This blog post explores ideas like visualization, imagination, intelligence, and the purposes of thought.
I enjoyed the TEDx video. I would substitute the word “movement” with “behavior” though. Although speech, emotive expressions, and other ways of communicating still involve motion and movement, I prefer the subbing with “behavior” to include communication–verbal and nonverbal.
powerful quote: “Visualization allows us to engage a complete sensory experience without performing the action itself. The powerful nature of visualization has been exploited by professional athletics such as gymnastics to visual complex movement maneuvers.”
Play quote: “The reason play is so effective as a learning mechanism is because the concept of mistakes are nonexistent. This is the biggest reason why children are able to learn at rates far more rapid than adults. ”
There are implications for self-development and self-awareness. Ultimately, there may be things to learn about creativity and learning, but some of the conclusions in the blog don’t completely jibe with mine. I haven’t a Ph.d in Neuroscience though, so maybe it’s a matter of learning I have yet to do.
What is movement? Where does it come from?
Human movement patterns include but are not exclusive to – running, jumping, swimming, crawling, rolling, pulling, lifting, twisting, inverting and climbing.
In this blog post I will reverse engineer movement and trace it back to its neural origins. I will explore movement efficiency, body intelligence, visualization, play and the integration of these elements.
In neuroscience, movement is often studied in terms of either motor disorders or the development of artificial intelligence for robotic or prosthetics. However, according to a leading neuroscientist at the University of Cambridge, the real reason for the complex development of our brain is to generate movement itself.
Most of our movement is essentially hardwired and we end up moving in stereotypic patterns. However, beneath the surface of mundane, everyday movement, a well refined network of neurons are working at a technologically unmatched precision. For example, the simple act…
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