Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Related topics

Related topics

11 relations
Artificial brainBlue Brain ProjectCellular automatonCultured neuronal network

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 real-time communication system with two encoders communicating with a single receiver over separate noisy channels is… 
2009
2009
A Tale of Two Trajectories: How Spatial Data Infrastructures Travel in Time and Space
The notion of a spatial data infrastructure (SDI) was conceived in Canada and the United States in the early 1990s, and has since… 
Review
2007
Review
2007
Spacecraft thermal design with the Generalized Extremal Optimization Algorithm
This article describes an application of the Generalized Extremal Optimization (GEO) algorithm to the inverse design of a… 
2004
2004
A New Encoding for the Degree Constrained Minimum Spanning Tree Problem
We present an effective new encoding method for use by black-box optimisation methods when addressing tree-based combinatorial… 
2003
2003
An Evolutionary Algorithm for Neural Network Learning using Direct Encoding
This paper examines the use of evolutionary algorithms to evolve architectures and connection weights for artificial neural… 
1996
1996
An Evolutionary Method to Find Good Building-Blocks for Architectures of Artificial Neural Networks
Architectures of Arti cial Neural Networks Christoph M. Friedrich University of Witten/Herdecke Inst. for Technology Development… 
1996
1996
CAM-Brain: A New Model for ATR's Cellular Automata Based Artificial Brain Project
This paper introduces a new model for ATR's CAM-Brain Project, which is far more efficient and simpler than the older model. The… 
1995
1995
Evolving Neural Network Structures: An Evaluation of Encoding Techniques
Feed-forward neural network structures, trained with back-propagation, are adapted by the use of the genetic algorithm (GA… 
1994
1994
- 1-Combining Genetic Algorithms and Neural Networks : The Encoding Problem
Neural networks and genetic algorithms demonstrate powerful problem solving ability. They are based on quite simple principles… 
Highly Cited
1987
Highly Cited
1987
Encoding Geometric Invariances in Higher-Order Neural Networks
We describe a method of constructing higher-order neural networks that respond invariantly under geometric transformations on the… 
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)