Proceedings of CNNA-94 available

Fri Jan 13 03:13:26 EST 1995

PROCEEDINGS OF CNNA-94 AVAILABLE

A limited number of copies of the Proceedings of the Third IEEE International
Workshop on Cellular Neural Networks and their Applications (CNNA-94), held
in Rome, Italy, Dec. 18-21, 1994 is available for purchasing by attendants and
authors.
Price is Itl. 50,000. 
The book will be sent by air mail upon receipt of payment, or of a copy of
your order of payment.
Please add the following charges for postal expenses:
Italy: Itl. 6,200
Europe: Itl. 10,000
Mediterranean: Itl. 10,900
Americas and Asia: Itl. 18,100
Australia: Itl. 24,400
To order a copy, please send payment including mailing
charges and bank taxes according to one of the following procedures:
1) Italian personal cheque (payable to Prof. V. Cimagalli, sent by 
"Assicurata")   
2) Eurocheque, or international cheque drawn on an Italian bank, in Italian 
lire, payable to Prof. V. Cimagalli (please add Itl. 7,500 for bank expenses)
3) Bank transfer to Banca di Roma, ag. 158, via Eudossiana, 18 Roma, Italy
I-00184; bank codes: ABI 3002-3, CAB 03380-3; account no. 503/34, payable
to: "Sezione Italia Centro-Sud dell'IEEE - CNNA'94", stating clearly your 
name and reason for payment (please add Itl. 22,000 for bank expenses).

For further information, do not hesitate to contact us.
Sincerely,
		M. Balsi
		Organizing Committee, CNNA-94

CNNA-94
Dipartimento di Ingegneria Elettronica
via Eudossiana, 18
Rome, Italy I-00184
fax: +39-6-4742647
e-mail: cnna at tce.ing.uniroma1.it

TABLE OF CONTENTS

Inaugural lecture:
L.O. Chua
The CNN Universal Chip: Dawn of a New Computer Paradigm		1

Invited review paper:
T. Roska
Analogic Algorithms Running on the CNN Universal Machine		3

G. Yang, T. Yang, L.-B. Yang
On Unconditional Stability of the General Delayed Cellular Neural 
Networks 		9

S. Arik, V. Tavsanoglu
A Weaker Condition for the Stability of Nonsymmetric CNNs		15

M. P. Joy, V. Tavsanoglu
Circulant Matrices and the Stability Theory of CNNs		21

B.E. Shi, S. Wendsche, T. Roska, L.O. Chua
Random Variations in CNN Templates: Theoretical Models and Empirical 
Studies		27

Invited lecture:
F. Werblin, A. Jacobs 
Using CNN to Unravel Space-Time Processing in the Vertebrate Retina	
	33

K. Lotz, Z. Vidnynszky, T. Roska, J. Vandewalle, J. Hmori, A. Jacobs, 
F. Werblin
Some Cortical Spiking Neuron Models Using CNN		41

T.W. Berger, B.J. Sheu, R. H.-J. Tsai
Analog  VLSI Implementation of a Nonlinear Systems Model of  the 
Hippocampal 
Brain Region		47

A. Jacobs, T. Roska, F. Werblin
Techniques for Constructing Physiologically Motivated Neuromorphic Models 
in CNN	53
Invited review paper:
A. Rodrguez-Vzquez, R. Domnguez-Castro, S. Espejo
Design of CNN Universal Chips: Trends and Obstacles		59

J.M. Cruz, L.O. Chua, T. Roska
A Fast, Complex and Efficient Test Implementation of the CNN Universal 
Machine		61

F. Sargeni, V. Bonaiuto
High Performance Digitally Programmable CNN Chip with Discrete Templates
		67

A. Paasio, A. Dawidziuk, K. Halonen, V. Porra
Digitally Controllable Weights in Current Mode Cellular Neural Networks	
	73

D. Lm, G.S. Moschytz
A Programmable, Modular CNN Cell 		79

M.-D. Doan, R. Chakrabaty, M. Heidenreich, M. Glesner, S. Cheung
Realisation of a Digital Cellular Neural Network for Image Processing	
	85

R. Domnguez-Castro, S. Espejo, A. Rodrguez-Vzquez, R. Carmona
A CNN Universal Chip in CMOS Technology		91

E. Pessa, M.P. Penna
Local and Global Connectivity in Neuronic Cellular Automata		97

X.-Z. Huang, T. Yang, L.-B. Yang
On Stability of the Time-Variant Delayed Cellular Neural Networks	
	103

J.J. Szczyrek, S. Jankowski
A Class of Asymmetrical Templates in Cellular Neural Networks		109

P.P. Civalleri, M. Gilli
A Topological description of the State Space of a Cellular Neural Network
		115

