Basic theories for neuroinformatics and neurocomputing

@article{Wang2013BasicTF,
  title={Basic theories for neuroinformatics and neurocomputing},
  author={Yingxu Wang},
  journal={2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing},
  year={2013},
  pages={3-4}
}
  • Yingxu Wang
  • Published 16 July 2013
  • Computer Science
  • 2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing
Summary form only given. A fundamental challenge for almost all scientific disciplines is to explain how natural intelligence is generated by physiological organs and what the logical model of the brain is beyond its neural architectures. According to cognitive informatics and abstract intelligence, the exploration of the brain is a complicated recursive problem where contemporary denotational mathematics is needed to efficiently deal with it. Cognitive psychology and medical science were used… 
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References

SHOWING 1-10 OF 29 REFERENCES
Cognitive informatics models of the brain
  • Yingxu Wang, Ying Wang
  • IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
  • 2006
The human brain is the most complicated organ in the universe and a new frontier yet to be explored by an interdisciplinary approach. This paper attempts to develop logical and cognitive models of
Cognitive Informatics: A New Transdisciplinary Research Field
TLDR
Cognitive informatics is perceived as a new frontier that explores the internal information processing mechanisms of the brain, and their engineering applications in computing and the information technology industry.
The Theoretical Framework of Cognitive Informatics
  • Yingxu Wang
  • Computer Science
    Int. J. Cogn. Informatics Nat. Intell.
  • 2007
TLDR
Three types of new structures of mathematics, Concept Algebra (CA), Real-Time Process Algebra and System Algebra, are created to enable rigorous treatment of cognitive processes of the brain as well as knowledge representation and manipulation in a formal and coherent framework.
A Doctrine of Cognitive Informatics (CI)
TLDR
This paper reviews the central doctrine of cognitive informatics and its applications, and a set of theories and formal models of CI is presented in order to explore the natural and computational intelligence.
A layered reference model of the brain (LRMB)
  • Yingxu Wang, Ying Wang, Shushma Patel, D. Patel
  • Computer Science, Psychology
    IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
  • 2006
TLDR
This paper attempts to develop a layered reference model of the brain (LRMB) that formally and rigorously explains the functional mechanisms and CPs of natural intelligence.
On cognitive informatics
  • Yingxu Wang
  • Computer Science
    Proceedings First IEEE International Conference on Cognitive Informatics
  • 2002
TLDR
It is expected that the investigation into cognitive informatics will result in fundamental findings towards the development of next generation IT and software technologies, such as neural computers, bioinformatics, quantum information processing, new software development approaches, and new architectures of information systems.
On Abstract Intelligence: Toward a Unifying Theory of Natural, Artificial, Machinable, and Computational Intelligence
  • Yingxu Wang
  • Computer Science
    Int. J. Softw. Sci. Comput. Intell.
  • 2009
TLDR
The taxonomy and nature of intelligence is described, which analyzes roles of information in the evolution of human intelligence, and the needs for logical abstraction in modeling the brain and natural intelligence.
Contemporary Cybernetics and Its Facets of Cognitive Informatics and Computational Intelligence
This paper explores the architecture, theoretical foundations, and paradigms of contemporary cybernetics from perspectives of cognitive informatics (CI) and computational intelligence. The modern
Inference Algebra (IA): A Denotational Mathematics for Cognitive Computing and Machine Reasoning (I)
  • Yingxu Wang
  • Computer Science
    Int. J. Cogn. Informatics Nat. Intell.
  • 2011
TLDR
A novel denotational mathematical means for formal inferences known as Inference Algebra IA is presented, structured as a set of algebraic operators on aSet of formal causations.
On Contemporary Denotational Mathematics for Computational Intelligence
TLDR
The domain and architecture of denotational mathematics are presented and a set of case studies is presented on themodeling of iterative and recursive systems architectures and behaviors by Real-Time Process Algebra (RTPA), modeling of autonomic machine learning by concept algebra, and the modeling of granular computing by system algebra.
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1
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