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From ml-connectionists-request@q.cs.cmu.edu Mon May 3 02:32:28 1993
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Date: Fri, 30 Apr 1993 17:20:12 UTC+0100
From: Joan Cabestany <cabestan@eel.upc.es>
Subject: registration and conference program: IWANN'93
To: CONNECTIONISTS@cs.cmu.edu
Status: R
INTERNATIONAL WORKSHOP
ON
ARTIFICIAL NEURAL NETWORK
IWANN'93
FINAL PROGRAMME
Sitges (Barcelona), Spain
June 9 - 11, 1993
SPONSORED BY
IFIP (Working Group in Neural Computer Systems, WG10.6)
IEEE Neural Networks Council
UK&RI communication chapter of IEEE
Spanish Computer Society chapter of IEEE
AEIA (IEEE Affiliate society)
ORGANISED BY
Universidad Politecnica de Catalunya
Universidad Autonoma de Barcelona
Universidad de Barcelona
UNED (Madrid)
IWANN'91 (International Workshop on Artificial Neural Networks) was held
in Granada (Spain) in September 1991. People from over 10 countries attended
the Workshop, and over 50 oral presentations were given.
IWANN'93 is schedules for next June, 1993 in Sitges (Spain) with the
following final program.
WELCOME TO DELEGATES
It is a pleasure to invite you to attend the second edition of INTERNATIONAL
WORKSHOP ON ARTIFICIAL NEURAL NETWORKS (IWANN'93) to be held in
Sitges (Barcelona, Spain) from June 9 to June 11, 1993, following the first edition done
in Granada (Spain) during September, 1991.
IWANN's main objective is to offer a forum for achieving a global, informative
and advanced prespective on Artificial Neural Networks. In addition to conventional
Neural Networks aspects, IWANN'93 will also be concerned with complementary topics
such as neural computation theory and methodology, local computation models,
organization and structures resembling biological systems.
The actual Workshop will consist of 111 papers arranged into technical sessions
addressing the topics of Learning, Models, Biological perspectives, Hardware
implementations, Self-Organizing networks and Organizational principles, Artificial
vision, Control, Communications, Software, Signal processing and Applications.
A total of six Invited Conferences will open their respective sessions to be held
in Room A, and their objective is to focus the State-of-the-Art, and motivate discussion
and participation.
The Workshop is organized in cooperation with the Spanish RIG of the IEEE
Neural Networks Society, and the IFIP WG 10.6, and, is sponsored by the spanish
"Comisin Interministerial de Ciencia y Tecnologa" (CICYT), the catalan "Comissi
Interdepartamental per a la Recerca i Tecnologia" (CIRIT), and the organizing
Universities.
Welcome to the Workshop. We hope that IWANN'93 will be scientifically very
rewarding and a good oportunity to get to know our country. Enjoy Sitges and
Barcelona, one of the most dynamic towns in Europe, and meet people working in
different topics of Neural Networks field.
The IWANN'93 Committees look forward to seeing you there.
Prof. Albert Prieto
General Chaiman, IWANN'93
COMMITTEE OF HONOUR
Chairman
Molt Honorable Sr. Jordi Pujol i Soley
President of the Catalan Government
Excm. Sr. Jordi Serra i Villalb
Mayor of Sitges
Honorable Sr. Antoni Subir i Claus
Minister of Industry and Energy
Sr. Josep Laporte i Sala
President of the CIRIT
Sr. Alberto Prieto
President of IWANN'93 Congress
ORGANIZING COMMITTEE
Chairman
Jos Mira UNED. Madrid (E)
Senn Barro Univ. de Santiago (E)
Joan Cabestany Univ. Pltca. de Catalua (E)
Trevor Clarkson King's College London (UK)
Ana Delgado UNED. Madrid (E)
Federico Morn Univ. Complutense. Madrid (E)
Conrad Prez Univ. Autnoma de Catalua (E)
Francisco Sandoval Univ. de Mlaga (E)
Elena Valderrama CNM- Univ. Autnoma de Barcelona (E)
LOCAL COMMITTEE
Chairman
Joan Cabestany Univ. Pltca. de Catalua (E)
Jordi Carrabina CNM-Univ. Autnoma de Barcelona (E)
Francisco Castillo Univ. Pltca. de Catalua (E)
Andreu Catal Univ. Pltca. de Catalua (E)
Gabriela Cembrano Inst. de Ciberntica. CSIC. Barcelona (E)
Conrad Prez Univ. de Barcelona (E)
Elena Valderrama CNM-UNIv. Autnoma de Barcelona (E)
PROGRAMME COMMITTEE
Chairman
Jos Mira UNED. Madrid (E)
Sanjeev B. Ahuja Nielsen A.I.Research & Development. Bannokburn (USA)
Igor Aleksander Imperial College. London (UK)
Lus B. Almeida INESC. Lisboa (P)
Shun-ichi Amari Faculty of Engineering. Univ. Tokyo (Jp)
Xavier Arreguit CSEM SA (CH)
Franois Blayo LERI-EERIE. Nimes (F)
Colin Campbell University of Bristol. (UK)
Leon Chua Univ. of California. Berkeley (USA)
Trevor Clarkson King's College London (UK)
Michael Cosnard Ecole Normale Superieure de Lyon (F)
Marie Cottrell Univ. Paris I (F)
Dante Del Corso Politecnico di Torino (I)
Gerard Dreyfus ESPCI. Paris (F)
F.K. Fogelman-Soulie Mimetics. Chatenay Malabry (F)
J. Simoes da Fonseca Univ. de Lisboa (P)
Kunihiko Fukushima Faculty of Engineering Science. Osaka University (Jp)
Karl Goser Univ. Dortmund (D)
Hans Peter Graf AT&T Bell Lab., New Jersey (USA)
Francesco Gregoretti Politecnico di Torino (I)
Karl E. Grosspietsch Mathematik und Datenverarbeitung (GMD). St.
Agustin (D)
Mohamad H. Hassoun Wayne State University (USA)
Jeanny Herault INPG Grenoble (F)
Jaap Hoekstra Delft University of Technology (NL)
P.T.W. Hudson Faculteit der Sociale Wetenschappen. Leiden University
(NL)
Jos Lus Huertas CNM- Universidad de Sevilla (E)
Paul G.A. Jespers Universit Catholique de Louvain (B)
Simon Jones IERI Loughborough Univ. of Technology (UK)
Christian Jutten INPG Grenoble (F)
H. Klar Inst. fr Mikroelektronik. Technische Universitt Berlin (D)
Michael D. Lemmon Univ. of Notre Dame. Notre Dame (USA)
Panos A. Ligomenides Univ. of Maryland (USA)
Javier Lpez Aligu Univ. de Extremadura (E)
Robert J. Marks II Univ. of Washington (USA)
Anthony N. Michel Univ. of Notre Dame. Notre Dame (USA)
Roberto Moreno Univ. Las Palmas de Gran Canaria (E)
Josef A. Nossek Inst. of Network Theory and Circuit Design. Tech. Univ. of
Munich (D)
Francisco J. Pelayo Univ. de Granada (E)
Franz Pichler Johannes Kepler Univ. (A)
Ulrich Ramacher Siemens AG. Munich (D)
Tmas Roska Comp. & Aut. Res. Inst. Hungarian Academy of
Science. Budapest (H)
Leonardo Reyneri Univ. di Pisa (I)
Peter A. Rounce Dept. Computer Science. Univ. College London (UK)
V.B. David Snchez German Aerospace Research Establishment. Wessling (G)
E. Snchez-Sinencio Texas A&M University (USA)
David Sherrington Dept. of Physics. Univ. of Oxford (UK)
Renato Stefanelli Politecnico di Milano (I)
T.J. Stonham Brunel-University of West London (UK)
John G. Taylor Centre for Neural Networks. King's College London (UK)
Carme Torras Inst. de Ciberntica. CSCI. Barcelona (E)
Philip Treleaven Dept. Computer Science. Univ. College London (UK)
Marley Vellasco Ponti. Univ. Catlica. Rio de Janeiro (BR)
Michel Verleysen Univ. Catholique de Louvain (B)
Michel Weinfeld Ecole Polytechnique Paris (F)
WEDNESDAY, 9TH . JUNE
09:00 Hr.
