Algis Garliauskas

17 papers B 3Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2013 J jnl
Mean Field Modeling of the FitzHugh-Nagumo Neuronal Network Model with Kernel Functions and Time-Delayed Couplings.
Informatica
Algis Garliauskas
2010 J jnl
An Expansion of the Neural Network Theory by Introducing Hebb Postulate.
Informatica
Algis Garliauskas
2009 J jnl
Embedded Patterns, Indirect Couplings with Randomness, and Memory Capacity in Neural Networks.
Informatica
Algis Garliauskas
2008 J jnl
The Immune Network System with Chaotic Behavior.
Informatica
Algis Garliauskas
2007 J jnl
Information Conveyed by the Neural Network Systems and its Applied Significance.
Informatica
Algis Garliauskas
2005 J jnl
An Influence of Nonlinearities to Storage Capacity of Neural Networks.
Informatica
Algis Garliauskas
2004 J jnl
Conceptions and Modeling for Transmitted Information Evaluation by ANN.
Informatica
Algis Garliauskas
2003 J jnl
Artificial Neural Networks Models with Fuzziness and Chaos Phenomena.
Informatica
Algis Garliauskas
2003 J jnl
Self-organized topological structures in neural networks for the visual cortex of the brain.
Neurocomputing
Algis Garliauskas
2001 B conf
Fuzzy and Chaotic Neuro-Network Modeling.
FUZZ-IEEE
Algis Garliauskas
2001 J jnl
The visual cortex modeling by the hexagonal topology.
Neurocomputing
Algis Garliauskas
2000 J jnl
Hexagonal Approach and Modeling for the Visual Cortex.
Informatica
Algis Garliauskas, Alvydas Soliunas
1999 B conf
Chaos in neural networks with bistable dendrite membrane current-voltage relation.
IJCNN
Algis Garliauskas
1998 B conf
Control Distributed Parameter Systems with Neural Network Based on Orthogonality.
ICONIP
Algis Garliauskas
1998 J jnl
Learning and Recognition of Visual Patterns by Human Subjects and Artificial Intelligence Systems.
Informatica
Algis Garliauskas, Alvydas Soliunas
1998 J jnl
Numerical Simulation of Dynamic Synapse-Dendrite-Soma Neuronal Processes.
Informatica
Algis Garliauskas
1996 — conf
Adaptive Control Distributed Parameter Systems by Recurrent Multi-Layer Neural Networks.
ESM
Algis Garliauskas, Madan M. Gupta