Jan Kuyper Erland
How Images and Sound Patterns Can
Affect Us
Images can either speak through metaphors, or a facial image can produce
speaking sounds, easily imitated through generated digitals. Yet, imitations rarely match the original,
either real or digital, because of the depth of energy each produces and
reveals. The Dutch artist, Holbein, in 1522, applied rhetorical, images that
appeared to speak through symbolism that now rein in art museum settings today.[1]
Images can be profound, speak through
symbolism, or reality, creating many varied emotional reactions and
interpretations.
In our digital age, we race daily,
pulled drawn through hundreds of fast visual clips, not thinking about its
abstract symbolism. But it is there,
affecting us one way or another, as it is the core of advertising and film
images constantly penetrating us. [2]
Films utilize fast, two second action snippets. Our minds race to keep up, and
absorb, but overwhelmed, we look at a collage of movement. These combined
facial and sound images penetrate our minds more than we believe. [3]
Subsequently, we may find ourselves immersed, in a dulled, tranced
state. Subsequently, that is why we like outdoor activities with dimensional images
and sounds like parades with balloons and marching bands, or football games’
image and play actions. We are deeply mired on a “look, see, respond-react”
holistic mode, rather than a “sequential, systematic, procedural, step-by-step style”
applying multi-modal sense inter-play.
Let’s consider how images and sounds can offer beneficial
tools to direct us into a productive, procedural, mindset to meet new technological
demands.
In my recent blog publication update,[4]
I verified importance of sequential details as they interplay [5]
with working memory for creating accurate procedures. And, why step by step visual
and listening details must not only integrate, [6]
but bridge for accurate procedures found in all academics, as linguistics,
coding, reading, mathematics. Unfortunately, tools are often too quickly
determined, then applied without careful applications, or with ongoing
evaluations to determine potential decay.
We All Can Take Steps Forward for Positive Change, at Any
Age
No one wants to admit, let alone
reveal, their cognitive shortcomings, or if they even have them. Most of us are not aware that we have our
own, unique cognitive profile, of strengths and weaknesses. Although it can
vary somewhat routinely, our profile does have solid indicating parameters, as
to how efficiently we processing incoming information.
As a result, our unique profiles remain
hidden, to a person’s great disadvantage. In the “Sequenced Details” blog, I stressed that we all need
to be aware of our cognitive abilities, at least roughly, early on. However,
some specific cognitive skill assessments may require specific measures,
given by qualified professionals.
Skip, or overlook, the inquiry process, and we take chances.
Unaware of this essential procedural learning investment, you
could spend years entering and being in the wrong career-choice, dissatisfied
-- demanding change, but not knowing exactly what change you want and need.
As a learning disability teacher, clinical researcher-specialist,
and parent of three, I had a continuous learning quest for a solution to make
learning procedures easier not only for my students, but my own family members.
Inquiringly, being heavily involved in rigorous university diagnostic and
evaluative instruction at the University of Kansas Medical Center in Kansas
City, I assessed not only my own family, but also, myself. The great Swiss
cognitive psychologist, Jean Piaget, routinely used his own family members as research
subjects.
Soon, many others followed suit, at a variety of age,
ability, and demographic levels, wanting to take part in a low- cost research
project. All sought change, and hopefully would reach higher potential levels.
The objective was to find an easier way to rapidly learn, retain, and manage
complex procedural information, and function at higher potential levels than
they thought were even possible.
Although my work has been
published repeatedly by a juried journal [7],
evaluated by several independent research teams, with data followed
longitudinally,[8] research
designs may be questioned as designed with a biased framework, creating false
positives. [9] Only
longitudinal data trends, both experimental and criterion, will confirm any
research findings. [10]
Early, Golden Age, Wooden Identity Images, Become Star
Role Models
Multi-Dimensional puppetry face and sound bites can offer the
answer with daily, a-few minutes- system, because they are calming yet
stimulating. Through invigorating, focused engagement, you can find a valuable
tool for continued personal, cognitive growth.
You then ask, “what if these characters remind me of scary
ones I have seen earlier, or listened to, on horror podcasts?”
A well-documented, data-based, learning system has accepted the
cubic facial, puppetry image action through solid stage, film, and technical-data,
recorded history.
Fleeting, animated, or cloth images are another possibility to attract your attention. You might respond, “If instant, fast-moving, quick, images are the popular norm, both in reality and online, why would I want to engage in a system with different type of images that I am not used to seeing?” “And, would this unique alternating, interlinked visual and sound action, actually create credible cognitive change? “
A Tried-and-True Tool: Multi-Dimensional,
Cubic, Sound Image Action
Our overall acceptance of any
facial and sound copy is determined by the length of time they have been
initially created, and then monitored by continual, documented, confirmations. You
might like to enhance your procedural capability rapidly, with reliable visual
and sound images.
