Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 227,155,752 papers from all fields of science
Search
Sign In
Create Free Account
CoDi
Known as:
CoDi Cellular Automata
CoDi is a cellular automaton (CA) model for spiking neural networks (SNNs). CoDi is an acronym for Collect and Distribute, referring to the signals…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
11 relations
Artificial brain
Blue Brain Project
Cellular automaton
Cultured neuronal network
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
On the Structure of Real-Time Encoding and Decoding Functions in a Multiterminal Communication System
A. Nayyar
,
D. Teneketzis
IEEE Transactions on Information Theory
2011
Corpus ID: 18886026
A real-time communication system with two encoders communicating with a single receiver over separate noisy channels is…
Expand
2009
2009
A Tale of Two Trajectories: How Spatial Data Infrastructures Travel in Time and Space
V. Homburg
,
Y. Georgiadou
The Information Society
2009
Corpus ID: 2561328
The notion of a spatial data infrastructure (SDI) was conceived in Canada and the United States in the early 1990s, and has since…
Expand
Review
2007
Review
2007
Spacecraft thermal design with the Generalized Extremal Optimization Algorithm
R. Galski
,
F. D. de Sousa
,
F. Ramos
,
Issamu Muraoka
2007
Corpus ID: 18205106
This article describes an application of the Generalized Extremal Optimization (GEO) algorithm to the inverse design of a…
Expand
2004
2004
A New Encoding for the Degree Constrained Minimum Spanning Tree Problem
Sang-Moon Soak
,
D. Corne
,
B. Ahn
International Conference on Knowledge-Based…
2004
Corpus ID: 10451655
We present an effective new encoding method for use by black-box optimisation methods when addressing tree-based combinatorial…
Expand
2003
2003
An Evolutionary Algorithm for Neural Network Learning using Direct Encoding
Paul Batchis
2003
Corpus ID: 5716158
This paper examines the use of evolutionary algorithms to evolve architectures and connection weights for artificial neural…
Expand
1996
1996
An Evolutionary Method to Find Good Building-Blocks for Architectures of Artificial Neural Networks
C. Friedrich
,
C. Moraga
1996
Corpus ID: 17423933
Architectures of Arti cial Neural Networks Christoph M. Friedrich University of Witten/Herdecke Inst. for Technology Development…
Expand
1996
1996
CAM-Brain: A New Model for ATR's Cellular Automata Based Artificial Brain Project
Felix Alexander Gers
,
H. D. Garis
International Conference on Evolvable Systems
1996
Corpus ID: 2183773
This paper introduces a new model for ATR's CAM-Brain Project, which is far more efficient and simpler than the older model. The…
Expand
1995
1995
Evolving Neural Network Structures: An Evaluation of Encoding Techniques
Stephen G. Roberts
,
M. Turega
International Conference on Adaptive and Natural…
1995
Corpus ID: 61489214
Feed-forward neural network structures, trained with back-propagation, are adapted by the use of the genetic algorithm (GA…
Expand
1994
1994
- 1-Combining Genetic Algorithms and Neural Networks : The Encoding Problem
Philipp Koehn
1994
Corpus ID: 16742933
Neural networks and genetic algorithms demonstrate powerful problem solving ability. They are based on quite simple principles…
Expand
Highly Cited
1987
Highly Cited
1987
Encoding Geometric Invariances in Higher-Order Neural Networks
C. Lee Giles
,
R. D. Griffin
,
T. Maxwell
Neural Information Processing Systems
1987
Corpus ID: 6595365
We describe a method of constructing higher-order neural networks that respond invariantly under geometric transformations on the…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE