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The New York Academy of Science, USA
Posters & Accepted Abstracts: J Neurol Clin Neurosci
Statement of the Problem: Circular search patterns, encoding
information in atomic structures have been described. This
multidimensional scaling property of the atomic structure
has been derived by the Theory of Stochastic Resonance
Synergies. In this research, internal states of networked neural
system is compared by its interaction with the environment
via coupled information propagation.
Methodology&TheoreticalOrientation: Scaling multidimensional information with stochastic resonances gives in theory an answer to the emergence of periodic tables of the atomic elements. The clusters of information arranged by the nucleons derives a modeling approach to attention and memory, within a behavioral experiment. This modeling approach applied to the neuroimaging data is used as a basis for building a datamining analysis tool.
Findings: Initial findings have been reported. We have shown that the intensity-independent auditory distance feature detectors, along with the tonotopic map of the auditory cortex, result from the information flow in the brain.
Conclusion & Significance: We propose a genotype information flow processing in brain scans that do not directly apply temporal dynamics. Neuroimaging and dynamical brain maps source localization have shown potential in clinical applications that in can be used in diagnosis, analysis and monitoring, as well as treatment of disordered neural states.
E-mail: [email protected]