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Principle of topology.

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Science girl

3,925,891 subscribers

920,289 Aufrufe • vor 1 Jahr •via X (Twitter)

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8 Kommentare

Profilbild von Wolf
Wolfvor 1 Jahr

Such a cool principle 😳

Profilbild von Jen-X
Jen-Xvor 1 Jahr

That’s way to confusing for the amount of weed I’ve smoked before bedtime 😂😵😮‍💨💨

Profilbild von Arthur Rumrill
Arthur Rumrillvor 1 Jahr

My caveman brain can’t understand this

Profilbild von Swapnil Walunj🇮🇳
Swapnil Walunj🇮🇳vor 1 Jahr

I have no idea what is happening in here.

Profilbild von Lingo.dev
Lingo.devvor 1 Jahr

Amazing 🤩

Profilbild von Ali
Alivor 1 Jahr

Amazing

Profilbild von Baby
Babyvor 1 Jahr

crazy town.

Profilbild von AI 42 IQ
AI 42 IQvor 1 Jahr

"The whole is more than the sum of its parts." - Aristotle

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The theory of higher order topological dynamics, which combines multilevel interactions between discrete topology and nonlinear dynamics, has the potential to enhance our understanding of complex systems such as the functions of the nervous system, the development of next-generation machine learning and the creation of advanced nodal processing algorithms. An important and unexpected collective behavior of signal processing in multilevel nodal networks has been observed to lead to a synchronization and diffusion of the irrotational and the solenoidal components of the systems revealing a deep relation of these mechanisms with the complexity of discrete topology. The perspective of the preliminary study linked here offers insights into how topology morphs dynamics, how dynamics stem from topology and how topology evolves dynamically. 🔗
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The theory of higher order topological dynamics, which combines multilevel interactions between discrete topology and nonlinear dynamics, has the potential to enhance our understanding of complex systems such as the functions of the nervous system, the development of next-generation machine learning and the creation of advanced nodal processing algorithms. An important and unexpected collective behavior of signal processing in multilevel nodal networks has been observed to lead to a synchronization and diffusion of the irrotational and the solenoidal components of the systems revealing a deep relation of these mechanisms with the complexity of discrete topology. The perspective of the preliminary study linked here offers insights into how topology morphs dynamics, how dynamics stem from topology and how topology evolves dynamically. 🔗

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