Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networks R Dlugosz, T Talaska, W Pedrycz, R Wojtyna IEEE Transactions on Neural Networks 21 (6), 961-971, 2010 | 77 | 2010 |

Current-mode analog adaptive mechanism for ultra-low-power neural networks R Dlugosz, T Talaska, W Pedrycz IEEE Transactions on Circuits and Systems II: Express Briefs 58 (1), 31-35, 2011 | 45 | 2011 |

Flexible architecture of ultra-low-power current-mode interleaved successive approximation analog-to-digital converter for wireless sensor networks R Długosz, K Iniewski VLSI Design 2007, 2007 | 41 | 2007 |

A programmable triangular neighborhood function for a Kohonen self-organizing map implemented on chip M Kolasa, R Długosz, W Pedrycz, M Szulc Neural Networks 25, 146-160, 2012 | 36 | 2012 |

Parallel programmable asynchronous neighborhood mechanism for Kohonen SOM implemented in CMOS technology R Dlugosz, M Kolasa, W Pedrycz, M Szulc IEEE Transactions on Neural Networks 22 (12), 2091-2104, 2011 | 34 | 2011 |

Low power current-mode binary-tree asynchronous Min/Max circuit RŁ DŁugosz, T Talaśka Microelectronics Journal 41 (1), 64-73, 2010 | 28 | 2010 |

Analog programmable distance calculation circuit for winner takes all neural network realized in the CMOS technology T Talaśka, M Kolasa, R Długosz, W Pedrycz Ieee transactions on neural networks and learning systems 27 (3), 661-673, 2015 | 27 | 2015 |

Ultra low power current-mode algorithmic analog-to-digital converter implemented in 0.18/spl mu/m CMOS technology for wireless sensor network R Dlugosz, K Iniewski Proceedings of the International Conference Mixed Design of Integrated …, 2006 | 23 | 2006 |

Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 μm Technology T Talaśka, R Długosz, W Pedrycz 11th European Symposium on Artificial Neural Networks, 2007 | 21 | 2007 |

Integrated CMOS GSM baseband channel selecting filters realized using switched capacitor finite impulse response technique A Dąbrowski, R Długosz, P Pawłowski Microelectronics Reliability 46 (5-6), 949-958, 2006 | 19 | 2006 |

New binary-tree-based Winner-Takes-All circuit for learning on silicon Kohonen's networks R Długosz, T Talaśka, R Wojtyna International Conference On Signals And Electronic Systems (ICSES), 441-446, 2006 | 18 | 2006 |

The simulation strategy and its realization in the development process of active safety and advanced driver assistance systems P Skruch, R Dlugosz, K Kogut, P Markiewicz, D Sasin, M Różewicz SAE Technical Paper, 2015 | 17 | 2015 |

Current mode analog Kohonen neural network T Talaska, R Dlugosz, R Wojtyna 2007 14th International Conference on Mixed Design of Integrated Circuits …, 2007 | 16* | 2007 |

High-precision analogue peak detector for X-ray imaging applications R Dlugosz, K Iniewski Electronics Letters 43 (8), 440-441, 2007 | 16 | 2007 |

Łukasiewicz fuzzy logic networks and their ultra low power hardware implementation RŁ DŁugosz, W Pedrycz Neurocomputing 73 (7-9), 1222-1234, 2010 | 15 | 2010 |

Experimental Kohonen neural network implemented in CMOS 0.18 μm technology R Dlugosz, T Talaska, J Dalecki, R Wojtyna 2008 15th International Conference on Mixed Design of Integrated Circuits …, 2008 | 14 | 2008 |

CMOS programmable asynchronous neighborhood mechanism for WTM kohonen neural network R Dlugosz, M Kolasa 2008 15th International Conference on Mixed Design of Integrated Circuits …, 2008 | 13 | 2008 |

An FPGA implementation of the asynchronous programmable neighborhood mechanism for WTM self-organizing map R Długosz, M Kolasa, M Szulc Proceedings of the 18th International Conference Mixed Design of Integrated …, 2011 | 12 | 2011 |

Novel techniques for a wireless motion capture system for the monitoring and rehabilitation of disabled persons for application in smart buildings M Banach, A Wasilewska, R Dlugosz, J Pauk Technology and Health Care 26 (S2), 671-677, 2018 | 11 | 2018 |

Initialization mechanism in Kohonen neural network implemented in CMOS technology T Talaśka, R Długosz European Symposium on Artificial Neural Networks (ESANN), 337-342, 2008 | 11 | 2008 |