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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Z. Kincses Z. Nagy P. Szolgay Department of Image Processing and Neurocomputing University of Pannonia Veszprém Hungary Analogic and Neural Computing Laboratory Computer and Automation Institute of HAS Budapest Hungary

In the original CNN paradigm template values are defined as constants but several complex tasks can be efficiently solved by using nonlinear weights between the CNN cells. Unfortunately programmable nonlinear weights can not be implemented by using present day analog VLSI technology. In this paper a new emulated digital CNN-UM architecture will be presented which makes it possible to use zero and first order nonlinear templates during emulation. The new architecture is based on the Falcon emulated digital CNN-UM architecture and implemented on FPGAs. The computing precision of the architecture is configurable and the area/speed/accuracy tradeoffs are investigated

关键词： Field programmable gate arrays Cellular neural networks Gray-scale Very large scale integration computer architecture Image processing Detectors Emulation Hamming distance Application software

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An embedded CNN-UM Global analogic Programming Unit implementation on FPGA

An embedded CNN-UM Global Analogic Programming Unit implemen...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Zsolt Voroshazi Zoltan Nagy Andras Kiss Peter Szolgay Departrnent of Image Processing Neurocomputing University of Pannonia Veszprém Hungary Analogic and Neural Computing Laboratory Computer and Automation Institute of HAS Budapest Hungary

In this paper the implementation of an embedded GAPU (global analogic programming unit) on the reconfigurable emulated digital CNN-UM architecture will be presented. It has been extended by a Xilinx MicroBlaze soft processor core to take full advantage of the joint computing power of high speed distributed arithmetics and programmability. The basic guidelines are presented considering the design of embedded GAPU with special regards to speed, programming flexibility and minimal additional cost in area

关键词： Field programmable gate arrays computer architecture Cellular neural networks Application software computer networks Electronic mail Distributed computing Arithmetic Costs Concurrent computing

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Acoustic wvave propagation modeling on 3D CNN-UM architecture

Acoustic wvave propagation modeling on 3D CNN-UM architectur...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： P. Sonkoly P. Kozma Z. Nagy P. Szolgay Department of Image Processing and Neurocomputing University of Pannonia Veszprém Hungary Analogic and Neural Computing Laboratory Computer and Automation Institute of HAS Budapest Hungary

Solution of partial differential equations (PDE) has long been one of the most important fields of mathematics. Several previous studies proved the effectiveness of the CNN-UM solution for partial differential equations in two dimensions. This paper works with the 3D acoustic wave equation which describes the pressure wave propagation in fluid medium. This three-dimensional PDE can be solved also with 3D CNN-UM and multilayer 2D CNN-UM architecture. Unfortunately the huge number of space-dependent equations and the low computational precision do not make it possible to utilize the huge computing power of the analogue CNN-UM chips so the Falcon emulated digital CNN-UM architecture is used to implement our solution

关键词： Acoustic propagation Partial differential equations Acoustic waves Electronic mail computer networks computer architecture Analog computers Very large scale integration Differential equations Cellular neural networks

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Configurable multi-layer CNN-UM emulator on FPGA

Configurable multi-layer CNN-UM emulator on FPGA

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Z. Nagy P. Szolgay Department of lmage Processing and Neurocomputing University of Veszprém Veszprem Hungary Analogic and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary

A new emulated digital multi-layer CNN-UM chip architecture called Falcon has been developed. In this paper the main steps of the FPGA implementation are introduced. Main results are as follows: CNN-UM architecture emulated on Xilinx Virtex series FPGA, 3D non-linear spatio-temporal dynamics can be implemented on this architecture. The critical parameters of the implementation in single layer configuration are 55 million cell update/second/processor core or equivalently 1 GOPS computing performance. In face of the high performance the power requirements of the architecture are relatively low only /spl sim/3 W per processor core. Using re-configurable devices to implement emulated digital architectures provides more flexibility compared to the custom VLSI designs because different Falcon architectures can be used on the same FPGA device.

关键词： Field programmable gate arrays Cellular neural networks Equations computer architecture Very large scale integration Signal processing Analog computers State feedback Laboratories Turing machines

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An analogic CNN engine board with the 64/spl times/64 analog I/O CNN-UM chip

An analogic CNN engine board with the 64/spl times/64 analog...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： I. Szatmari A. Zarandy P. Foldesy L. Kek Analogical and Neural Computing Laboratory of the Computer Automation Research Institute of the Hungarian Academy of Science Budapest Hungary

A computational framework was built around the new 64/spl times/64 CNN Universal Chip designed in Seville. It makes possible the systematic functional test of the new complex chip, analogic CNN algorithm development and testing. Using this complex software-hardware system as a vehicle, the full algorithmic capabilities of the CNN technology can be demonstrated, which opens the gate to industrial and commercial applications.

关键词： Cellular neural networks Engines System testing Microprocessors Analog computers CMOS process Image processing Prototypes Laboratories Design automation

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The CNN Universal Machine part 2: Programmability and applications 2

The CNN Universal Machine part 2: Programmability and applic...