ROOM A
Mathematical topics on Neural Learning.
Prof S. Amari and Prof.N. Murata
University of Tokyo.
Moderator: E. Valderrama. Spain.
10:00 Hr.
ROOM A
Learning - I
Chairman: Prof.S. Amari. Japan.
* Self-organizing Grammar Induction using a Neural Network Model.
C. Mannes. Boston University.(USA)
* The role of forgetting in learning Strategies for Self-organizing Discriminator-based Systems.
G. Tambouratzis and T.J. Stonham Brunel University.(UK)
* Simulation of Stochastic Regular Grammars through simple recurrent Networks.
M.A. Castao, E. Vidal and F. Casacuberta.
Univ. Politcnica de Valencia.(E)
* Local Stochastic Competition and Vector Quantization.
M. Graa, A. D'Anjou, F.X. Albizuri, F.J. Torrealdea, M.C. Hernndez.
CCIA Univ. del Pas Vasco.(E)
ROOM B
Signal processing - I
Chairman:Prof.M.A.Lagunas. Spain.
* Projectivity invariant Pattern Recognition with high-order Neural Networks.
G. Joya and F. Sandoval. Universidad de Mlaga.(E)
* Rejection of incorrect answer from a Neural net classifier.
F.J. Smieja
German National Research Centre for Computer Science (GMD) (D)
* Nonlinear Time series modeling by Competitive Segmentation of State Space.
C.J. Pantalen and A.R. Figueiras.
Univ. Cantabria. UPM, Cdad. Univ.(E)
* Identification and Prediction of Non-linear models with recurrant Neural Network.
O. Adam, J.L. Zarader and M. Milgram
Lab. Robotique de Paris(FR)
ROOM C
Biological Perspectives - I
Chairman: Prof. J. Hoekstra.
The Netherlands.
* Integrated Learning in Rana Computatrix.
F.J. Corbacho and M.A. Arbib.
University of Southern California.(USA)
* A model for visual stimuli centering through adaptive value learning.
A. Murciano, J. Zamora and M. Reviriego.
Univ. Complutense de Madrid.(E)
* A model for the development of neurons selective to visual stimulus size.
M.A. Andrade and F. Morn.
Univ. Complutense de Madrid.
11:20 Hr.
COFFEE BREAK
11:50 Hr.
ROOM A
Organizational Principles - I
Chairman: Prof. M. Verleysen. Belgium.
* Optimized learning for improving the evolution of piecewise linear separation incremental
algorithms.
J.M. Moreno, F. Castillo and J. Cabestany.
Univ. Politcnica de Catalunya.(E)
* A Method of Pruning Layered Feed-forward Neural Networks.
M. Pelillo and A.M. Fanelli.
Universit di Bari.(I)
* MLP Modular versus YPREL Classifiers. Y. Lecourtier , B. Dorizzi 1, P. Sebire 1, and A.
Ennaji. Univ. de Rouen, (1) Inst. Nac. des Tlcommunications.(FR)
* Test of different regularization terms in small Networks.
J.L. Crespo and E. Mora. Univ. de Cantabria.(E)
* How many hidden neurons are needed to recognize a symmetrical pattern?. J. Patinel 1, G.
Leone 2, and M. Maurice 3.
(1) Lab. d'Intelligence Artificielle, (2) Lab. de Physiologie Neurosens., (3) Lab. de Robotique de
Paris.(FR)
ROOM B
Communication Systems
Chairman: Prof. T. Clarkson. United Kigdom.
* Hopfield Neural Network for Routing.
S. Cavalieri, A. Di Stefano and O. Mirabella. Universita' di Catania.(I)
* Neural network Routing Controller for Communication parallel Multistage Interconnection
Networks. A. Garca, A. Daz, F. Garca and F. Sandoval.
Universidad de Mlaga.(E)
* Adaptive Routing using Cellular Automata. J. Minot
Lab. d'Electronique Philips.(FR)
* Optimal blind Equalization of Gaussian channels. J. Cid 1, L. Weruaga and A.R. Figueiras.
