From Brains to Systems Brain-Inspired Cognitive Systems 2010 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Hernández, Carlos (Επιμελητής έκδοσης), Sanz, Ricardo (Επιμελητής έκδοσης), Gómez-Ramirez, Jaime (Επιμελητής έκδοσης), Smith, Leslie S. (Επιμελητής έκδοσης), Hussain, Amir (Επιμελητής έκδοσης), Chella, Antonio (Επιμελητής έκδοσης), Aleksander, Igor (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2011.
• Σειρά: Advances in Experimental Medicine and Biology, 718
• Θέματα: Medicine.; Neurosciences.; Computers.; Artificial intelligence.; Biomedicine.; Computation by Abstract Devices.; Artificial Intelligence (incl. Robotics).; Information Systems Applications (incl. Internet).; Signal, Image and Speech Processing.

Brain Inspired Cognitive Systems - BICS 2010 aims to bring together leading scientists and engineers who use analytic and synthetic methods both to understand the astonishing processing properties of biological systems and specifically of the brain, and to exploit such knowledge to advance engineeri...

Πίνακας περιεχομένων:

• 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.