Monday, October 19, 2015 - 9:00am - 9:50am
Ali Jadbabaie (University of Pennsylvania)
We present an axiomatic foundation for non-Bayesian social learning rules in networks, unifying and generalizing distributed learning updates that have been developed in the literature that combine Bayesian and DeGroot-style (consensus) updates. We show that any learning rule that satisfies general axioms of label neutrality, independence of irrelevance alternatives, history neglect, monotonicity, and unanimity will result in bounded rational updates that result in learning in strongly connected networks.
Friday, December 13, 2013 - 10:15am - 11:05am
Hiroshi Kokubu (Kyoto University)
Complex network structure frequently appear in biological systems such as gene regulatory networks, circadian rhythm models, signal transduction circuits, etc.
Wednesday, October 26, 2011 - 10:30am - 11:30am
Robert Calderbank (Duke University)
We consider a framework for full-duplex communication in ad-hoc wireless networks recently proposed by Dongning Guo. An individual node in the wireless network either transmits or it listens to transmissions from other nodes but it cannot to both at the same time. There might be as many nodes as there are 48 bit MAC addresses but we assume that only a small subset of nodes contribute to the superposition received at any given node in the network.
Tuesday, July 15, 2008 - 2:00pm - 2:10pm
Henrik van Lengerich (Cornell University)
A practical consequence of the breakup of a liquid jet by the
pinch-off singularity is the redistribution of volume. To the extent
that volume concentrates into drops in the streamwise direction,
pinch-off can lead to coarsening. The fundamental redistribution of
volume by surface tension can be understood in the absence of
pinch-off, however. We pose a simple model for the coarsening of
connected spherical-cap drops in the absence of pinch-off. Our study
shows that many properties of this simple model hold true for a
Monday, May 12, 2008 - 3:15pm - 3:45pm
Gheorghe Craciun (University of Wisconsin, Madison)
Local and global stability of biochemical reaction network
Gheorghe Craciun
Modern biological research provides countless examples of
biochemical interaction networks. For example, at the
level, the nodes of these interaction networks could be
molecules, genes, and gene products. In order to
understand the
role played by some of these interactions one often faces
difficulties in trying to interpret the effect of positive
Thursday, April 24, 2008 - 9:30am - 10:10am
Dmitri Chklovskii (Cold Spring Harbor Laboratory)
The human brain is a network containing a hundred billion neurons, each communicating with several thousand others. As the wiring for neuronal communication draws on limited space and energy resources, evolution had to optimize their use. This principle of minimizing wiring costs explains many features of brain architecture, including placement and shape of many neurons. However, the shape of some neurons and their synaptic properties remained unexplained.
Monday, June 16, 2008 - 8:45am - 9:00am
No Abstract
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