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Milan Jovovic
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: jovovic.milan@gmail.com
+44 73620 49920
