Topological feature maps with self-organized lateral connections: a population-coded, one-layer model of associative memory

1994 ◽  
Vol 72 (2) ◽  
pp. 103-117 ◽  
Author(s):  
Claus Hillermeier ◽  
Niels Kunstmann ◽  
Bernhard Rabus ◽  
Paul Tavan
Keyword(s):  
Associative Memory ◽  
Topological Feature ◽  
Layer Model ◽  
Feature Maps ◽  
Self Organized

Topological feature maps with self-organized lateral connections: a population-coded, one-layer model of associative memory

1994 ◽  
Vol 72 (2) ◽  
pp. 103-117 ◽  
Author(s):  
Claus Hillermeier ◽  
Niels Kunstmann ◽  
Bernhard Rabus ◽  
Paul Tavan
Keyword(s):  
Associative Memory ◽  
Topological Feature ◽  
Layer Model ◽  
Feature Maps ◽  
Self Organized

Representation of Molecular Electrostatic Potentials by Topological Feature Maps

1994 ◽  
Vol 116 (11) ◽  
pp. 4608-4620 ◽  
Author(s):  
Johann Gasteiger ◽  
Xinzhi Li ◽  
Christine Rudolph ◽  
Jens Sadowski ◽  
Jure Zupan
Keyword(s):  
Electrostatic Potentials ◽  
Topological Feature ◽  
Molecular Electrostatic Potentials ◽  
Feature Maps

scholarly journals A multi-layer model for self-propelled disks interacting through alignment and volume exclusion

2015 ◽  
Vol 25 (13) ◽  
pp. 2439-2475 ◽  
Author(s):  
Pierre Degond ◽  
Laurent Navoret
Keyword(s):  
Sperm Cell ◽  
Macroscopic Model ◽  
Layer Model ◽  
Individual Based Model ◽  
Macroscopic Models ◽  
Numerical Comparisons ◽  
Self Organized ◽  
The Mean ◽  
The Individual ◽  
Cell Collective

We present an individual-based model describing disk-like self-propelled particles moving inside parallel planes. The disk directions of motion follow alignment rules inside each layer. Additionally, the disks are subject to interactions with those of the neighboring layers arising from volume exclusion constraints. These interactions affect the disk inclinations with respect to the plane of motion. We formally derive a macroscopic model composed of planar self-organized hydrodynamic (SOH) models describing the transport of mass and evolution of mean direction of motion of the disks in each plane, supplemented with transport equations for the mean disk inclination. These planar models are coupled due to the interactions with the neighboring planes. Numerical comparisons between the individual-based and macroscopic models are carried out. These models could be applicable, for instance, to describe sperm-cell collective dynamics.

scholarly journals A Hybrid of Self Organized Feature Maps and Parallel Genetic Algorithms for Uncertain Knowledge

2012 ◽  
Vol 60 (6) ◽  
pp. 23-31 ◽  
Author(s):  
Mona Gamal ◽  
Ahmed Abo El-Fatoh ◽  
Shereef Barakat ◽  
Elsayed Radwan
Keyword(s):  
Genetic Algorithms ◽  
Feature Maps ◽  
Parallel Genetic Algorithms ◽  
Self Organized ◽  
Uncertain Knowledge

Phase Transitions in Self-Organized Feature Maps

ICANN ’93 ◽  
1993 ◽  
pp. 597-600
Author(s):  
R. Der ◽  
M. Herrmann
Keyword(s):  
Phase Transitions ◽  
Feature Maps ◽  
Self Organized
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