M. Tanaka, T. Watanabe
Cooperative and Competitive Cellular Neural Networks		121

Invited review paper:
P. Thiran, M. Hasler
Information Processing Using Stable and Unstable Oscillations: A Tutorial
		127

Invited review paper:
J.A. Nossek
Design and Learning with Cellular Neural Networks		137
I. Fajfar, F. Bratkovic
Statistical Design Using Variable Parameter Variances and Application to 
Cellular 
Neural Networks		147

N.N. Aizenberg, I.N. Aizenberg
CNN-like Networks Based on Multi-Valued and Universal Binary Neurons: 
Learning 
and Application to Image Processing		153

W. Utschick, J.A. Nossek
Computational Learning Theory Applied to Discrete-Time Cellular Neural 
Networks	159

H. Magnussen, J.A. Nossek
Global Learning Algorithms for Discrete-Time Cellular Neural Networks	
	165

H. Magnussen, G. Papoutsis, J.A. Nossek
Continuation-Based Learning Algorithm for Discrete-Time Cellular Neural 
Networks	171

C. Gzelis, S. Karamahmut
Recurrent Perceptron Learning Algorithm for Completely Stable Cellular 
Neural Networks	177

A.J. Schuler, M. Brabec, D. Schubel, J.A. Nossek
Hardware-Oriented Learning for Cellular Neural Networks		183

F. Dellaert, J. Vandewalle
Automatic Design of Cellular Neural Networks by Means of Genetic 
Algorithms: Finding a 
Feature Detector		189

H. Mizutani
A New Learning Method for Multilayered Cellular Neural Networks	
	195

H. Harrer, P.L. Venetianer, J.A. Nossek, T. Roska, L.O. Chua 
Some Examples of Preprocessing Analog Images with Discrete-Time Cellular 
Neural 
Networks		201

N.N. Aizenberg, I.N. Aizenberg, T.P. Belikova
Extraction and Localization of Important Features on Grey-Scale Images: 
Implementation
 on the CNN 		207

K. Slot
Large-Neighborhood Templates Implementation in Discrete-Time CNN 
Universal 
Machine with a Nearest-Neighbor Connection Pattern		213

J. Pineda de Gyvez
XCNN: A Software Package for Color Image Processing		219

M. Balsi, N. Racina
Automatic Recognition of Train Tail Signs Using CNNs		225

A.G. Radvnyi
Solution of Stereo Correspondence in Real Scene: an Analogic CNN 
Algorithm		231

J.P. Miller,  K.R. Crounse, T. Sziranyi,  L. Nemes,  L.O. Chua, T. Roska
Deblurring of Images by Cellular Neural Networks with Applications to 
Microscopy		237

A. Kellner, H. Magnussen, J.A. Nossek
Texture Classification, Texture Segmentation and Text Segmentation with 
Discrete-
Time Cellular Neural Networks		243

P.L. Venetianer, P. Szolgay, K.R. Crounse, T. Roska, L.O. Chua
Analog Combinatorics and Cellular Automata-Key Algorithms and Layout 
Design		249

 Zarndy, T. Roska, Gy. Liszka, J. Hegyesi, L. Kk, Cs. Rekeczky
Design of Analogic CNN Algorithms for Mammogram Analysis		255

P. Szolgay, Gy. Erss, A. Katona, . Kiss
An Experimental System for Path Tracking of a Robot Using a 16*16 
Connected 
Component Detector CNN Chip with Direct Optical Input		261

T. Kozek, T. Roska
A Double Time-Scale CNN for Solving 2-D Navier-Stokes Equations	
	267

 Zarndy, F. Werblin, T. Roska, L.O. Chua
Novel Types of Analogic CNN Algorithms for Recognizing Bank-Notes	
	273

B.J. Sheu, Sa H. Bang, W.-C. Fang
Optimal Solutions of Selected Cellular Neural Network Applications by the 
Hardware 
Annealing Method		279

B. Siemiatkowska
Cellular Neural Network for Mobile Robot Navigation		285

A. Murgu
Distributed Neural Control for Markov Decision Processes in 
HierarchicCommunication 
Networks		291

C.-M. Yang, T. Yang, K.-Y. Zhang
Chaos in Discrete Time Cellular Neural Networks		297

R. Dogaru, A.T. Murgan, D. Ioan
Robust Oscillations and Bifurcations in Cellular Neural Networks	
	303

H. Chen, M.-D. Dai, X.-Y. Wu
Bifurcation and Chaos in Discrete-Time Cellular Neural Networks	
	309

M.J. Ogorzalek, A. Dabrowski, W. Dabrowski
Hyperchaos, Clustering and Cooperative Phenomena in CNN Arrays Composedof 
Chaotic 
Circuits		315