(1) Univ. de Valladolid.
Univ. Politcnica de Madrid.(E)
ROOM C
Theoretical Models - I
Chairman: Prof. F. Morn. Spain.
* A Node Splitting Algorithm that reduces the number of connections in a hamming distance
classifying Network. H. Hning.
Aachen Univ. of Technology.(D)
* A high order Neural Model.
F.J. Lpez, M.I. Acevedo and M. Jaramillo.
Univ. de Extremadura.(E)
* Higher-order Networks for the optimization of Block Designs.
P. Bofill and C. Torras.
Univ. Politcnica de Catalunya.(E)
* Region of influence (ROI) Networks. Model and Implementation. F. Castillo 1, J. Cabestany
and J.M. Moreno.
(1) E.U.P.
E.T.S.E. Telecomunicacin.(E)
13:00 Hr.
LUNCH
15:00 Hr.
Hybrid Programming Environments: integrating neural networks, genetic algorithms and rule-
based systems.
Prof.P.C. Treleaven and P.V. Rocha. University College London.
Moderator: Prof. A. Prieto. Spain.
16:00 Hr.
ROOM A
Software - I
Chairman: Prof. P. Treleaven. United Kingdom.
* Automatic Generation of C++ Code for Neural Network Simulation. S. Dreiseitl and D.
Wang. Johannes Kepler University.(A)
* Urano: an Object-oriented Artificial neural Network Simulation Tool. L. Fuentes, J.F. Aldana
and J.M. Troya.
Universidad de Mlaga.(E)
* Realistic Simulation Tool for early visual Processing including Space, Time and Colour Data.
W. Beaudot, P. Palagi and J. Hrault. Inst. National Polytechnique de Grenoble.(FR)
ROOM B
Hardware - I
Chairman: Prof. K. Goser. Germany.
* A Neural Network Chip using CPWM Modulation. M. Chiaberge, D. del Corso, F. Gregoretti
and L.M. Reyneri. Politecnico di Torino.(I)
* Hardware implementation of a Neural Network for High Energy Physics application. J.
Carrabina, F. Lisa, V. Gaitan, L. Garrido and E. Valderrama. Univ. Autnoma de Barcelona.(E)
* An array processor Architecture for Neural Networks. J. Ortega, F.J. Pelayo, A. Prieto, B. Pino
and C.G. Puntonet. Univ. de Granada.(E)
* Limitation of connectionism in MLP. C.V. Regueiro, S. Barro and A. Yez 1. Univ. de
Santiago de Compostela.(1) Univ. de La Corua.(E)
ROOM C
Cognitive Science
Chairman: Prof. S. Barro. Spain.
* A Neural state machine for iconic language representation.
I. Aleksander 1 and H. Morton 2.
(1) Imperial College, London.
(2) Brunel University.(UK)
* Variable binding using serial order in recurrent Neural Networks. J. Lpez and J. Sopena.
Univ. de Barcelona.(E)
* Planlite: Adaptive planning using weightless systems. J. Mrsic. Imperial College, London.(UK)
* An adaptive information retrieval system based on Neural Networks. F. Crestani. Univ. di
Padova.(I)
17:20 Hr.
COFFEE BREAK
17:50 Hr.
ROOM A
Organizational Principles - II
Chairman: Prof. M. Cottrell. France.
* Comparative Study of Self-organizing Neural Networks.
C. Wann and S. Thomopoulos. The Pennsylvania State Univ.(USA)
* GANNet: A Genetic Algorithm for optimizing Topology and weight in Neural Network
design.
D.W. White and P.A. Ligomenides. Univ. of Maryland.(USA)
* Full automatic ann design: A Genetic approach.
E. Alba, J.F. Aldana and J.M. Troya. Univ. de Mlaga.(E)
ROOM B
Software - II
Chairman: Prof. J. Lpez. Spain.
* Language supported Storage and Reuse of persistent Neural Network Objects.
C. Burdorf. Univ. of Bath.(UK)
* Flexible operating environment for Matrix Based Neurocomputers.
