#سلسله_سمینارهای_هفتگی گروه سیستم های پیچیده شهید بهشتی
«مدل Percolation در شبکه های واقعی جلسه ی دوم»
پوریا ترنج، دانشجوی ارشد سیستم های پیچیده، دانشگاه شهیدبهشتی
یکشنبه 24 مرداد، ساعت 13:30عصر
کلاس 1 دانشکده فیزیک
حضور در این جلسات برای همه ی فعالان و علاقمندان آزاد است.
ضمنا علاقه مندان می توانند برای ارائه موضوعات خود به ادمین پیام داده و یا در جلسه بصورت حضوری مطرح نمایند.
«مدل Percolation در شبکه های واقعی جلسه ی دوم»
پوریا ترنج، دانشجوی ارشد سیستم های پیچیده، دانشگاه شهیدبهشتی
یکشنبه 24 مرداد، ساعت 13:30عصر
کلاس 1 دانشکده فیزیک
حضور در این جلسات برای همه ی فعالان و علاقمندان آزاد است.
ضمنا علاقه مندان می توانند برای ارائه موضوعات خود به ادمین پیام داده و یا در جلسه بصورت حضوری مطرح نمایند.
Choosing Collaboration Partners. How Scientific Success in Physics Depends on Network Positions
Raphael H. Heiberger, Oliver J. Wieczorek
http://arxiv.org/abs/1608.03251
Raphael H. Heiberger, Oliver J. Wieczorek
http://arxiv.org/abs/1608.03251
Phase transition from egalitarian to hierarchical societies driven by competition between cognitive and social constraints
Nestor Caticha, Rafael Calsaverini, Renato Vicente
https://arxiv.org/abs/1608.03637?utm_source=twitterfeed&utm_medium=twitter
Nestor Caticha, Rafael Calsaverini, Renato Vicente
https://arxiv.org/abs/1608.03637?utm_source=twitterfeed&utm_medium=twitter
Local equilibrium in bird flocks
http://www.nature.com/nphys/journal/vaop/ncurrent/pdf/nphys3846.pdf
Abstract
The correlated motion of flocks is an example of global order emerging from local interactions. An essential difference with respect to analogous ferromagnetic systems is that flocks are active: animals move relative to each other, dynamically rearranging their interaction network. This non-equilibrium characteristic has been studied theoretically, but its impact on actual animal groups remains to be fully explored experimentally. Here, we introduce a novel dynamical inference technique, based on the principle of maximum entropy, which accommodates network rearrangements and overcomes the problem of slow experimental sampling rates. We use this method to infer the strength and range of alignment forces from data of starling flocks. We find that local bird alignment occurs on a much faster timescale than neighbour rearrangement. Accordingly, equilibrium inference, which assumes a fixed interaction network, gives results consistent with dynamical inference. We conclude that bird orientations are in a state of local quasi-equilibrium over the interaction length scale, providing firm ground for the applicability of statistical physics in certain active systems.
http://www.nature.com/nphys/journal/vaop/ncurrent/pdf/nphys3846.pdf
Abstract
The correlated motion of flocks is an example of global order emerging from local interactions. An essential difference with respect to analogous ferromagnetic systems is that flocks are active: animals move relative to each other, dynamically rearranging their interaction network. This non-equilibrium characteristic has been studied theoretically, but its impact on actual animal groups remains to be fully explored experimentally. Here, we introduce a novel dynamical inference technique, based on the principle of maximum entropy, which accommodates network rearrangements and overcomes the problem of slow experimental sampling rates. We use this method to infer the strength and range of alignment forces from data of starling flocks. We find that local bird alignment occurs on a much faster timescale than neighbour rearrangement. Accordingly, equilibrium inference, which assumes a fixed interaction network, gives results consistent with dynamical inference. We conclude that bird orientations are in a state of local quasi-equilibrium over the interaction length scale, providing firm ground for the applicability of statistical physics in certain active systems.
