মিডিয়া
- টুইট
- টুইট এবং উত্তর
- মিডিয়া, বর্তমান পৃষ্ঠা।
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Just up on arXiv http://goo.gl/wnfXu7 "A Parsimonious Dynamical Model for Structural Learning in the Human Brain" led by Zhixin Lu blending chaos theory, network science, & recurrent neural networks to understand how we deduce structure underlying temporal sequences of stimulipic.twitter.com/i1jNEKP9LK
এই থ্রেডটি দেখান -
Just published in
@NatRevNeurosci "On the nature and use of models in network neuroscience" http://goo.gl/PU2PNB w/ P. Zurn and J.I. Gold. We draw on biology, philosophy and other disciplines to establish validation principles for network models.pic.twitter.com/ewSpi7nzD9
এই থ্রেডটি দেখান -
Just up on PsyArXiv! "Functional Connectivity Among Default Mode, Fronto-Parietal, and Salience Networks Moderates the Lagged Association between Sadness and Rumination in Daily Life" led by
@DLydonStaley w/ C. Kuehner, V. Zamoscik, Huffziger, & P. Kirsch http://goo.gl/oqSxwp pic.twitter.com/NW7cyNqARs
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Just published in
@PLOSCompBiol : http://goo.gl/FbDkri "Subgraphs of functional brain networks identify dynamical constraints of cognitive control."@ANKhambhati asks how network interactions linking cognitive systems coordinate transitions between cognitively demanding statespic.twitter.com/EFPE91myA5
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Just up on biorXiv! "Non-assortative community structure in resting & task-evoked functional brain networks" led by
@richardfbetzel w/Bertolero http://goo.gl/U5cTkN Internally dense, externally sparse modules can't account for diversity of information processing & transmissionpic.twitter.com/6Kfxa7Qkkg
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Just up on arxiv! "The importance of the whole: topological data analysis for the network neuroscientist" led by
@annsizemore7 w/@robertghrist &@CreminsLab http://goo.gl/F7gxBu pic.twitter.com/HGrLXtYydQ
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Just up on arXiv, "The landscape of NeuroImage-ing research," led by
@jddwor w/@Penn_SIVE: http://goo.gl/w9xEpV The work presents a cohesive model for understanding the landscape of neuroimaging research across the field, in broad subfields, and within specific topic areas.pic.twitter.com/LiZJTEpOVH
এই থ্রেডটি দেখান -
Just up on arXiv, "Structure from noise: Mental errors yield abstract representations of events," led by Chris Lynn: https://arxiv.org/abs/1805.12491 A maximum entropy model explains how humans might learn higher-order structure (topology) in statistical relationships (networks).pic.twitter.com/XpEpSVL38e
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Preprint just out "White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions", led by
@stiso_jennifer w/@ANKhambhati and team: http://biorxiv.org/cgi/content/short/313304v1 … Network control theory at work with grid stimulation, ECoG, DTI, and cognition.pic.twitter.com/GBvP1mhNap
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Preprint just out! http://goo.gl/TYz84B "The emergent integrated network structure of scientific research", collab led by
@jddwor w/Taki Shinohara. Scientific research as natural computation.pic.twitter.com/iLwGib1Skp
এই থ্রেডটি দেখান -
Preprint just out: "Conformational Control of Mechanical Networks" http://goo.gl/1c3ChL led by
@bob6294 w/@stevenstrogatz and Zhixin Lupic.twitter.com/6XOzdgCYtK
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Preprint just out: "Predictive control of electrophysiological network architecture using direct, single-node neurostimulation in humans" http://goo.gl/ViFo6i lead by
@ANKhambhatipic.twitter.com/DOqCtswtxr
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Just out in NeuroImage Clinical: http://goo.gl/YBDcUf w/Sarah Muldoon, Ron Lesser, Julia Costantini, & Bob Webber: "Locally stable brain states predict suppression of epileptic activity by enhanced cognitive effort"pic.twitter.com/kJOhbE3QgK
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Just out in Brain from Joe Tracy's group: "Disrupted dynamic network reconfiguration of the language system in temporal lobe epilepsy" http://goo.gl/jwCgYW pic.twitter.com/C6j04sMJHk
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Just out in Journal of Nonlinear Science, w/ Elena W-Yan,
@richardfbetzel Evelyn Tang,@Fabiopas82 and others, "Benchmarking Measures of Network Controllability on Canonical Graph Models": http://rdcu.be/IJkM pic.twitter.com/Uf5hsImHY8
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Just up on arXiv, "Surges of collective human activity emerge from simple pairwise correlations" w/Chris Lynn: http://arxiv.org/abs/1803.00118 Pairwise maximum entropy model accurately describes human behavior.pic.twitter.com/1w6YmW1tgD
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Shi Gu's most recent work just out in Scientific Reports: "The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure" http://rdcu.be/Gnqs pic.twitter.com/kfaV8bMOzX
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Just out in IEEE Proceedings: "Applications of Community Detection Techniques to Brain Graphs", includes a resource of statistical measures for spatially embedded modules. W/
@ArianAshourvan, Garcia, Vettel, Muldoon http://goo.gl/jDRnoC pic.twitter.com/BAnwRNa4O8
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Just out in NeuroImage! led by
@marcelomattar "Predicting future learning from baseline network architecture" http://goo.gl/kECAxG pic.twitter.com/hauGW9NKde
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New Preprint! led by
@DLydonStaley, and with@sattertt and Rastko Ciric, "Evaluation of confound regression strategies for the mitigation of motion artifact in studies of dynamic resting state functional connectivity": https://psyarxiv.com/rw5zt/ pic.twitter.com/F1Z7z7kNuu
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