J.C. Taylor, M.L. Recce and A.S. Mangat. Univ. College London.(UK)
* A parallel Implementation of Kohonen's self-organizing Maps on the Smart Neurocomputer.
E. Filippi 1, and J.C. Lawson 2.
(1) Politecnico di Torino.(I)
(2) INPG, Labo TIRF, Grenoble.(FR)
ROOM C
Theoretical Models - II
Chairman: Prof. F. Castillo. Spain.
* Neural bayesian Classifier.
C. Jutten. INPG, Labo TIRF, Grenoble. P. Comon.(FR)
* Constructive Methods for a new Classifier based on a Radial-Basis-Function Neural Network
accelerated by a tree. P. Gentric and H. Withagen.
Lab. d'Electronique Philips.(FR
* Practical realization of a Radial Basis Function Network for handwritten digit recognition.
B. Lemari. La Poste, Nantes.(FR)
* Design of Fully and Partially connected Random Neural Networks fos Pattern Completion.
C. Hubert. Univ. Ren Descartes.(FR)
THURSDAY, 10TH. JUNE
09:00 Hr.
ROOM A
The Kolmogorov Signal processor. Prof. M.A. Lagunas, A. Prez, M. Najar, A. Pags. UPC
TSC Department. Spain
Moderator: Prof. C. Jutten. France.
10:00 Hr.
ROOM A
Signal Processing - II
Chairman: Prof. C. Jutten. France.
* Use of Unsupervised Neural Networks for classification of Blood Pressure Time Series. M.J.
Rodrguez, F. del Pozo and M.T. Arredondo. Univ. Politcnica de Madrid.(E)
* Aplication of Artificial Neural Networks to chest Image classification. J.J. Fernndez, A.
Caas, E. Roca, F.J. Pelayo, J. Fernndez and A. Prieto.
Univ. de Granada.(E)
* Software Pattern EEG Recognition after a Wavelet transform by a Neural Network.
P. Clochon, D. Clarencon, R. Caterini and V. Roman. INSERM.(FR)
* Combination of Self-organizing Maps and Multilayer Perceptrons for Speaker Independent
Isolated Word Recognition.J. Tuya, E. Arias, L. Snchez and J.A. Corrales.
Univ. de Oviedo.(E)
ROOM B
Learning - II
Chairman: Prof. F. Blayo. France.
* MHC - An Evolutive Connectionist Model for Hybrid Training. J.M. Ramrez.
Paradigma.(VEN)
* Fast Convergenced Learning Algorithms for Multi-level and Binary Neurons and Solving of
some Image Processing problems. N.N. Aizenberg, and I.N. Aizenberg 1. Univ. of Uzhgorod. (1)
Joint Venture PGD.(UKR)
* Invariant Object Recognition using Fahlman and Lebiere's Learning Algorithm. K. Ito, M.
Hamamoto, J. Kamruzzaman and Y. Kumagai. Muroran Inst. of Technology.(JP)
* Realization of Surjective Correspondence in Artificial Neural Network trained by Fahlman
and Lebiere's Learning Algorithm. M. Hamamoto, K. Ito, J. Kamruzzaman and Y. Kumagai.
Muroran Inst. of Technology.(JP)
ROOM C
Biological Perspectives - II
Chairman: Prof. J. Mira. Spain.
* An invariant Representation Mechanism after Presynaptic Inhibition. R. Moreno and O.
Bolvar. Univ. de Las Palmas de Gran Canaria.(E)
* The Pancreatic B-Cell as a Voltage-Controlles Oscillator.
J.V. Snchez and B. Soria.
Univ. de Alicante.(E)
* Apprximation of the Solution of the Dendritic Cable Equation by a small series of Coupled
Differential Equations. J. Hoekstra.
Delft Univ. of Technology.(NL)
* A Neural Network Model inspired in global appreciations about the Thalamic Reticular
Nucleus and Cerebral Cortex Connectivity. J. Ropero. ICAI.(E)
11:20 Hr.
COFFEE BREAK
11:50 Hr.
ROOM A
Applications - I
Chairman: Prof. A. Prieto. Spain.
