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3

rd

International Conference on

Health Care and

Health Management

Joint Event

&

November 04-05, 2019 | Prague, Czech Republic

6

th

International Conference on

Neuroscience and

Neurological Disorders

Journal of Neurology and Clinical Neuroscience | Volume 3

Attention, memories, and behavioral data-driven study

Milan Jovovic

The New York Academy of Science, USA

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

:

jovovic.milan@gmail.com