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🎞 Network Neuroscience: Mapping and Modeling Complex Brain Networks (Dr. Olaf Sporns)

πŸ’₯Free recorded workshop by Dr. Olaf Sporns, University of Indiana, Bloomington.

πŸ’₯Modern neuroscience is in the middle of a transformation, driven by the development of novel high-resolution brain mapping and recording technologies that deliver increasingly large and detailed β€œbig neuroscience data”. Network science has emerged as one of the principal approaches to model and analyze neural systems, from individual neurons to circuits and systems spanning the whole brain. A core theme of network neuroscience is the comprehensive mapping of anatomical and functional brain connectivity, also called connectomics. In this presentation I will review current themes and future directions of network neuroscience, including comparative studies of brain networks across different animal species, investigation of prominent network attributes in human brains, and use of computational models to map information flow and communication dynamics. I will argue that network neuroscience represents a promising theoretical framework for understanding the complex structure, operations and functioning of nervous systems.

πŸ“½ Watch

πŸ“²Channel: @ComplexNetworkAnalysis

#video #Brain #workshop
πŸ“„Navigation of brain networks

πŸ“˜
Journal: Biological Sciences
(I.F=6.58)

πŸ—“Publish
year: 2019

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #brain
πŸ‘1
🎞 Introduction to Brain Network Analysis

πŸ’₯Free recorded Lecture by Dr. Johann D. Kruschwitz.

πŸ’₯Graph Theoretical Modelling of Brain Connectivity.

πŸ“½ Watch: part1 part2

πŸ“²Channel: @ComplexNetworkAnalysis

#video #Lecture #Brain
πŸ“„The relation between structural and functional connectivity patterns in complex brain networks

πŸ“˜
Journal: International Journal of Psychophysiology (I.F=2.882)

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper
Complex_brain_networks_graph_theoretical_analysis_of_structural.pdf
52.1 KB
πŸ“„Complex brain networks: graph theoretical analysis of structural and functional systems

πŸ“˜
Journal: Nature Reviews Neuroscience(I.F=34.87)

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Review #brain
πŸ“„Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review

πŸ“˜
Journal: Frontiers in Computational Neuroscience(I.F=3.41)

πŸ—“Publish year: 2019

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Review #brain
πŸ“„The influence of ageing on complex brain networks: A graph theoretical analysis

πŸ“˜
Journal: Human brain mapping (I.F=5.038)

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper
πŸ“„Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence

πŸ“˜
Journal: Journal of Medical Internet Research (JMIR) (I.F=7.08)

πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #application #covid_19
πŸ“„A comparative analysis of link removal strategies in real complex weighted networks

πŸ“˜
Journal: Scientific Reports (I.F=4.996)

πŸ—“Publish year: 2020

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πŸ“±Channel: @ComplexNetworkAnalysis
#paper #comparative
2019_A_study_of_the_petroleum_trade_network_of_countries_along.pdf
1.6 MB
πŸ“„A study of the petroleum trade network of countries along β€œThe Belt and Road Initiative”

πŸ“˜
Journal: Journal of Cleaner Production (I.F=9.297)

πŸ—“Publish
year: 2019

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #trade
2022_Complex_Network_Analysis_of_the_Bitcoin_Transaction_Network.pdf
1.4 MB
πŸ“„Complex Network Analysis of the Bitcoin Transaction Network

πŸ“˜
Journal: IEEE Transactions on Circuits and Systems II: Express Briefs (I.F=3.292)

πŸ—“Publish
year: 2022

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #BitcoinTransactionNetwork
πŸ“„Applications of Complex Network Analysis in Electric Power Systems

πŸ“˜
Journal:energies (I.F=3.343)

πŸ—“Publish
year: 2018

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #ElectricPowerSystems
2014-Social Network Analysis Tools.pdf
237.6 KB
πŸ“„Social Network Analysis Tools

πŸ“˜
Conference: 2014 Fourth International Conference on Communication Systems and Network Technologies

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#paper #Tools
πŸ“„Most influential countries in the international medical device trade: Network-based analysis

πŸ“˜
Journal: Physica A: Statistical Mechanics and its Applications (I.F=3.263)

πŸ—“Publish year: 2021

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#paper #trade
2021_A_reduced_model_for_complex_network_analysis_of_public_transportation.pdf
878.2 KB
πŸ“„A reduced model for complex network analysis of public transportation systems

πŸ“˜
Journal: Physica A: Statistical Mechanics and its Applications (I.F=3.263)

πŸ—“Publish
year: 2021

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #publicTransportationSystems
2016-Complex network analysis of time series.pdf
948 KB
πŸ“„Complex network analysis of time series

πŸ“˜
Journal: Frontiers of Physics (I.F=3.563)

πŸ—“Publish
year: 2016

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #TimeSeries
2020_Network_analysis_of_international_trade_in_plastic_scrap.pdf
1.1 MB
πŸ“„Network analysis of international trade in plastic scrap

πŸ“˜
Journal: Sustainable Production and Consumption (I.F=5.032)

πŸ—“Publish
year: 2020

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #trade
2018-A complex network approach to clinical science.pdf
282 KB
πŸ“„A complex network approach to clinical science

πŸ“˜
Journal: European Journal of Clinical Investigation (I.F=5.772)

πŸ—“Publish
year: 2018

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #ClinicalScience
2020-Global e-waste trade network analysis.pdf
2.4 MB
πŸ“„Global e-waste trade network analysis

πŸ“˜
Journal: Resources, Conservation and Recycling (I.F=10.204)

πŸ—“Publish year: 2020

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #trade
🎞 Graph partitioning.

πŸ’₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.

πŸ’₯Graph density. Graph pertitioning. Min cut, ratio cut, normalized and quotient cuts metrics. Spectral graph partitioning (normalized cut). Direct (spectral) modularity maximization. Multilevel recursive partitioning

πŸ“½ Watch

πŸ“‘ Lecture

πŸ“²Channel: @ComplexNetworkAnalysis

#video #Lecture