P. Szolgay, G. Vrs
Transient Response Computation of a Mechanical Vibrating System Using 
Cellular 
Neural Networks		321

P.P. Civalleri, M. Gilli
Propagation Phenomena in Cellular Neural Networks		327

S. Jankowski, R. Wanczuk   
CNN models of complex pattern formation in excitable media		333

S. Jankowski, A. Londei,  C. Mazur, A. Lozowski 
Synchronization Phenomena in 2D Chaotic CNN		339

Z. Galias, J.A. Nossek
Control of a Real Chaotic Cellular Neural Network		345

A. Piovaccari, G. Setti
A Versatile CMOS Building Block for Fully Analogically-ProgrammableVLSI 
Cellular Neural Networks		347

P. Thiran, G. Setti
An Approach to Local Diffusion and Global Propagation in 1-dim. Cellular 
Neural 
Networks		349

J. Kowalski, K. Slot, T. Kacprzak
A CMOS Current-Mode VLSI Implementation of Cellular Neural Network for an 
Image 
Objects Area Estimation		351

W.J. Jansen, R. van Drunen, L. Spaanenburg, J.A.G. Nijhuis
The AD2 Microcontroller Extension for Artificial Neural Networks	
	353

C.-K. Pham, M. Tanaka
A Novel Chaos Generator Employing CMOS Inverter for Cellular Neural 
Networks	355

R. Beccherelli, G. de Cesare, F. Palma
Towards an Hydrogenated Amorphous Silicon Phototransistor Cellular Neural 
Network		357
A. Sani, S. Graffi, G. Masetti, G. Setti
Design of CMOS Cellular Neural Networks Operating at Several Supply 
Voltages		363

M. Russell Grimaila, J. Pineda de Gyvez
A Macromodel Fault Generator for Cellular Neural Networks		369

T. Roska, P. Szolgay, . Zarndy, P.L. Venetianer, A. Radvnyi, T. 
Szirnyi
On a CNN Chip-Prototyping System		375

P. Kinget, M. Steyaert
Evaluation of CNN Template Robustness Towards VLSI Implementation	
	381

B.J. Sheu, Sa H. Bang, W.-C. Fang
Analog VLSI Design of Cellular Neural Networks with Annealing Ability	
	387

L. Raffo, S.P. Sabatini, G.M. Bisio
A Reconfigurable Architecture Mapping Multilayer CNN Paradigms	
	393

M. Balsi, V. Cimagalli, I. Ciancaglioni, F. Galluzzi
Optoelectronic Cellular Neural Network Based on Amorphous Silicon Thin 
Film 
Technology		399	
S. Espejo, R. Domnguez-Castro, A. Rodrguez-Vzquez, R. Carmona
Weight-Control Strategy for Programmable CNN Chips		405

S. Espejo, A. Rodrguez-Vzquez, R. Domnguez-Castro, R. Carmona
Convergence and Stability of the FSR CNN Model		411

R. Domnguez-Castro, S. Espejo, A. Rodrguez-Vzquez, I. Garca-Vargas, 
J.F. Ramos, R. Carmona
SIRENA: A Simulation Environment for CNNs		417

G. Adorni, V. DAndrea, G. Destri
A Massively Parallel Approach to Cellular Neural Networks Image 
Processing		423

M. Coli, P. Palazzari, R. Rughi
Use of the CNN Dynamic to Associate Two Points with Different 
Quantization 
Grains in the State Space		429

M. Csapodi, L. Nemes, G. Tth, T. Roska, A. Radvnyi
Some Novel Analogic CNN Algorithms for Object Rotation, 3D Interpolation-
Approximation, and a "Door-in-a-Floor" Problem		435

B.E. Shi
Order Statistic Filtering with Cellular Neural Networks		441
L.-B. Yang, T. Yang, B.-S. Chen
Moving Point Target Detection Using Cellular Neural Networks		445

X.-P. Yang, T. Yang, L.-B. Yang
Extracting Focused Object from Defocused Background Using Cellular Neural 
Networks		451

P. Arena, S. Baglio, L. Fortuna, G. Manganaro
CNN Processing for NMR Spectra		457

P. Arena, L. Fortuna, G. Manganaro, S. Spina
CNN Image Processing for the Automatic Classification of Oranges	
	463

S. Schwarz
Detection of Defects on Photolitographic Masks by Cellular Neural 
Networks		469

M. Ikegami, M. Tanaka
Moving Image Coding and Decoding by DTCNN with 3-D Templates		475

M. Kanaya, M. Tanaka
Robot Multi-Driving Controls by Cellular Neural Networks		481

R.-W. Liu, Y.-F. Huang, X.-T. Ling
A Novel Approach to the Convergence of Neural Networks for Signal 
Processing		487

Index of Authors		489