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Boolean network
Known as:
Kauffman lightbulb experiment
, Boolean
, Random boolean network
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A Boolean network consists of a discrete set of Boolean variables each of which has a Boolean function (possibly different for each variable…
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Related topics
Related topics
13 relations
Adjacency matrix
Biological network inference
Gene regulatory network
Graph dynamical system
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Broader (1)
Bioinformatics
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Technology Dependent Solutions for Buffering Policies of Network on Chip Targeting FPGA Platforms
Liyaqat Nazir
,
R. N. Mir
2016
Corpus ID: 53667537
The communication between processing elements is facing challenges due to power, area, and latency. Temporary storage of flits…
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2016
2016
New Neural Network for Real-Time Human Dynamic Motion Prediction
Mohammad Bataineh
2016
Corpus ID: 108864089
Research in the field of human simulation has led to significant advancement in quality, time, and cost management for products…
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2013
2013
Computational approaches to analyze complex dynamic systems: model-checking and its applications. Part 4: Models and algorithms to analyze large-scale concurrent systems: approaches inspired by pi…
Morgan Magnin
2013
Corpus ID: 61775562
2008
2008
A Dynamical Boolean Network
Genta Ito
arXiv.org
2008
Corpus ID: 3264925
We propose a Dynamical Boolean Network (DBN), which is a Virtual Boolean Network (VBN) whose set of states is fixed but whose…
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2007
2007
Analysis of random Boolean networks using the average sensitivity
Steffen Schober
,
M. Bossert
2007
Corpus ID: 2616259
In this work we consider random Boolean networks that provide a general model for genetic regulatory networks. We extend the…
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2007
2007
DYNAMICS OF RANDOM BOOLEAN NETWORKS
J. Lynch
2007
Corpus ID: 331443
Boolean networks are models of genetic regulatory networks. S. Kauffman based many of his claims about spontaneous self…
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2004
2004
Fine-grain abstraction and sequential do not cares for large scale model checking
Chao Wang
,
G. Hachtel
,
F. Somenzi
IEEE International Conference on Computer Design…
2004
Corpus ID: 2143066
Abstraction refinement is a key technique for applying model checking to the verification of real-world digital systems. In…
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1996
1996
A Comparison between Cellular Encoding and DirectEncoding for Genetic Neural
NetworksFr
,
eric Gruau
,
L. D. Whitley
,
Larry PyeattCWI
1996
Corpus ID: 17511913
This paper compares the eeciency of two encoding schemes for Artiicial Neu-ral Networks optimized by evolutionary algorithms…
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1988
1988
Asynchronous dynamics of random Boolean networks
C. Gotsman
,
E. Shamir
,
D. Lehmann
IEEE International Conference on Neural Networks
1988
Corpus ID: 2631962
A generalization of neural networks called Boolean networks is considered. Random (n,k)-networks consist of n processors, each…
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1988
1988
Don't cares and global flow analysis of Boolean networks
R. Brayton
,
E. Sentovich
,
F. Somenzi
[] IEEE International Conference on Computer…
1988
Corpus ID: 42545022
External, intermediate, and fan-out don't care sets have been used to describe information about network structure required to…
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