🗞 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
#Coursera Specializations for #Big_Data #Data_Science #Data_Mining #Machine_Learning #Genomic_algorithm
1️⃣ Master Statistics with R
Statistical mastery of data analysis including inference, modeling, and Bayesian approaches.
(Financial Aid is available for learners who cannot afford the fee.)
🔗 https://www.coursera.org/specializations/statistics?utm_medium=email&utm_source=marketing&utm_campaign=i63GIP7GEeaXhPPOxq79Gw
2️⃣ Analyze Text, Discover Patterns, Visualize Data
Solve real-world data mining challenges.
(Financial Aid is available for learners who cannot afford the fee.)
🔗 https://www.coursera.org/specializations/data-mining?utm_medium=email&utm_source=marketing&utm_campaign=i63GIP7GEeaXhPPOxq79Gw
3️⃣ Launch Your Career in Data Science
A nine-course introduction to data science, developed and taught by leading professors.
(Financial Aid is available for learners who cannot afford the fee.)
🔗 https://www.coursera.org/specializations/jhu-data-science?utm_medium=email&utm_source=marketing&utm_campaign=i63GIP7GEeaXhPPOxq79Gw
4️⃣ Unlock Value in Massive Datasets
Learn fundamental big data methods in six straightforward courses.
(Financial Aid is available for learners who cannot afford the fee.)
🔗 https://www.coursera.org/specializations/big-data?utm_medium=email&utm_source=marketing&utm_campaign=i63GIP7GEeaXhPPOxq79Gw
5️⃣ Master Algorithmic Programming Techniques
Learn algorithms through programming and advance your software engineering or data science career
(Financial Aid is available for learners who cannot afford the fee.)
🔗 https://www.coursera.org/specializations/data-structures-algorithms?utm_medium=email&utm_source=marketing&utm_campaign=i63GIP7GEeaXhPPOxq79Gw
6️⃣ Become a next generation sequencing data scientist
Master the tools and techniques at the forefront of the sequencing data revolution.
(Financial Aid is available for learners who cannot afford the fee.)
🔗 https://www.coursera.org/specializations/genomic-data-science?utm_medium=email&utm_source=marketing&utm_campaign=i63GIP7GEeaXhPPOxq79Gw
1️⃣ Master Statistics with R
Statistical mastery of data analysis including inference, modeling, and Bayesian approaches.
(Financial Aid is available for learners who cannot afford the fee.)
🔗 https://www.coursera.org/specializations/statistics?utm_medium=email&utm_source=marketing&utm_campaign=i63GIP7GEeaXhPPOxq79Gw
2️⃣ Analyze Text, Discover Patterns, Visualize Data
Solve real-world data mining challenges.
(Financial Aid is available for learners who cannot afford the fee.)
🔗 https://www.coursera.org/specializations/data-mining?utm_medium=email&utm_source=marketing&utm_campaign=i63GIP7GEeaXhPPOxq79Gw
3️⃣ Launch Your Career in Data Science
A nine-course introduction to data science, developed and taught by leading professors.
(Financial Aid is available for learners who cannot afford the fee.)
🔗 https://www.coursera.org/specializations/jhu-data-science?utm_medium=email&utm_source=marketing&utm_campaign=i63GIP7GEeaXhPPOxq79Gw
4️⃣ Unlock Value in Massive Datasets
Learn fundamental big data methods in six straightforward courses.
(Financial Aid is available for learners who cannot afford the fee.)
🔗 https://www.coursera.org/specializations/big-data?utm_medium=email&utm_source=marketing&utm_campaign=i63GIP7GEeaXhPPOxq79Gw
5️⃣ Master Algorithmic Programming Techniques
Learn algorithms through programming and advance your software engineering or data science career
(Financial Aid is available for learners who cannot afford the fee.)
🔗 https://www.coursera.org/specializations/data-structures-algorithms?utm_medium=email&utm_source=marketing&utm_campaign=i63GIP7GEeaXhPPOxq79Gw
6️⃣ Become a next generation sequencing data scientist
Master the tools and techniques at the forefront of the sequencing data revolution.
(Financial Aid is available for learners who cannot afford the fee.)
🔗 https://www.coursera.org/specializations/genomic-data-science?utm_medium=email&utm_source=marketing&utm_campaign=i63GIP7GEeaXhPPOxq79Gw
#سمینارهای_هفتگی گروه سیستمهای پیچیده و علم شبکه دانشگاه شهید بهشتی
🔹دوشنبه، ۱۶اسفندماه، ساعت ۴/۵ - کلاس ۴ دانشکده فیزیک دانشگاه شهید بهشتی
🔹دوشنبه، ۱۶اسفندماه، ساعت ۴/۵ - کلاس ۴ دانشکده فیزیک دانشگاه شهید بهشتی
Complex Systems Studies
#سمینارهای_هفتگی گروه سیستمهای پیچیده و علم شبکه دانشگاه شهید بهشتی 🔹دوشنبه، ۱۶اسفندماه، ساعت ۴/۵ - کلاس ۴ دانشکده فیزیک دانشگاه شهید بهشتی
🌀 «هنگامی که میگوییم «پیچیدگی»، منظورمان چیست؟»
عباس کریمی، دانشجوی کارشناسی ارشد سیستمهای پیچیده، دانشگاه شهیدبهشتی
🌀 خلاصه
«به نظر من، قرن بعدی (۲۱ام) قرن پیچیدگی است!» استیون هاوکینگ
گاهی گفته میشود که ایده پیچیدگی، بخشی از چهارچوب اتحاد بخشی برای علم و انقلابی در فهم ما از سیستمهایی مانند مغز انسان یا اقتصاد جهانی است که رفتار آنها بهسختی قابل پیشبینی و کنترل است. به همین خاطر، سوالی مطرح میشود؛ آیا چیزی به عنوان «علم پیچیدگی» وجود دارد یا اینکه پیچیدگی متناظر با هر شاخهای از علم، دارای شیوه خاص خود است و مردم در رشتههای مختلف مشغول سر و کله زدن با سیستمهای پیچیده زمینه کاری خود هستند؟! به عبارت دیگر، آیا یک پدیده طبیعی مجرد به اسم پیچیدگی، به عنوان بخشی از یک نظریه خاص علمی در سیستمهای متنوع فیزیکی (شامل موجودات زنده) وجود دارد یا اینکه ممکن است سیستمهای پیچده گوناگونی بدون هیچ وجه مشترک وجود داشته باشند؟!
