Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Jason Z. Kim"'
Publikováno v:
Communications Physics, Vol 5, Iss 1, Pp 1-5 (2022)
While gender disparities in the science, technology, engineering, and mathematics (STEM) disciplines are widely noted, the citation gap is still understudied and awareness remains low. Here, we address citation inequity in physics and describe indivi
Externí odkaz:
https://doaj.org/article/94d298d7745349c8b8a9f2a6bb8da535
Publikováno v:
Communications Physics, Vol 4, Iss 1, Pp 1-12 (2021)
A common problem in reconstructing weighted networks to represent real-world systems is that low-weight edges might appear due to noise, affecting the topology of the inferred network. Here, the authors propose a method based on persistent homology t
Externí odkaz:
https://doaj.org/article/aee7cd2648e549649747b3a17be0d7aa
Autor:
Pragya Srivastava, Erfan Nozari, Jason Z. Kim, Harang Ju, Dale Zhou, Cassiano Becker, Fabio Pasqualetti, George J. Pappas, Danielle S. Bassett
Publikováno v:
Network Neuroscience, Vol 4, Iss 4, Pp 1122-1159 (2020)
AbstractRecent advances in computational models of signal propagation and routing in the human brain have underscored the critical role of white-matter structure. A complementary approach has utilized the framework of network control theory to better
Externí odkaz:
https://doaj.org/article/ed13fdd0ee804ed6a09e4c9c718b13e7
Publikováno v:
Network Neuroscience, Vol 4, Iss 4, Pp 1091-1121 (2020)
AbstractThe human brain displays rich communication dynamics that are thought to be particularly well-reflected in its marked community structure. Yet, the precise relationship between community structure in structural brain networks and the communic
Externí odkaz:
https://doaj.org/article/5a4de234f5db4a9ebcb3af1576a224c7
Autor:
Arian Ashourvan, Sérgio Pequito, Maxwell Bertolero, Jason Z. Kim, Danielle S. Bassett, Brian Litt
Publikováno v:
PLoS ONE, Vol 17, Iss 9 (2022)
A fundamental challenge in neuroscience is to uncover the principles governing how the brain interacts with the external environment. However, assumptions about external stimuli fundamentally constrain current computational models. We show in silico
Externí odkaz:
https://doaj.org/article/f669028e602a4b08b8566811de2d4968
Publikováno v:
Physical Review X, Vol 12, Iss 1, p 011042 (2022)
From enzyme binding to robot grasping, the function of many mechanical systems depends upon large, coordinated motions of their components. Such motions arise from a network of physical interactions in the form of links (edges) that transmit forces b
Externí odkaz:
https://doaj.org/article/5bf0237525be4554877039cee266d348
Autor:
Mathieu Ouellet, Jason Z Kim, Harmange Guillaume, Sydney M Shaffer, Lee C Bassett, Dani S Bassett
Publikováno v:
New Journal of Physics, Vol 26, Iss 2, p 023006 (2024)
In interacting dynamical systems, specific local interaction rules for system components give rise to diverse and complex global dynamics. Long dynamical cycles are a key feature of many natural interacting systems, especially in biology. Examples of
Externí odkaz:
https://doaj.org/article/8a3599b7f62e4583996996273b209cfc
Autor:
Linden Parkes, Jason Z Kim, Jennifer Stiso, Monica E Calkins, Matthew Cieslak, Raquel E Gur, Ruben C Gur, Tyler M Moore, Mathieu Ouellet, David R Roalf, Russell T Shinohara, Daniel H Wolf, Theodore D Satterthwaite, Dani S Bassett
Publikováno v:
Science Advances. 8
Cortical variations in cytoarchitecture form a sensory-fugal axis that systematically shapes regional profiles of extrinsic connectivity. Additionally, this axis is thought to guide signal propagation and integration across the cortical hierarchy. Wh
Autor:
Xiaosong He, Lorenzo Caciagli, Linden Parkes, Jennifer Stiso, Teresa M. Karrer, Jason Z. Kim, Zhixin Lu, Tommaso Menara, Fabio Pasqualetti, Michael R. Sperling, Joseph I. Tracy, Dani S. Bassett
Publikováno v:
Science Advances. 8
Network control theory is increasingly used to profile the brain’s energy landscape via simulations of neural dynamics. This approach estimates the control energy required to simulate the activation of brain circuits based on structural connectome
Publikováno v:
Nature Machine Intelligence. 3:316-323
The ability to store and manipulate information is a hallmark of computational systems. Whereas computers are carefully engineered to represent and perform mathematical operations on structured data, neurobiological systems adapt to perform analogous