Modeling the Antipodal Connectivity Structure of Neural Communities

Recent studies support the theory of the brain being composed of modules and certain nodes establishing connections between the modules <span class="xref">[<a href="javascript:void(0);" orgid="R1">1</a>,<a href="javascript:void(0);" orgid=...

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Main Authors: Bayazit Karaman, R. Murat Demirer, Coskun Bayrak, M. Mert Su
Format: Article
Language:English
Published: AIMS Press 2016-05-01
Series:AIMS Neuroscience
Subjects:
EEG
PNT
Online Access:http://www.aimspress.com/neuroscience/article/762/fulltext.html
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spelling doaj-feadc2dbd2d44ee39913f402e2afe9b62020-11-25T01:13:39ZengAIMS PressAIMS Neuroscience2373-79722016-05-013216318010.3934/Neuroscience.2016.2.163Neurosci-03-00163Modeling the Antipodal Connectivity Structure of Neural CommunitiesBayazit Karaman0R. Murat Demirer1Coskun Bayrak2M. Mert Su3Computer Science Department, University of Arkansas at Little Rock, 2801 S University Ave, Little Rock, AR, USAIndustrial and System Engineering, Uskudar University, Istanbul, TURKEYComputer Science Department, University of Arkansas at Little Rock, 2801 S University Ave, Little Rock, AR, USAUniversity of Arkansas at Little Rock, 2801 S University Ave, Little Rock, AR, USARecent studies support the theory of the brain being composed of modules and certain nodes establishing connections between the modules <span class="xref">[<a href="javascript:void(0);" orgid="R1">1</a>,<a href="javascript:void(0);" orgid="R2">2</a>,<a href="javascript:void(0);" orgid="R3">3</a>]</span>. The existence of such connections can only be identified by conducting a detailed investigation with sophisticated tools. Therefore, in this manuscript we provide a new mathematical model to indicate the functional dependency, which supports the idea of information exchange between the neural modules at the highest spatial and hierarchical level of bottom-up processes using EEG (ElectroEncephaloGraphy) <span class="xref">[<a href="javascript:void(0);" orgid="R4">4</a>]</span>. The developed model is to study the functional dependencies between di erent regions of the cortex is based on the Borsuk-Ulam's antipodal symmetry theorem. It is a mathematical model complemented with an innovative algorithm, called Projection based on Normalized Transformation (PNT), to show the existence of unique neural activity pattern known as the Antipodal Connectivity. For validating of the model, EEG data collected from a total of 50 experiments with the participation of 18 di erent test subjects was used to measure the e ectiveness and accuracy of method. Using the data collected from the subjects in di erent stages (active or resting) of the brain, the Antipodal Hub Neurons (AHNs) were captured and compared to determine the ratio of fluctuation under di erent conditions and whether or not the stimulus has any role in antipodal neural connectivity. Although the preliminary results are not conclusive, we have successfully identified the existence of antipodal behavioral patterns in neural activities.http://www.aimspress.com/neuroscience/article/762/fulltext.htmlEEGAntipodal SymmetryBorsuk-Ulam TheoremAntipodal ConnectivityPNTAHNsNeural CommunitiesAntipodal Hub Neurons
collection DOAJ
language English
format Article
sources DOAJ
author Bayazit Karaman
R. Murat Demirer
Coskun Bayrak
M. Mert Su
spellingShingle Bayazit Karaman
R. Murat Demirer
Coskun Bayrak
M. Mert Su
Modeling the Antipodal Connectivity Structure of Neural Communities
AIMS Neuroscience
EEG
Antipodal Symmetry
Borsuk-Ulam Theorem
Antipodal Connectivity
PNT
AHNs
Neural Communities
Antipodal Hub Neurons
author_facet Bayazit Karaman
R. Murat Demirer
Coskun Bayrak
M. Mert Su
author_sort Bayazit Karaman
title Modeling the Antipodal Connectivity Structure of Neural Communities
title_short Modeling the Antipodal Connectivity Structure of Neural Communities
title_full Modeling the Antipodal Connectivity Structure of Neural Communities
title_fullStr Modeling the Antipodal Connectivity Structure of Neural Communities
title_full_unstemmed Modeling the Antipodal Connectivity Structure of Neural Communities
title_sort modeling the antipodal connectivity structure of neural communities
publisher AIMS Press
series AIMS Neuroscience
issn 2373-7972
publishDate 2016-05-01
description Recent studies support the theory of the brain being composed of modules and certain nodes establishing connections between the modules <span class="xref">[<a href="javascript:void(0);" orgid="R1">1</a>,<a href="javascript:void(0);" orgid="R2">2</a>,<a href="javascript:void(0);" orgid="R3">3</a>]</span>. The existence of such connections can only be identified by conducting a detailed investigation with sophisticated tools. Therefore, in this manuscript we provide a new mathematical model to indicate the functional dependency, which supports the idea of information exchange between the neural modules at the highest spatial and hierarchical level of bottom-up processes using EEG (ElectroEncephaloGraphy) <span class="xref">[<a href="javascript:void(0);" orgid="R4">4</a>]</span>. The developed model is to study the functional dependencies between di erent regions of the cortex is based on the Borsuk-Ulam's antipodal symmetry theorem. It is a mathematical model complemented with an innovative algorithm, called Projection based on Normalized Transformation (PNT), to show the existence of unique neural activity pattern known as the Antipodal Connectivity. For validating of the model, EEG data collected from a total of 50 experiments with the participation of 18 di erent test subjects was used to measure the e ectiveness and accuracy of method. Using the data collected from the subjects in di erent stages (active or resting) of the brain, the Antipodal Hub Neurons (AHNs) were captured and compared to determine the ratio of fluctuation under di erent conditions and whether or not the stimulus has any role in antipodal neural connectivity. Although the preliminary results are not conclusive, we have successfully identified the existence of antipodal behavioral patterns in neural activities.
topic EEG
Antipodal Symmetry
Borsuk-Ulam Theorem
Antipodal Connectivity
PNT
AHNs
Neural Communities
Antipodal Hub Neurons
url http://www.aimspress.com/neuroscience/article/762/fulltext.html
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