10 Papers
41 Citations
K. Lotz is an academic researcher from Hungarian Academy of Sciences. The author has contributed to research in topics: Cellular neural network & Interaural time difference. The author has an hindex of 5, co-authored 10 publications.
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Papers
The use of CNN models in the subcortical visual pathway
Tamás Roska,J. Hámori,E. Labos,K. Lotz,László Orzó,J. Takács,P.L. Venetianer,Zoltán Vidnyánszky,Ákos Zarándy +8 more
TL;DR: The equivalent notions of neuroanatomy and the cellular neural network (CNN) model are discussed with a view toward studying the visual system and known effects are translated into CNN models to provide a framework for further studies.
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•Book
The use of CNN models in the subcortical visual pathway. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-16-1992)
Tamás Roska,József Hámori,E. Lábos,K. Lotz,László Orzó,J. Takács,P.L. Venetianer,Zoltán Vidnyánszky,Ákos Zarándy +8 more
- 01 Jan 1992
TL;DR: The equivalent notions of neuroanatomy and cellular neural network (CNN) model are discussed with a view toward studying the visual system.
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Some cortical spiking neuron models using CNN
K. Lotz,Zoltán Vidnyánszky,T. Roskar,Joos Vandewalle,J. Hámori,A. Jacobs,F. Werblin +6 more
- 18 Dec 1994
TL;DR: CNN models of neurons with diverse intrinsic firing patterns characterised by diverse spiking patterns and analysis of the rate coding capabilities of the models are presented.
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Hyperacuity in time: a CNN model of a time-coding pathway of sound localization
TL;DR: A new multilayer one-dimensional cellular neural network model of the time-coding pathway of sound localization which is characterized by a massive convergence of different frequency channels to resolve the so-called phase ambiguity problem and shows that with inhibition good results can be achieved here too.
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A cellular neural network model of the time-coding pathway of sound localization-hyperacuity in time
K. Lotz,L. Bilonu,Tamás Roska,J. Hámori +3 more
- 03 Jun 1996
TL;DR: A cellular neural network model of the time-coding pathway of sound localization that solves a "hyperacuity in time" problem and shows that by use of inhibition a group of neurons may be much more sensitive to interaural time difference than one individual neuron.
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