[CogSci] Cognitive Signal Processing

Sergey Stepanov stepanovmusicreflection at gmail.com
Mon Nov 16 22:04:21 PST 2020


<https://about.me/stepanovsergey?promo=email_sig&utm_source=product&utm_medium=email_sig&utm_campaign=edit_panel&utm_content=thumb>
*International
Exchange Programmes *
Stepanov Sergey

Pattern Recognition Flexibility
   The future of effective learning is combined with pattern recognition
technology.It is known that difficulties in perception of any information,
including musical one, cause strain of the main functional systems in the
child’s body. Statistics and practice show , the period of learning  with
using of the generally accepted music grammar is pulled for several
years. At early stage of learning upto thirty percent of children lose
their interest to the music subject and leave study. This situation is
explained by the excessive load arising at the first contact of the child
with a complex format to learn a piano.
   In order to protect the health of parents and children , in response to
COVID -19 , we propose to replace face-to-face music training with remote
music learning. We would like to share a technological resource that can
both reduce the risk of severe disease and simplify the methods of initial
music training.

   Numeric Cognition

3345. 5432. 1123. 3020. 3345. 5432. 1123. 2010. Ode to Joy Ludvig
van Bethoven

3330. 3330. 3512. 3000. 4444. 4333. 3223. 2050. 3330. 3330. 3512. 3000.
4444.4333. 3554. 2010. Jingle Bells

   Formatted lessons give a positive result regardless of the platform both
interactive and online lessons.The above should not be understood as a
rejection of generally accepted music teaching in the classrooms but to
protect the health of children and adolescents, online learning technology
will be effective and successful.
   The Project "Reflection " is aimed at studying the somatosensory
integration of nerve signals in the main functional systems of the child’s
organism : the central nervous system, auditory ,muscular , visual , using
electrophysiology measurement techniques - ENG, EMG,EEG, Audiometry.
   Method EEG allows to research the difference of the integrated synaptic
signals , to make the comparative diagrams of dynamics of initiated spikes
while perception music metric and digital patterns, plus the time of
fatigue of synaptic structures and cells - neurons of cortex is determined .
   Method ENG - EMG completes one another, joints the visual analyzer with
the neuro-motorfunction of fingers and proves , from scientific point of
view , the development of muscular fatigue in hands depending on the
quantity of eyeballs’ fluctuations.
   Method Audiometry allows to research the increment of sensitivity to the
functional sounds ( pure-tone ,high - low pitched,brain waves, beta range)
plus the behavioral audiometry.
   Kids in modern world should receive the most effective teaching
technologies.


 https://lnkd.in/dDitw8h


NeuromusicLab Reflection Ukraine

P.S.
   We are looking for an investor who can support the research . Could You
direct us to the right person or company which are in better position to
react to the Project " Reflection " ?
     Thank You very much
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