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Designing Distributed Systems Using Approximate Synchrony in Data Center Networks

Dan R. K. Ports, Jialin Li, Vincent Liu, Naveen Kr. Sharma, Arvind Krishnamurthy
2015 Symposium on Networked Systems Design and Implementation  
However, many of today's distributed applications are deployed in data centers, where the network is more reliable, predictable, and extensible.  ...  In these environments, it is possible to co-design distributed systems with their network layer, and doing so can offer substantial benefits.  ...  This work was supported in part by Google and the National Science Foundation (CNS-0963754, CNS-1217597, CNS-1318396, and CNS-1420703).  ... 
dblp:conf/nsdi/PortsLLSK15 fatcat:gsgogg7h6vbbdowat6vkknl6ne

Sound in Multiples: Synchrony and Interaction Design using Coupled-Oscillator Networks

Nolan Lem
2019 Proceedings of the SMC Conferences  
a gaussian distributions with µ centered around the FFT bin center frequency.  ...  "Clapping Music", "Come Out", "Piano Phase") could be approximated by a coupled oscillator model that converges in and out of synchrony.  ... 
doi:10.5281/zenodo.3249427 fatcat:ac4toiyejjc3nemqzbtaoec3za

Younger, but not older, brains are poised at a critical point of functional activity [article]

Corey Weistuch, Lilianne R Mujica-Parodi, Anar Amgalan, Ken A Dill
2020 bioRxiv   pre-print
Here, we examined the role of age-related glucose hypometabolism by adapting functional MRI data to the Ising model.  ...  Aging is associated with significant changes in communication between brain regions, yet the principles governing these changes are poorly understood.  ...  CRediT authorship contribution statement LRMP designed the experiments. AA pre-processed the data. CW did the modeling and designed the methods used. CW, LRMP, and KD wrote and revised the paper.  ... 
doi:10.1101/2020.04.17.047233 fatcat:stgpwgvjergrjp667migidpm3q

Menagerie: exploring the audio-visual rhythms of violence through data, gun triggers, and swarms

Nolan Lem
2020 Zenodo  
In this piece, this sound is used as a medium through which the trigger swarm aggregates sonic mass to expose and sonify the timbral density of gun-related violence.  ...  This paper presents an overview of the compositional process involved in the design and fabrication of the AR triggers, the programming and control of the selforganizing triggering algorithm, and the aesthetic  ...  Acknowledgments I'd like to thank Professor Stefania Serafin for her tireless support of this project at Aalborg University Copenhagen where I was an artist and researcher in residence during the summer  ... 
doi:10.5281/zenodo.3898711 fatcat:hsaksd3x35ak5jmqs4327ojjay

Effects of picture repetition on induced gamma band responses, evoked potentials, and phase synchrony in the human EEG

Thomas Gruber, Matthias M. Müller
2002 Cognitive Brain Research  
Results showed a broad distribution of spectral gamma power and synchrony after initial picture presentation.  ...  Recently, induced gamma band responses (GBRs) were discussed as a possible physiological correlate of activity in such a cell assembly.  ...  between initial and repeated stimulus pretional 10-20 system was used.  ... 
doi:10.1016/s0926-6410(01)00130-6 pmid:11919002 fatcat:sgy5pj23ajc45negzx6c6sp7ma

Kuramoto model simulation of neural hubs and dynamic synchrony in the human cerebral connectome

Ruben Schmidt, Karl J. R. LaFleur, Marcel A. de Reus, Leonard H. van den Berg, Martijn P. van den Heuvel
2015 BMC Neuroscience  
Results: Our findings show that synchrony among hub nodes was higher than any module's intramodular synchrony (p < 10 −4 , for cortical coupling strengths, λ, in the range 0.02 < λ < 0.05), suggesting  ...  module assignment of brain regions based on empirically determined resting-state data.  ...  In order to verify our findings on the human cortical network, a reconstruction of the macaque cortical network was used based on collated data from tract-tracing experiments.  ... 
doi:10.1186/s12868-015-0193-z pmid:26329640 pmcid:PMC4556019 fatcat:2slp7httxfhflhhxpjqsfqja7y

Adaptive knot Placement for Nonparametric Regression

Hossein Lari-Najafi, Vladimir Cherkassky
1993 Neural Information Processing Systems  
Constrained Topological Mapping algorithm is a novel method that achieves adaptive knot placement by using a neural network based on Kohonen's self-organizing maps.  ...  We found the connections for this network by using the backpropagation algorithm in a static network that approximates the behavior of the amplitudes of oscillation in a fully synchronized dynamic network  ...  The network has been designed so that amplitude codes the information content or activity of a module, whereas phase and frequency are used to "softwire" the network.  ... 
dblp:conf/nips/NajafiC93 fatcat:wfmo534lozhehio43e2vpw63c4

Optimizing Provider Recruitment for Influenza Surveillance Networks

Samuel V. Scarpino, Nedialko B. Dimitrov, Lauren Ancel Meyers, Mark M. Tanaka
2012 PLoS Computational Biology  
Using past surveillance and Internet search data, it determines the precise locations where providers should be enrolled.  ...  This optimized network avoids informational redundancies and is thereby more effective than networks designed by conventional methods and a recently published algorithm based on maximizing population coverage  ...  Acknowledgments The authors thank Marilyn Felkner and Jeff Taylor at the Texas Department of State Health Services and the Meyers and Wilke labs at the University of Texas at Austin for useful comments  ... 
doi:10.1371/journal.pcbi.1002472 pmid:22511860 pmcid:PMC3325176 fatcat:l4ry2uywp5aizedwc35qj6y6cm

