Format:
Online-Ressource
ISBN:
9781461401643
Series Statement:
Advances in Experimental Medicine and Biology 718
Content:
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 engineering methods to build artificial systems with higher levels of cognitive competence. BICS is a meeting point of brain scientists and cognitive systems engineers where cross-domain ideas are fostered in the hope of getting emerging insights on the nature, operation and extractable capabilities of brain
Note:
Includes bibliographical references and index
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From Brains to Systems; Preface; Acknowledgements; Contents; Contributors; Chapter 1: Introduction; 1.1 Introduction; 1.2 Going From Brains to Machines; 1.3 Book Contents; 1.4 Value and Perspectives; References; Chapter 2: Emergent Feature Sensitivity in a Model of the Auditory Thalamocortical System; 2.1 Introduction; 2.2 Methods; 2.3 Results; 2.4 Discussion; References; Chapter 3: STDP Pattern Onset Learning Depends on Background Activity; 3.1 Introduction; 3.2 Methods; 3.3 Results; 3.4 Discussion; References
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Chapter 4: Emergence of Small-World Structure in Networks of Spiking Neurons Through STDP Plasticity4.1 Introduction; 4.2 Model; 4.3 Results; 4.4 Discussion; References; Chapter 5: Coupling BCM and Neural Fields for the Emergence of Self-organization Consensus; 5.1 Introduction; 5.2 General Description of the Model; 5.3 Emerging Perception Within Neural Maps; 5.4 Modality Map; 5.5 BCM Learning Rule; 5.6 BCM Feedback Modulation; 5.7 Modality Association; 5.8 Experiments; 5.9 Conclusion; References
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Chapter 6: Alpha and Theta Rhythm Abnormality in Alzheimer's Disease: A Study Using a Computational Model6.1 Introduction; 6.2 Neural Mass Modelling of the Thalamocortical Circuitry; 6.3 Empirical Methods and Results; 6.4 Discussion; 6.5 Conclusion and Future Work; References; Chapter 7: Oscillatory Neural Network for Image Segmentation with Biased Competition for Attention; 7.1 Introduction; 7.2 Background; 7.3 Design for Emergence; 7.4 Implementation; 7.5 Experiments in Image Segmentation; 7.6 Conclusion and Discussion; References; Chapter 8: Internal Simulation of Perceptions and Actions
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8.1 Introduction8.2 Architectures; 8.3 Simulations; 8.4 Discussion; References; Chapter 9: Building Neurocognitive Networks with a Distributed Functional Architecture; 9.1 Introduction; 9.2 Structured Flows on Manifolds; 9.3 Distributed Functional Dynamics; 9.4 Functional Architectures; 9.5 Discussion; References; Chapter 10: Reverse Engineering for Biologically Inspired Cognitive Architectures: A Critical Analysis; 10.1 Introduction; 10.2 Conceptual Foundations of Cognitive and Brain Sciences; 10.3 Decompositional Analysis, Localization and Reverse Engineering
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10.4 Complex Systems and Modularization10.5 Reverse Engineering the Brain and Neurocomputing; 10.6 Complex Systems and Rosen's Modeling Relation; 10.7 Conclusions; References; Chapter 11: Competition in High Dimensional Spaces Using a Sparse Approximation of Neural Fields; 11.1 Introduction; 11.2 Model; 11.3 Evaluation; 11.4 Discussion; References; Chapter 12: Informational Theories of Consciousness: A Review and Extension; 12.1 Introduction; 12.2 Previous Work; 12.3 Some Finite-State Discrete Automata Principles; 12.4 SpikeStream Analysis Software; 12.5 Examples; 12.6 Future Work
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12.7 Conclusions
Additional Edition:
ISBN 9781461401636
Additional Edition:
Buchausg. u.d.T. ISBN 978-1-461-40163-6
Language:
English
DOI:
10.1007/978-1-4614-0164-3
URL:
Volltext
(lizenzpflichtig)
