Chapter 7. Oscillatory Neural Network for Image Segmentation with Biased Competition for Attention- Tapani Raiko and Harri Valpola.-Chapter 8. Internal Simulation of Perceptions and Actions- Magnus Johnsson and David Gil
  • Chapter 9. Building Neurocognitive Networks with a Distributed Functional Architecture- Marmaduke Woodman, Dionysios Perdikis, Ajay S Pillai, Silke Dodel, Raoul Huys, Steven Bressler, and Viktor Jirsa
  • Chapter 10: Reverse Engineering for Biologically Inspired Cognitive Architectures: A Critical Analysis¬- Andreas Schierwagen
  • Chapter 11. Competition in high dimensional spaces using a sparse approximation of neural fields- Jean-Charles Quinton, Bernard Girau and Mathieu Lefort
  • Chapter 12. Informational Theories of Consciousness: A Review and Extension- Igor Aleksander and David Gamez
  • Chapter 13. Hippocampal Categories: a mathematical foundation for navigation and memory- Jaime G´omez and Ricardo Sanz
  • Chapter 14.The role of feedback in a hierarchical model of object perception- Salvador Dura-Bernal, Thomas Wennekers and Susan L. Denham
  • Chapter 15. Machine Free Will: Is Free Will a Necessary Ingredient of Machine Consciousness?- Riccardo Manzotti
  • Chapter 16. Natural Evolution of Neural Support Vector Machines- Magnus Jandel
  • Chapter 17. Self-Conscious Robotic System Design Process - from Analysis to Implementation- Antonio Chella and Massimo Cossentino and Valeria Seidita
  • Chapter 18. Simulating Visual Qualia in the CERA-CRANIUM Cognitive Architecture- Raúl Arrabales, Agapito Ledezma, and Araceli Sanchis
  • Chapter 19. The Ouroboros Model, Selected Facets- Knud Thomsen.

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