http://www.biophysics.org/2017berlin/Home/tabid/7036/Default.aspx
Conformational Ensembles from Experimental Data and Computer Simulations
Berlin, Germany | Augst 25-29, 2017
Conformational Ensembles from Experimental Data and Computer Simulations
Berlin, Germany | Augst 25-29, 2017
⭕️ Dear All
We have organized a talk by Daniel Bonn on "#Friction", Thursday, tomorrow, 23rd Feb 2017. Room 412, Physics Department, Sharif University of Technology.
Due to short notice by Daniel this was done on a Thursday.
Everyone is welcomed, and please advertise to those interested.
Regards
Shahin Rouhani
Sharif University of Technology and IPM
🔹 14.00- 15.00 room 412 Thursday
Tel : +98 21-66 16 45 06
Tel : +98 21-66 00 54 10
Fax : +98 21-66 02 27 11
We have organized a talk by Daniel Bonn on "#Friction", Thursday, tomorrow, 23rd Feb 2017. Room 412, Physics Department, Sharif University of Technology.
Due to short notice by Daniel this was done on a Thursday.
Everyone is welcomed, and please advertise to those interested.
Regards
Shahin Rouhani
Sharif University of Technology and IPM
🔹 14.00- 15.00 room 412 Thursday
Tel : +98 21-66 16 45 06
Tel : +98 21-66 00 54 10
Fax : +98 21-66 02 27 11
The first ever Network #Neuroscience Satellite! Apply soon:
🔗 http://www.complexity.es/netsci2017brain
🔗 http://www.complexity.es/netsci2017brain
🔹 The Amazing, Autotuning Sandpile
A simple mathematical model of a sandpile shows remarkably complex behavior.
BY JORDAN ELLENBERG
🔗 http://nautil.us/issue/23/Dominoes/the-amazing-autotuning-sandpile
A simple mathematical model of a sandpile shows remarkably complex behavior.
BY JORDAN ELLENBERG
🔗 http://nautil.us/issue/23/Dominoes/the-amazing-autotuning-sandpile
Nautilus
The Amazing, Autotuning Sandpile
Remember domino theory? One country going Communist was supposed to topple the next, and then the next, and the next. The metaphor…
💲 http://pnas.org/content/113/36/10031.abstract
DebtRank as a fine example of the importance of networks & complexity in finance!
DebtRank as a fine example of the importance of networks & complexity in finance!
Proceedings of the National Academy of Sciences
The price of complexity in financial networks
National Academy of Sciences
🖥 A visualization of the Hopf fibration
http://nilesjohnson.net/hopf.html?platform=hootsuite
http://nilesjohnson.net/hopf.html?platform=hootsuite
Forwarded from Deleted Account [SCAM]
Media is too big
VIEW IN TELEGRAM
Hopf fibration -- fibers and base
🗞 Network neuroscience
Danielle S Bassett & Olaf Sporns
🔗 http://www.nature.com/neuro/journal/v20/n3/full/nn.4502.html
📌 ABSTRACT
Despite substantial recent progress, our understanding of the principles and mechanisms underlying complex brain function and cognition remains incomplete. Network neuroscience proposes to tackle these enduring challenges. Approaching brain structure and function from an explicitly integrative perspective, network neuroscience pursues new ways to map, record, analyze and model the elements and interactions of neurobiological systems. Two parallel trends drive the approach: the availability of new empirical tools to create comprehensive maps and record dynamic patterns among molecules, neurons, #brain areas and social systems; and the theoretical framework and computational tools of modern network science. The convergence of empirical and computational advances opens new frontiers of scientific inquiry, including network dynamics, manipulation and control of brain networks, and integration of network processes across spatiotemporal domains. We #review emerging trends in #network #neuroscience and attempt to chart a path toward a better understanding of the brain as a multiscale networked system.
Danielle S Bassett & Olaf Sporns
🔗 http://www.nature.com/neuro/journal/v20/n3/full/nn.4502.html
📌 ABSTRACT
Despite substantial recent progress, our understanding of the principles and mechanisms underlying complex brain function and cognition remains incomplete. Network neuroscience proposes to tackle these enduring challenges. Approaching brain structure and function from an explicitly integrative perspective, network neuroscience pursues new ways to map, record, analyze and model the elements and interactions of neurobiological systems. Two parallel trends drive the approach: the availability of new empirical tools to create comprehensive maps and record dynamic patterns among molecules, neurons, #brain areas and social systems; and the theoretical framework and computational tools of modern network science. The convergence of empirical and computational advances opens new frontiers of scientific inquiry, including network dynamics, manipulation and control of brain networks, and integration of network processes across spatiotemporal domains. We #review emerging trends in #network #neuroscience and attempt to chart a path toward a better understanding of the brain as a multiscale networked system.
#سمینارهای_هفتگی گروه سیستمهای پیچیده و علم شبکه دانشگاه شهید بهشتی
🔹دوشنبه، ۹ اسفندماه، ساعت ۴/۵ - کلاس ۴ دانشکده فیزیک دانشگاه شهید بهشتی
@carimi
🔹دوشنبه، ۹ اسفندماه، ساعت ۴/۵ - کلاس ۴ دانشکده فیزیک دانشگاه شهید بهشتی
@carimi
Complex Systems Studies
#سمینارهای_هفتگی گروه سیستمهای پیچیده و علم شبکه دانشگاه شهید بهشتی 🔹دوشنبه، ۹ اسفندماه، ساعت ۴/۵ - کلاس ۴ دانشکده فیزیک دانشگاه شهید بهشتی @carimi
“Phase Transition in Dynamic Networks”
- Fereshteh Rabbani, Physics Ph.D. candidate at SBU
Abstract
There is a long-standing belief that in signed networks with simultaneous friendly/hostile interactions there is a general tendency to a global balance. Although Balance represents a state of the network with a lack of contentious situations, real networks have always tensions. Contrary to the impression, networks transition from unbalanced and tension state to a steady state is not smooth, it’s involved abrupt change.
Since the emergence of balance occurs in zero temperature, in this work, we implemented simple dynamical rules for updating links in imbalanced triads and present an analytic mean-field solution which is exact in the limit of large network size. Previous simulations of balanced dynamics have a long history that dates back to the Antal model. Here, we present a new link-based model for the evolution of network as a function of temperature. With this dynamics, a fully connected network undergoes a first order phase transition from an unbalanced state to stability. Our solution shows that; a network falls into balanced or unbalanced absorbing state according to the initial state.
🔹Feel free to contact us: @carimi
- Fereshteh Rabbani, Physics Ph.D. candidate at SBU
Abstract
There is a long-standing belief that in signed networks with simultaneous friendly/hostile interactions there is a general tendency to a global balance. Although Balance represents a state of the network with a lack of contentious situations, real networks have always tensions. Contrary to the impression, networks transition from unbalanced and tension state to a steady state is not smooth, it’s involved abrupt change.
Since the emergence of balance occurs in zero temperature, in this work, we implemented simple dynamical rules for updating links in imbalanced triads and present an analytic mean-field solution which is exact in the limit of large network size. Previous simulations of balanced dynamics have a long history that dates back to the Antal model. Here, we present a new link-based model for the evolution of network as a function of temperature. With this dynamics, a fully connected network undergoes a first order phase transition from an unbalanced state to stability. Our solution shows that; a network falls into balanced or unbalanced absorbing state according to the initial state.
🔹Feel free to contact us: @carimi
⭕️ 3 PhD grants at Aix-Marseille/Avignon on Language, Communication and the Brain
http://www.blri.fr/phd-programs.html
http://www.blri.fr/phd-programs.html