Data Engineering, and Data Science Coupled with Choral Speaking, Linguistic Performance
It is unusual for a program developer, with a variety of highly
developed talents, who engaged and trained a novice film-maker from scratch, who
then created a viable working memory, solution by applying unique images and
sounds.
Remarkably,
I designed visual-auditory perceptual-coding exercises that were difficult for
me, tailored to improve not only my own language shortcomings,[11]
but prove a viable training entity for others.
To
my great surprise, I would ultimately become the most valuable research subject
of all. I found I could internally monitor my own cognitive weaknesses through
daily observations, as I instructed with the comic puppets with rotating facial
and frequency changes. And, I improved greatly. much to my happiness and relief.
Subsequently,
I monitored the experimental working model progress, both internally and
externally. [12]
Internalized, mental processing relies on serial activity through Deep
Learning Transfer. Experimental and criterion referenced measurements were
critically applied and carefully monitored, with a variety of populations and
data groups. As to be expected, outcomes (although most having positive effect
sizes) varied according to individual circumstances. This ongoing development of
pre-tuning and fine-tuning in metrics algorithms, of image and sound frequency
models, created mental transfer that was continually measured over time. [13]
Only you can determine whether you want to maintain charge of your
life, expand, try new growth vistas, or remain the same. And, take your chances
of giving that control to someone else to decide your future.
A necessary image and sound working memory solution, The Bridge
to Achievement,[14]
™ focuses on multiple word-diction, sound patterning, procedural learning,
practice. Its’ training application is close to independent, team trials for 5th
generation digital, film data monitoring.
Each
of us has hidden potential that can expand our horizons, provided that you have
the desire and willingness to explore and find it. Next blog: How and why it
took two decades of a photographer search and continuing experimental film trials,
to complete the necessary film work as applied research, for online personal upskill
learning.
[1] Dobrzynski,
J. H. (November 2021). “Portraits peopled with symbols”. Wall Street Journal,
Arts in Review. A15.
[2] Trafton,
A. (November 15, 2021) “A key brain region responds to faces similarly in
infants and adults.” MIT Center Brains, Minds, and Machines news release.
Cambridge, MA
[3]
H. L. KosakowskiCohen, M. A.Takahashi, A.Keil, B.Kanwisher, N.Saxe, R., (2021). “Selective responses to faces,
scenes, and bodies in the ventral visual pathway of infants”, Current Biology, vol. 32, 1.
[4] Erland.
J. K. (November 11, 2021).” Sequenced Details: Working Memory Expansion”. Jan’s
Brainy Insight. Blogger.com.
[5] Rumelhart,
D. E. McClelland, J. L. (1986). Parallel distributed processing:
Explorations in the micro structure of cognition. Cambridge, MA: MIT Press.
[6] McClelland, J.
L. Emergence in Cognitive Science. (September 2010). https://doi.org/10.1111/j.1756-8765.2010.01116.
Topics in Cognitive Science 2 (2010) 751–770 Copyright 2010 Cognitive Science
Society, Inc. All rights reserved. ISSN: 1756-8757 print / 1756-8765 online DOI:
10.1111/j.1756-8765.2010.01116.x
[8] Erland,
J. K. (Fall 2000). Brain-Based Longitudinal Study Reveals Subsequent High
Academic Achievement Gain for Low-Achieving, Low Cognitive Skills, Fourth Grade
Students. Journal of Accelerated Learning and Teaching. 25,
(3&4) pp.5-48. ERIC ED # 453-553. & # CS 510 558. https://Books.Google.com/jankuypererland
page 41.
[9]
Ioannidis, John P.A. (August 2005). Essay: Why Most Published Research Findings
Are False. PLoS Medicine. 2, 8, e124.
[10] Erland,
J. K. (2014). https://memexspan.com/outcomes.
And, https://memexspan.com/en/case-studies/initial-cohort
Mem-ExSpan, Inc. Lawrence, KS.
[11] Catts,
H.W., & Kamhi, A. G. (1986). The Linguistic Basis of Reading Disorders/
Language Speech and Hearing Services in Schools. 17 (4), 329. https://doi.org/10.1044/0161-1461.1704.329
[12] Erland,
J. K. (Spring 1999). Brain-Based Learning Longitudinal Study Reveals Sold
Academic Achievement Maintenance with Accelerated Learning Practice. Journal
of Accelerated Learning and Teaching. 24, (1&2). pp. 1-33. (This
journal closed in 2008) ERIC ED #436-962.
[13] Oriel,
Astha. (September 18, 2020), Unraveling Deep Learning Algorithms with Limited
Data. Insight News. https://www.Analyiticsinsight.net.
[14] Erland,
J. K. (2021, 1994, 1991, 1086, 1985, 1981). The Bridge to Achievement Cognitive
Training System. https://memexspan.com and https://memspan.com Lawrence, Kansas. Mem-ExSpan,
Inc.
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