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D-Index & Metrics

Computer Science

D-Index
31
Citations
7991
World Ranking
13366
National Ranking
11

Overview

Tamás Roska was affiliated with the Hungarian Academy of Sciences in Hungary. Their scientific career involved research activities connected to this primary institution.

Throughout their career, Tamás Roska contributed to academic research, although no specific papers, coauthors, publication venues, fields of study, or main topics of work have been documented in the available data.

Details regarding book publications, awards, or particular fields and subfields of study related to their research were not recorded or accessible from the source information provided.

This profile reflects the data available and remains focused on the factual elements relating to Tamás Roska's academic affiliation and biographical status as deceased.

Best Publications

  • The CNN paradigm

    L.O. Chua;T. Roska

  • The CNN universal machine: an analogic array computer

    T. Roska;L.O. Chua

  • Cellular Neural Networks and Visual Computing: Foundations and Applications

    Leon O. Chua;Tamás Roska

  • Cellular neural networks with non-linear and delay-type template elements and non-uniform grids

    Tamás Roska;Leon O. Chua

  • Neural Synaptic Weighting With a Pulse-Based Memristor Circuit

    Hyongsuk Kim;Maheshwar Sah;Changju Yang;Tamás Roska

  • Cellular Neural Networks and Visual Computing

    Leon O. Chua;Tamas Roska

  • Memristor Bridge Synapses

    Hyongsuk Kim;M. P. Sah;Changju Yang;T. Roska

  • Stability and dynamics of delay-type general and cellular neural networks

    T. Roska;C.W. Wu;M. Balsi;L.O. Chua

  • Stability of a class of nonreciprocal cellular neural networks

    L.O. Chua;T. Roska

  • The analogic cellular neural network as a bionic eye

    Frank S. Werblin;Tamás Roska;Leon O. Chua

  • Cellular neural networks with nonlinear and delay-type template elements

    T. Roska;L.O. Chua

  • Genetic algorithm for CNN template learning

    T. Kozek;T. Roska;L.O. Chua

  • Stability of cellular neural networks with dominant nonlinear and delay-type templates

    T. Roska;C.W. Wu;L.O. Chua

  • Detecting simple motion using cellular neural networks

    T. Roska;T. Boros;P. Thiran;L.O. Chua

  • Image compression by cellular neural networks

    P.L. Venetianter;T. Roska

  • Image halftoning with cellular neural networks

    K.R. Crounse;T. Roska;L.O. Chua

  • Simulating nonlinear waves and partial differential equations via CNN. II. Typical examples

    T. Kozek;L.O. Chua;T. Roska;D. Wolf

  • Analogic CNN algorithms for some image compression and restoration tasks

    P.L. Venetianer;F. Werblin;T. Roska;L.O. Chua

  • The use of CNN models in the subcortical visual pathway

    T. Roska;J. Hamori;E. Labos;K. Lotz

  • The CNN universal machine

    T. Roska

  • A fast, complex and efficient test implementation of the CNN Universal Machine

    J.M. Cruz;L.O. Chua;T. Roska

  • COMPUTATIONAL AND COMPUTER COMPLEXITY OF ANALOGIC CELLULAR WAVE COMPUTERS

    Tamás Roska

  • Toward visual microprocessors

    T. Roska;A. Rodriguez-Vazquez

  • The CNN is universal as the Turing machine

    L.O. Chua;T. Roska;P.L. Venetianer

  • The computational infrastructure of analogic CNN computing. I. The CNN-UM chip prototyping system

    T. Roska;A. Zarandy;S. Zold;P. Foldesy

  • Design of linear cellular neural networks for motion sensitive filtering

    B.E. Shi;T. Roska;L.O. Chua

  • Implementation of binary and gray-scale mathematical morphology on the CNN universal machine

    A. Zarandy;A. Stoffels;T. Roska;L.O. Chua

  • VLSI implementation of a reconfigurable cellular neural network containing local logic (CNNL)

    K. Halonen;V. Porra;T. Roska;L. Chua

  • CNN software library (Templates and algorithms.) Version 7.2

    T Roska;L Kék;L Nemes;Á Zarándy

  • Image compression by cellular neural networks

    Peter L. Venetianer;Tamas Roska

Frequent Co-Authors

Leon O. Chua
Leon O. Chua University of California, Berkeley
Frank S. Werblin
Frank S. Werblin University of California, Berkeley
Wolfgang Porod
Wolfgang Porod University of Notre Dame
Zoltán Vidnyánszky
Zoltán Vidnyánszky University of Vienna
Ángel Rodríguez-Vázquez
Ángel Rodríguez-Vázquez University of Seville
Gary H. Bernstein
Gary H. Bernstein University of Notre Dame
Botond Roska
Botond Roska University of Basel
Géza Tóth
Géza Tóth University of the Basque Country
Patrick Fay
Patrick Fay University of Notre Dame

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Best Scientists Citing Tamás Roska