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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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Review
2010
Review
2010
The Cornetto database: Semantic issues in linking lexical units and synsets
H. V. D. Vliet
,
E. Maks
,
P. Vossen
,
R. Segers
2010
Corpus ID: 54898480
Cornetto is a lexical semantic database that combines the Dutch Wordnet (Vossen 1998) and the Referentie Bestand Nederlands (Van…
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2009
2009
Reduction of Boolean Networks
Alan Veliz-Cuba
2009
Corpus ID: 2599003
Boolean networks have been successfully used in modelling gene regulatory networks. In this paper we propose a reduction method…
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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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1997
1997
Matching a Boolean Function against a Set of Functions
Uwe Hinsberger
,
Reiner Kolla
1997
Corpus ID: 117990614
A new cultivar of Impatiens sultani plant named Orange Ice, characterized by its orange flower color, its fully double consistent…
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1989
1989
Phoneme classification by boolean networks
R. Rohwer
,
David C. Cressy
EUROSPEECH
1989
Corpus ID: 29928852
The most popular neural network models for use in speech recognition experiments are employ model neurons which apply a nonlinear…
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1989
1989
The Dynamical Behavior of Classifier Systems
John H. Miller
,
S. Forrest
International Conference on Genetic Algorithms
1989
Corpus ID: 16715580
Classifier systems are quite complicated, in terms of both their components and behavior. This complexity is understandable given…
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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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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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