🗞 #Physics, #Emergence, and the #Connectome
Robert B. Laugh
Department of Physics, Stanford University, Stanford, CA
🔗 http://www.cell.com/neuron/pdf/S0896-6273(14)00681-3.pdf
📌 SUMMARY:
Experience with complex systems more primitive than the brain teaches important lessons about big data in biology. Chief among them is that physical laws, relationships among measured things that are always true, emerge out of chaos, not the other way around. Correct prediction (as opposed to incorrect prediction) from large data sets requires understanding of these laws. The reason is that the same processes that make them also make the system wildly error-intolerant if the errors are too large. This instability routinely causes computer simulations of even primitive systems to fail by enabling mistakes to cascade into ever worsening falsehoods. The more complex and sophisticated the system is, the more intolerant to errors it becomes.
Robert B. Laugh
Department of Physics, Stanford University, Stanford, CA
🔗 http://www.cell.com/neuron/pdf/S0896-6273(14)00681-3.pdf
📌 SUMMARY:
Experience with complex systems more primitive than the brain teaches important lessons about big data in biology. Chief among them is that physical laws, relationships among measured things that are always true, emerge out of chaos, not the other way around. Correct prediction (as opposed to incorrect prediction) from large data sets requires understanding of these laws. The reason is that the same processes that make them also make the system wildly error-intolerant if the errors are too large. This instability routinely causes computer simulations of even primitive systems to fail by enabling mistakes to cascade into ever worsening falsehoods. The more complex and sophisticated the system is, the more intolerant to errors it becomes.
#سمینارهای_هفتگی گروه سیستمهای پیچیده و علم شبکه دانشگاه شهید بهشتی
🔹دوشنبه، ۲۵ اردیبهشت ماه، ساعت ۵ - کلاس ۲ دانشکده فیزیک دانشگاه شهید بهشتی
@carimi
🔹دوشنبه، ۲۵ اردیبهشت ماه، ساعت ۵ - کلاس ۲ دانشکده فیزیک دانشگاه شهید بهشتی
@carimi
📈 🇮🇷
«هنوز هیچ چیز معلوم نیست. به نظرسنجی ها اعتماد نکنید.»
https://tahayasseri.wordpress.com/2017/05/16/%D8%A8%D8%B1%D8%B1%D8%B3%DB%8C-%D8%AA%D8%AD%D9%88%D9%84%D8%A7%D8%AA-%D8%AA%D9%88%D8%AC%D9%87-%D8%B9%D9%85%D9%88%D9%85%DB%8C-%D8%A8%D9%87-%D9%86%D8%A7%D9%85%D8%B2%D8%AF%D9%87%D8%A7%DB%8C-%D8%A7%D9%86/
«هنوز هیچ چیز معلوم نیست. به نظرسنجی ها اعتماد نکنید.»
https://tahayasseri.wordpress.com/2017/05/16/%D8%A8%D8%B1%D8%B1%D8%B3%DB%8C-%D8%AA%D8%AD%D9%88%D9%84%D8%A7%D8%AA-%D8%AA%D9%88%D8%AC%D9%87-%D8%B9%D9%85%D9%88%D9%85%DB%8C-%D8%A8%D9%87-%D9%86%D8%A7%D9%85%D8%B2%D8%AF%D9%87%D8%A7%DB%8C-%D8%A7%D9%86/
stories for Sunday morning
بررسی تحولات توجه عمومی به نامزدهای انتخابات ریاست جمهوری ایران ۱۳۹۶
با افزایش روزافزون استفاده ما از اینترنت و تکنولوژیهای مبتنی بر آن بسیاری از مناسبات اجتماعی، اقتصادی، و سیاسی ما دستخوش تغییر شده است. به طور خاص فعالیتهای سیاسی و مشارکت مدنی شکلی کاملا متفاوت …
🗞 Locally noisy autonomous agents improve global human coordination in network experiments
http://www.nature.com/nature/journal/v545/n7654/full/nature22332.html
http://www.nature.com/nature/journal/v545/n7654/full/nature22332.html
🌀 http://www.openculture.com/2017/05/a-free-course-on-machine-learning-data-science-from-caltech.html
Open Culture
A Free Course on Machine Learning & Data Science from Caltech
Right now, Machine Learning and Data Science are two hot topics, the subject of many courses being offered at universities today.
Forwarded from انجمن علمی فیزیک و نجوم دانشگاه صنعتی امیرکبیر
باكتري هاي چرخان و فيزيك گذار فاز
ارائه از عباس كريمي
با حضور خانم دكتر مرصوصي
دوشنبه ١ خرداد ساعت ١٢.٣٠
آمفي تئاتر دانشكده فيزيك و مهندسي انرژي
ارائه از عباس كريمي
با حضور خانم دكتر مرصوصي
دوشنبه ١ خرداد ساعت ١٢.٣٠
آمفي تئاتر دانشكده فيزيك و مهندسي انرژي
Forwarded from Deleted Account [SCAM]
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Nonlinear Systems: 11 Phase Transitions & Bifurcations
#سمینارهای_هفتگی گروه سیستمهای پیچیده و علم شبکه دانشگاه شهید بهشتی
🔹دوشنبه، 1 خرداد ماه، ساعت ۵ - کلاس 4 دانشکده فیزیک دانشگاه شهید بهشتی
🔹دوشنبه، 1 خرداد ماه، ساعت ۵ - کلاس 4 دانشکده فیزیک دانشگاه شهید بهشتی
Forwarded from کافه فیزیک بهشتی (sbuPhysics)
#کافه_فیزیک #جلسه ششم
🗓سه شنبه ٢ خرداد ٩٦
🕰ساعت ١٢:٤٠
📍دانشكده فيزيك دانشگاه شهيد بهشتى، طبقه اول!
عنوان:
"مدل تپه شنى و مغز"
با كافه فيزيك همراه باشيد! ☕️😊
@farzin23i
@sbu_physicscafe
🗓سه شنبه ٢ خرداد ٩٦
🕰ساعت ١٢:٤٠
📍دانشكده فيزيك دانشگاه شهيد بهشتى، طبقه اول!
عنوان:
"مدل تپه شنى و مغز"
با كافه فيزيك همراه باشيد! ☕️😊
@farzin23i
@sbu_physicscafe
🎞 http://www.cornell.edu/video/william-bialek-are-biological-networks-poised-at-criticality
Using examples from families of proteins, networks of neurons and flocks of birds, William Bialek of Princeton University describes successes constructing statistical mechanics models of biological systems directly from real data, March 16, 2015, as part of the Department of Physics Bethe Lecture Series.
Using examples from families of proteins, networks of neurons and flocks of birds, William Bialek of Princeton University describes successes constructing statistical mechanics models of biological systems directly from real data, March 16, 2015, as part of the Department of Physics Bethe Lecture Series.
CornellCast
Are Biological Networks Poised at Criticality? - CornellCast
Using examples from families of proteins, networks of neurons and flocks of birds, William Bialek of Princeton University describes successes constructing statistical mechanics models of biological systems directly from real data, March 16, 2015, as part…
Forwarded from Deleted Account [SCAM]
Audio
055 - Unintended Consequences with Complexity Scientist Yaneer Bar-Yam
😳 Analysis on 39,110 Twitter users show that an individual on average is less happy than their "friends" on the social network.
https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-017-0100-1
https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-017-0100-1
SpringerOpen
The happiness paradox: your friends are happier than you - EPJ Data Science
Most individuals in social networks experience a so-called Friendship Paradox: they are less popular than their friends on average. This effect may explain recent findings that widespread social network media use leads to reduced happiness. However the relation…