Information processing in complex networks: Graph entropy and information functionals

2008 ◽  
Vol 201 (1-2) ◽  
pp. 82-94 ◽  
Author(s):  
Matthias Dehmer
2013 ◽  
Vol 2013 ◽  
pp. 1-3 ◽  
Author(s):  
Pantelimon-George Popescu ◽  
Florin Pop ◽  
Alexandru Herişanu ◽  
Nicolae Ţăpuş

We refine a classical logarithmic inequality using a discrete case of Bernoulli inequality, and then we refine furthermore two information inequalities between information measures for graphs, based on information functionals, presented by Dehmer and Mowshowitz in (2010) as Theorems 4.7 and 4.8. The inequalities refer to entropy-based measures of network information content and have a great impact for information processing in complex networks (a subarea of research in modeling of complex systems).


2010 ◽  
Vol 10 (3) ◽  
pp. 26-37 ◽  
Author(s):  
Ali Rad ◽  
Alireza Khadivi ◽  
Martin Hasler

2019 ◽  
Vol 3 (5) ◽  
pp. 517-527 ◽  
Author(s):  
Oliver R. Maguire ◽  
Wilhelm T.S. Huck

The goal of creating a synthetic cell necessitates the development of reaction networks which will underlie all of its behaviours. Recent developments in in vitro systems, based upon both DNA and enzymes, have created networks capable of a range of behaviours e.g. information processing, adaptation and diffusive signalling. These networks are based upon reaction motifs that when combined together produce more complex behaviour. We highlight why it is inevitable that networks, based on enzymes or enzyme-like catalysts, will be required for the construction of a synthetic cell. We outline several of the challenges, including (a) timing, (b) regulation and (c) energy distribution, that must be overcome in order to transition from the simple networks we have today to much more complex networks capable of a variety of behaviours and which could find application one day within a synthetic cell.


2020 ◽  
Vol 16 (9) ◽  
pp. 965-973 ◽  
Author(s):  
Christopher W. Lynn ◽  
Lia Papadopoulos ◽  
Ari E. Kahn ◽  
Danielle S. Bassett

2020 ◽  
Vol 16 (12) ◽  
pp. 1238-1238 ◽  
Author(s):  
Christopher W. Lynn ◽  
Lia Papadopoulos ◽  
Ari E. Kahn ◽  
Danielle S. Bassett

2016 ◽  
Vol 39 ◽  
Author(s):  
Giosuè Baggio ◽  
Carmelo M. Vicario

AbstractWe agree with Christiansen & Chater (C&C) that language processing and acquisition are tightly constrained by the limits of sensory and memory systems. However, the human brain supports a range of cognitive functions that mitigate the effects of information processing bottlenecks. The language system is partly organised around these moderating factors, not just around restrictions on storage and computation.


Sign in / Sign up

Export Citation Format

Share Document