Interested in Randomized Linear Algebra? Great resource in the link below:
http://arxiv.org/abs/1608.04481?utm_content=bufferdffab&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
http://arxiv.org/abs/1608.04481?utm_content=bufferdffab&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
http://www.inference.phy.cam.ac.uk/itprnn_lectures/ درس آنلاین Information Theory, Pattern Recognition, and Neural Networks
https://www.washingtonpost.com/news/wonk/wp/2016/08/19/the-secret-mesmerizing-math-of-taffy-pulling/?postshare=2491471645146181&tid=ss_tw-bottom
Inside the epic quest for a more perfect taffy - A story of topology, dynamical systems & hypnotic machines
Inside the epic quest for a more perfect taffy - A story of topology, dynamical systems & hypnotic machines
Washington Post
Inside the epic quest for a more perfect taffy
Patent wars. Complex math. A Supreme Court decision, even.
#سلسله_سمینارهای_هفتگی گروه سیستم های پیچیده شهید بهشتی
«بررسی مدل ASEP در شار ترافیکی»
ساسان ابراهیم آبادی، دانشجوی ارشد سیستم های پیچیده، دانشگاه شهیدبهشتی
یکشنبه 31 مرداد، ساعت 10:30 کلاس 1 دانشکده فیزیک
حضور در این جلسات برای همه ی فعالان و علاقمندان آزاد است.
ضمنا علاقه مندان می توانند برای ارائه موضوعات خود به ادمین پیام داده و یا در جلسه بصورت حضوری مطرح نمایند.
«بررسی مدل ASEP در شار ترافیکی»
ساسان ابراهیم آبادی، دانشجوی ارشد سیستم های پیچیده، دانشگاه شهیدبهشتی
یکشنبه 31 مرداد، ساعت 10:30 کلاس 1 دانشکده فیزیک
حضور در این جلسات برای همه ی فعالان و علاقمندان آزاد است.
ضمنا علاقه مندان می توانند برای ارائه موضوعات خود به ادمین پیام داده و یا در جلسه بصورت حضوری مطرح نمایند.
http://braineng.ipm.ac.ir/job.jsp گذراندن پایان نامه دانشجوی دکتری در مرکز مهندسی عصبی پژوهشگاه دانشهای بنیادی
Complex Systems Studies
http://braineng.ipm.ac.ir/job.jsp گذراندن پایان نامه دانشجوی دکتری در مرکز مهندسی عصبی پژوهشگاه دانشهای بنیادی
Job description: Brain engineering research center is providing an excellent opportunity for PhD students who are interested in systems/cognitive neuroscience for performing his/her research dissertations at IPM. The lab is broadly interested in vision and neural engineering with a specific focus on electrophysiological studies on primate vision, computational neuroscience, and visual prosthesis. The candidates should be a PhD student in electronic and computer engineering or basic science such as mathematics and neuroscience.
Postdoctoral Research Positions: Brain engineering research center at IPM/Tehran is accepting applications for 3-year postdoctoral research fellows starting September 2016. The lab is broadly interested in vision and neural engineering with a specific focus on electrophysiological studies on primate vision, computational neuroscience and visual prosthesis. The candidates should have a Ph.D. degree in neuroscience, electronic engineering, biomedical engineering, computer engineering or related field and will be involved in a collaboration with the State University of New York, College of Optometry. http://braineng.ipm.ac.ir/job_postDoc.jsp
WHY CITIES KEEP GROWING, CORPORATIONS AND PEOPLE ALWAYS DIE, AND LIFE GETS FASTER, by Geoffrey West
https://www.edge.org/conversation/geoffrey_west-why-cities-keep-growing-corporations-and-people-always-die-and-life-gets
https://www.edge.org/conversation/geoffrey_west-why-cities-keep-growing-corporations-and-people-always-die-and-life-gets
Simon's fundamental rich-gets-richer model entails a dominant first-mover advantage
https://arxiv.org/abs/1608.06313
https://arxiv.org/abs/1608.06313