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qqwert's library 5 articles

 
 

Network of Neural Oscillators for Retrieving Phase Information

  [CiTO]
Physical Review Letters, Vol. 74, No. 20. (May 1995), pp. 4075-4078, doi:10.1103/physrevlett.74.4075
posted to kuramoto memory networks neural synchronization by qqwert on 2010-10-23 13:14:51 ***

Abstract

We propose a network of neural oscillators to retrieve given patterns in which the oscillators keep a fixed phase relationship with one another. In this description, the phase and the amplitude of the oscillators can be regarded as the timing and the strength of the neuronal spikes, respectively. Using the amplitudes for encoding, we enable the network to realize not only oscillatory states but also nonfiring states. In addition, it is shown that under suitable conditions the system has a Lyapunov ...

 

The Structure and Function of Complex Networks

  [CiTO]
SIAM Review, Vol. 45, No. 2. (2003), pp. 167-256
posted to review by qqwert  on 2009-07-08 17:32:15 ** along with 65 people and 5 groups afragop andreassorge Borelli brihea chibatching davidecellai deanmalmgren deutsche diamantis ebalp entropynetwork eustatic eyliu fierykylin gcalda gi0rgi0ne h2jo halukbingol hmedal ilkert jaimecohen jaspervoskuilen jirak jotwin jsaramak kbm05 kimbie LaurentHD livingthingdan lshaw macle MarioPaolucci matteodellamico mawds merazzle mrkn muraken netzwerkerin nolodie ocs panisson pcarbo rajs2010 ramly rcrane rincedd senseable-urb Sergey_gerbek shikin skjq skumagai spool st3vil stefanoallesina StephanMatthiesen sudarshaniisc tmaillart tomhebbron vmarceau WaterLily2 watson weego winterstream wwweagle ypjones complex networks Complex_Real_Networks EntrepreneurialRisks RMP Soslab

Abstract

Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks. ...

 

The nature of human altruism.

  [CiTO]
Nature In Nature, Vol. 425, No. 6960. (23 October 2003), pp. 785-791, doi:10.1038/nature02043
posted to giochi review by qqwert  on 2009-07-08 17:24:12 ** along with 21 people and 1 group acrmartins alexisgallagher aMeL0588 andreassorge anois brian cosmizer jagarciag klouie leo_20 matta mpromber nickstenning PaperCollector pedram pgastrein rebeccamancy shanemacfarlan syh voiklis vtraag Glimcher_Lab

Abstract

Some of the most fundamental questions concerning our evolutionary origins, our social relations, and the organization of society are centred around issues of altruism and selfishness. Experimental evidence indicates that human altruism is a powerful force and is unique in the animal world. However, there is much individual heterogeneity and the interaction between altruists and selfish individuals is vital to human cooperation. Depending on the ...

 

Growing scale-free networks with tunable clustering

  [CiTO]
Physical Review E, Vol. 65, No. 2. (11 Jan 2002), 026107, doi:10.1103/physreve.65.026107

Abstract

We extend the standard scale-free network model to include a “triad formation step.” We analyze the geometric properties of networks generated by this algorithm both analytically and by numerical calculations, and find that our model possesses the same characteristics as the standard scale-free networks such as the power-law degree distribution and the small average geodesic length, but with the high clustering at the same time. In our model, the clustering coefficient is also shown to be tunable simply by changing a ...

 

Enhancement of cooperation in highly clustered scale-free networks

  [CiTO]
Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Vol. 78, No. 1. (2008), 017101, doi:10.1103/physreve.78.017101
posted to articolo pd by qqwert on 2009-07-08 16:59:16 read

Abstract

We study the effect of clustering on the organization of cooperation by analyzing the evolutionary dynamics of the “Prisoner's Dilemma” on scale-free networks with a tunable value of clustering. We find, on the one hand, that a high value of the clustering coefficient produces an overall enhancement of cooperation in the network, even for a very high temptation to defect. On the other hand, high clustering homogenizes the process of invasion of degree classes by defectors, decreasing the chances of survival ...

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