بنابراین، مهمترین سوالی که در زمینه پیچیدگی میتوانیم بپرسیم این است که، به راستی پیچیدگی چیست؟ و در صورت وجود پاسخ مناسب به این پرسش، به دنبال این باشیم که آیا برای تمام علوم یک نوع پیچیدگی وجود دارد یا اینکه پیچیدگی وابسته به حوزه مورد مطالعه است!؟ در این سخنرانی قصد داریم به این پرسش پاسخ مناسبی دهیم!
عباس کریمی، دانشجوی کارشناسی ارشد سیستمهای پیچیده، دانشگاه شهیدبهشتی
🌀 خلاصه
«به نظر من، قرن بعدی (۲۱ام) قرن پیچیدگی است!» استیون هاوکینگ
گاهی گفته میشود که ایده پیچیدگی، بخشی از چهارچوب اتحاد بخشی برای علم و انقلابی در فهم ما از سیستمهایی مانند مغز انسان یا اقتصاد جهانی است که رفتار آنها بهسختی قابل پیشبینی و کنترل است. به همین خاطر، سوالی مطرح میشود؛ آیا چیزی به عنوان «علم پیچیدگی» وجود دارد یا اینکه پیچیدگی متناظر با هر شاخهای از علم، دارای شیوه خاص خود است و مردم در رشتههای مختلف مشغول سر و کله زدن با سیستمهای پیچیده زمینه کاری خود هستند؟! به عبارت دیگر، آیا یک پدیده طبیعی مجرد به اسم پیچیدگی، به عنوان بخشی از یک نظریه خاص علمی در سیستمهای متنوع فیزیکی (شامل موجودات زنده) وجود دارد یا اینکه ممکن است سیستمهای پیچده گوناگونی بدون هیچ وجه مشترک وجود داشته باشند؟!
بنابراین، مهمترین سوالی که در زمینه پیچیدگی میتوانیم بپرسیم این است که، به راستی پیچیدگی چیست؟ و در صورت وجود پاسخ مناسب به این پرسش، به دنبال این باشیم که آیا برای تمام علوم یک نوع پیچیدگی وجود دارد یا اینکه پیچیدگی وابسته به حوزه مورد مطالعه است!؟ در این سخنرانی قصد داریم به این پرسش پاسخ مناسبی دهیم!
🗞 Global Patterns of Synchronization in Human Communications
Alfredo J. Morales, Vaibhav Vavilala, Rosa M. Benito, Yaneer Bar-Yam, Global patterns of synchronization in human communications, Journal of the Royal Society Interface (March 1, 2017).
🔗 http://necsi.edu/research/networks/globalsync.pdf
📌 ABSTRACT
Social media are transforming global communication and coordination and provide unprecedented opportunities for studying socio-technical domains. Here we study global dynamical patterns of communication on Twitter across many scales. Underlying the observed patterns is both the diurnal rotation of the earth, day and night, and the synchrony required for contingency of actions between individuals. We find that urban areas show a cyclic contraction and expansion that resembles heartbeats linked to social rather than natural cycles. Different urban areas have characteristic signatures of daily collective activities. We show that the differences detected are consistent with a new emergent global synchrony that couples behavior in distant regions across the world. Although local synchrony is the major force that shapes the collective behavior in cities, a larger-scale synchronization is beginning to occur.
Alfredo J. Morales, Vaibhav Vavilala, Rosa M. Benito, Yaneer Bar-Yam, Global patterns of synchronization in human communications, Journal of the Royal Society Interface (March 1, 2017).
🔗 http://necsi.edu/research/networks/globalsync.pdf
📌 ABSTRACT
Social media are transforming global communication and coordination and provide unprecedented opportunities for studying socio-technical domains. Here we study global dynamical patterns of communication on Twitter across many scales. Underlying the observed patterns is both the diurnal rotation of the earth, day and night, and the synchrony required for contingency of actions between individuals. We find that urban areas show a cyclic contraction and expansion that resembles heartbeats linked to social rather than natural cycles. Different urban areas have characteristic signatures of daily collective activities. We show that the differences detected are consistent with a new emergent global synchrony that couples behavior in distant regions across the world. Although local synchrony is the major force that shapes the collective behavior in cities, a larger-scale synchronization is beginning to occur.
Forwarded from رادیوفیزیک 📣
When We Say “COMPLEXITY” What Do We Mean-.pdf
2.8 MB
اسلایدهای سخنرانی عباس کریمی با موضوع «هنگامی که میگوییم «پیچیدگی»، منظورمان چیست؟» در دانشکده فیزیک دانشگاه شهیدبهشتی