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Eotvos Lorand University

Neural Information Processing Group

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ELU

Eotvos Lorand University

http://www.elte.hu

b D, Y

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NIPG

Neural Information Processing Group

 CategoryWorking area 
 UniversityMachine learning 

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Research on learning including function approximations, reinforcement learning, information maximization, control, applications such as mixed VLSI design, intelligent human computer interface and modelling of the brain and brain diseases

Department of Information Systems Pazmany Peter setany 1/C

H-1117

 

City

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Budapest

Hungary

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  1. Lorincz, Andras
  1. Head Mouse

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  1. Lorincz, Andras

(not yet available)

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Application areas

 

 

Function approximation,
reinforcement learning,
path planning and control,
modelling of the brain and
brain diseases,
hardware-sorware cosynthesis, image
processing, recognition of face and facial expression

Zsolt Kalmár, Csaba Szepesvári and
András Lorincz
Modul based reinforcement learning: Experimenting with a real robot
Machine Learning, 1998, 31, 55-85.

Zsolt Marczell, Csaba Szepesvári,
Zsolt Kalmár, and András Lorincz
Parallel and robust skeletonization built from self-organizing elements
Neural Networks, 1999, 12, 163-173.

János Körmendy-Rácz, Szabolcs Szabó,
József Lörincz, György Antal,
Gyula Kovács, and András Lörincz
Winner-take-all network utilizing pseudoinverse reconstruction subnets demonstrates robustness on the handprinted character recognition problem
Neural Computing and Applications, 8:163-176, 1999

Csaba Szepesvári and András Lorincz
Integrated architecture for motion control and path planning
J. Robotic Systems 1998, 15, 1-15.

A. Lorincz
Forming independent components via temporal locking of reconstruction architectures: A functional model of the hippocampus
Biological Cybernetics, 1998, 79, 263-275.

András Lörincz and György Buzsáki
Computational model of the entorhinal-hippocampal loop derived from a single principle
In: Proceedings of IJCNN ,Washington, July 9-16, 1999, JCNN2136.PDF
IEEE Catalog Number: 99CH36339C
ISBN: 0-7803-5532-6

Péter Aszalós, Szabolcs Kéri,
Gyula Kovács, György Benedek,
Zoltán Janka, and András Lörincz
Generative network explains category formation in Alzheimer patients
In: Proceedings of IJCNN ,Washington, July 9-16, 1999, JCNN2137.PDF
IEEE Catalog Number: 99CH36339C,
ISBN: 0-7803-5532-6

Miklós Oláh. Sándor Török,
András Poppe, Péter Masa,
and András Lörincz
Design and evaluation of a grassfire skeletonization chip
In: Proceedings of Conf. MIXDES99 , Poland, July, 1999

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