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Demonstration of topology.

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OpenMoon

762,257 subscribers

19,028,727 Aufrufe • vor 2 Jahren •via X (Twitter)

Wissenschaft & Technologie
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8 Kommentare

Profilbild von Aamina
Aaminavor 2 Jahren

My brain is not braining

Profilbild von osimhen
osimhenvor 2 Jahren

🫶🏻🫶🏻

Profilbild von Boom
Boomvor 2 Jahren

I can watch this a million times and still don’t understand

Profilbild von BladudX
BladudXvor 2 Jahren

who is gonna tie you like this 😂

Profilbild von osimhen
osimhenvor 2 Jahren

😠😠

Profilbild von 𝓖 𝕸𝕺𝕹𝕰𝖄
𝓖 𝕸𝕺𝕹𝕰𝖄vor 2 Jahren

I’ll never understand how the first one work 😭

Profilbild von MediCreations
MediCreationsvor 2 Jahren

i first read this concept in DNA topology

Profilbild von eduarda
eduardavor 2 Jahren

em todas essas hipóteses eu cortaria o cabo

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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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