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2nd International Workshop on Cellular neural Networks and their Applications, CNNA 1992

作者： Roska, Tamás Chua, Leon O. Electronics Research Laboratory Department of Electrical Engineering and Computer Science University of California at Berkeley BerkeleyCA94720 United States Dual and Neural Computing Systems Laboratory Computer and Automation Institute of the Hungarian Academy of Sciences Kende-u.13/17 BudapestH-1111 Hungary

ISBN: (纸本)0780308751

The programmability (as a stored program) of the CNN Universal Machine is discussed first. It is shown why and in which sense this machine is universal. A new type of algorithm, the analogic one, is introduced. The application potential is reviewed and the biological relevance is analyzed. It turns out that the architecture is optimal not only for silicon implementations, however, many biological information processing organs have the same structure. © 1992 IEEE.

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The CNN Universal Machine part 1: The architecture 2

The CNN Universal Machine part 1: The architecture

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2nd International Workshop on Cellular neural Networks and their Applications, CNNA 1992

作者： Chua, Leon O. Roska, Tamás Electronics Research Laboratory Department of Electrical Engineering and Computer Science University of California at Berkeley BerkeleyCA94720 United States Dual and Neural Computing Systems Laboratory in the Computer and Automation Institute of the Hungarian Academy of Sciences Kende-u.13/17 BudapestH-1111 Hungary

ISBN: (纸本)0780308751

Various types of CNNs are summarized and the taxonomy of CNN is given according to the different types of grids, processors, interactions, and modes of operation. Next, the CNN Universal Machine is introduced. The architecture and the key features are outlined. A quite exhaustive list of references completes the paper. © 1992 IEEE.

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Elastic Grid Based Analysis of Motion Field for Object-Motion Detection in Airborne Video Flows

Elastic Grid Based Analysis of Motion Field for Object-Motio...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Gergely Balazs Soos Csaba Rekeczky Faculty of Information Technology Pázmány Péter Catholic University Budapest Hungary Analogic and Neural Computing Systems Laboratory Computer and Automation Research Institute Budapest Hungary

The visual navigation system of a UAV is a complex embedded device designed to modify the path of the platform depending on objects or events detected on the ground. In the visual field of the autopilot these events could be formalized as specific space-time signatures. Processing all pixels captured by the on-board camera(s) in real time with high frame rate needs huge computational effort that is often unnecessary. An adequate computational strategy would focus on the interesting locations only as in the visual system of various species. In this article we describe an automatic focusing mechanism relying on optical flow calculation for detecting moving objects on the ground, thus efficiently separating the motion of interest from ego-motion of the platform.

关键词： Motion analysis Motion detection Object detection Event detection Unmanned aerial vehicles Navigation Cameras Image motion analysis Animals Floods

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Analysis of Multidimensional neural Activity Via CNN-UM

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International Journal of neural Systems 2003年第6期13卷 479-487页

作者： Gal, Viktor Grun, Sonja Tetzlaff, Ronald Analogical and Neural Computing Laboratory Hungarian Academy of Sciences Computer Automation Research Institute Ldgymdnyosi u. 13 BudapestH-1111 Hungary Dept. Neurophysiology Max Planck Inst for Brain Research Deutschordnerstr. 46 Frankfurt/MainD-60528 Germany Institute for Applied Physics University of Frankfurt Robert-Mayer-Str. 2-4 Frankfurt/MainD-60325 Germany

In this paper we show that the Cellular Nonlinear Network Universal Machine (CNN-UM) is an excellent tool for analyzing time series of multidimensional binary signals. The developed algorithm is dedicated to process electrophysiological multi-neuron recordings: our aim is to find specific multidimensional activity patterns, which may reflect higher order functional cell-assemblies. The analysis consists of two parts: first, the occurrences of different patterns are counted, then the statistical significance of each occurrence frequency is calculated separately. © 2003 World Scientific Publishing Company.

关键词： Electrophysiology

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Elastic wave propagation modeling on emulated digital CNN-UM architecture

Elastic wave propagation modeling on emulated digital CNN-UM...

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9th IEEE International Workshop on Cellular neural Networks and their Applications, CNNA

作者： Kozma, Péter Sonkoly, Péter Szolgay, Péter Department of Image Processing and Neurocomputing University of Veszprém Egyetem u. 10 H-8200 Veszprém Hungary Department of Image Processing and Neurocomputing University of Veszprém Analogic and Neural Computing Laboratory Computer and Automation Institute HAS Kende u. 13-17 H-1111 Budapest Hungary

The synthetic seismogram has seen many years of widespread and successful application in geophysical prospecting. It is used to simulate the normal incidence reflectivity of a heterogeneous medium and has been employed more recently to obtain the responses of subsurface structural and stratigraphic configurations. The propagation of seismic waves has to be modeled to create synthetic seismograms. The solution of the partial differential equations of motion describing the propagation of stress waves in an elastic medium requires enormous computation power. In this paper a solution of seismic wave propagation will be presented on CNN-UM architecture. Unfortunately the space-dependent equations and the low computational precision do not make it possible to utilize the huge computing power of the analog CNN-UM chips so the Falcon emulated digital CNN-UM architecture is used to implement our solution.

关键词： Cellular neural networks

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