Temporally intermittent communities in brain fMRI correlation networks

Ulf Aslak, Søren F. V. Nielsen, Morten Mørup, Sune Lehmann
2019 Applied Network Science  
activate in synchrony during specific types of cognition.  ...  In spite of this, however, relatively little attention has been given to solving this problem using recently developed techniques for temporal community detection.  ...  In our case, we used the cubic-approximation to the negative entropy, which is the default in nilearn.  ... 
doi:10.1007/s41109-019-0178-4 fatcat:o46ir3tm2jav5nsadwieqaikci

Large-scale cooperative task distribution on peer-to-peer networks

Daniel R. Karrels, Gilbert L. Peterson, Barry E. Mullins
2013 Web Intelligence and Agent Systems  
Large-scale systems are part of a growing trend in distributed computing, and coordinating control of them is an increasing challenge.  ...  Peersim simulations demonstrate that the distributed coalition formation algorithm is as effective as an omnipotent central algorithm in a one million agent system.  ...  Since the algorithm is distributed and designed to operate in large-scale systems, it does not use global knowledge.  ... 
doi:10.3233/wia-130263 fatcat:cram5fbwk5brrdtnsleyomtpja

Neuronal synchrony reveals working memory networks and predicts individual memory capacity

J. M. Palva, S. Monto, S. Kulashekhar, S. Palva
2010 Proceedings of the National Academy of Sciences of the United States of America  
Author contributions: J.M.P. and S.P. designed research; S.P. performed research; J.M.P., S.M., and S.K. contributed new reagents/analytic tools; J.M.P. and S.P. analyzed data; and J.M.P. and S.P. wrote  ...  Furthermore, the average and load condition data imply that several partially distinct and spectrally distributed attentional networks support VWM maintenance.  ...  The average and load condition data suggested that interareal interactions regulated by phase synchrony could be a systems level mechanism for sustaining neuronal object representations in VWM.  ... 
doi:10.1073/pnas.0913113107 pmid:20368447 pmcid:PMC2867688 fatcat:twqthdqegzedvn3nrsm6e4pxyy

Towards Spike-Based Speech Processing: A Biologically Plausible Approach to Simple Acoustic Classification

Ismail Uysal, Harsha Sathyendra, John Harris
2008 International Journal of Applied Mathematics and Computer Science  
banks similar to cochlear filter banks in frequency distribution and bandwidth.  ...  The performance tests show superior performance on a noisy vowel data set when compared with a conventional ASR system.  ...  The neural network uses a tangential sigmoid output which is quantized by the number of available input classes and is used to approximate the memoryless readout function mapping the state of the microcircuit  ... 
doi:10.2478/v10006-008-0012-0 fatcat:hjty4ijxpfc4pido7kxq37sw54

Mean-field approximations with adaptive coupling for networks with spike-timing-dependent plasticity [article]

Benoit Duchet, Christian Bick, Aine Byrne
2022 bioRxiv   pre-print
We then derive exact expressions for the evolution of the average PDDP coupling weight in terms of network synchrony.  ...  Understanding the effect of spike-timing-dependent plasticity (STDP) is key to elucidate how neural networks change over long timescales and to design interventions aimed at modulating such networks in  ...  Acknowledgements The authors would like to acknowledge the use of the University of Oxford Advanced Research Computing (ARC) facility in carrying out this work  ... 
doi:10.1101/2022.07.02.498537 fatcat:foivfo5sojc23ij2pauaqmlsgy

Information theoretic measures of network coordination in high-frequency scalp EEG reveal dynamic patterns associated with seizure termination

Catherine Stamoulis, Donald L. Schomer, Bernard S. Chang
2013 Epilepsy Research  
These changes in network synchrony started at least 20-30 sec prior to seizure offset, depending on the seizure duration. Opposite patterns were estimated at frequencies ≤100 Hz in several seizures.  ...  Using information theoretic measures of network coordination, this study investigated ictal and immediate postictal neurodynamic interactions encoded in scalp EEGs from a relatively small sample of 8 patients  ...  Acknowledgments The authors would like to thank Larry Gruber for his help with the EEG data.  ... 
doi:10.1016/j.eplepsyres.2013.03.001 pmid:23608198 pmcid:PMC3801422 fatcat:zjrbguiowfe3bcvt75ol54x7he

Statistical Identification of Synchronous Spiking [chapter]

Matthew Harrison, Asohan Amarasingham, Robert Kass
2013 Spike Timing  
This collection of pseudo-data CCHs can be used to approximate the typical variability under the null distribution in a variety of ways. Some examples are given in Sections 4.3.4 and 4.3.7.  ...  They are not designed to quantify synchrony.  ...  Appendix A Probability and random variables Random variables are used as theoretical counterparts to data.  ... 
doi:10.1201/b14859-6 fatcat:sgcpddcn25dd7cvigehvypgy5u
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