* Noise Prediction in Urban Traffic by a Neural Approach. G.Cammarata, S. Cavalieri, A.
Fichera and L. Marletta. Univ. di Catania.(I)
* An industrial application of Neural Networks to Natural Textures classification. G. Yahiaoui
and B. Borocco 2. cole Spciale de Mcanique et d'Electricit. (2) PSA Peugeot Citron.(FR)
* Stock Prices and Volume in an Artificial adaptive Stock Market.
S. Margarita and A. Beltratti.
Univ. di Torino.(I)
* Application of the Fuzzy Artmap Neural Network Architecture to Bank Failure Predictions.
L.J. de Miguel, E. Revilla, J.M. Rodrguez and J.M. Cano. Univ. de Valladolid.(E)
ROOM B
Vector Quantizers
Chairman: Prof. C. Prez. Spain.
* Vector Quantization and Projection Neural Network.
P. Demartines and J. Hrault.
INPG, Labo. TIRF Grenoble.(FR)
* Constructive Design of LVQ and DSM Classifiers. J.C. Prez and E. Vidal. Univ. Politcnica
de Valencia.(E)
* Linear Vector classification: an improvement on LVQ Algorithms to create classes of
Patterns.
M. Verleysen, P. Thissen and J.D. Legat. Univ. Catholique de Louvain.(B)
* Non-Greedy adaptive Vector Quantizers. Z. Wang.
Univ. of Waterloo.(CAN)
ROOM C
Theoretical Models - III
Chairman: Prof. A. Catal. Spain.
* Representation and Recognition of Regular Grammars by Means of Second-order recurrent
Neural Networks. R. Alquzar and A. Sanfeliu. Inst. de Ciberntica (UPC-CSIC).(E)
* Connectionist Models for Syllabic Recognition in the Time Domain. J. Santos and R.P. Otero.
Univ. da Corua.(E)
* Sparsely Interconnected Artificial Neural Networks for Associative Memories. D. Liu and
A.N. Michel. Univ. of Notre Dame.(USA)
* Dynamic Analysis of Networks of Neural Oscillators. A. Arenas and C.J. Prez. Univ. de
Barcelona.(E)
* Adaptive Models in Neural Networks. P.A. Ligomenides. Univ. of Maryland.(USA)
13:00 Hr.
LUNCH
15:00 Hr.
ROOM A
Hardware Implementations of Artificial Neural Networks.
Prof.D.Del Corso. Politecnico di Torino.
Moderator: Prof. J. Cabestany. Spain.
16:00 Hr.
ROOM A
Hardware - II
Chairman: Prof. D. Del Corso. Italy.
* High Level Synthesis of Neural Network Chips. M.E. Nigri and P. Treleaven. Univ. College
London.(UK)
* Neural Network Simulations on massively parallel Computers: Applications in Chemical Physics.
B.G. Sumpter, R.E. Guenther 1, C.Halloy 2, C. Getino and D.W. Noid. Oak Ride National Lab.
(1) Univ. of Nebraska at Ohama.
(2) Univ. of Tennessee.(USA)
* A model based Approach to the Performance Analysis of Multi-Layer Networks realised in
Linear Systolic Arrays. D. Naylor and S. Jones. Loughborough Univ. of Technology.(UK)
* The temporal Noisy-Leaky Integrator Neuron with additional Inhibitory Inputs. G. Bugmann, C.
Christodoulou, T.G. Clarkson and J.G. Taylor. King's College London.(UK)
ROOM B
Control & Robotics - I
Chairman: Prof. C. Torras. Spain.
* Neural Networks as Direct Adaptive Controllers. M. Bahrami.
Univ. of New South Wales.(AUS)
* A Neural Adaptive Controller for a Turbofan Exhaust Nozzle. C. Barret, M. Houkari, P. Meyne,
J.M. Martnez 1, A. Garassino 2, and P. Tormo 2. Univ. Evry Val d'Essonne.
(1) Commissariat l'Energie Atomique. (2) SNECMA Villaroche.(FR)
* Feed-Forward Neural Networks for Bioreactor Control. A. Bulsari, B. Saxn and H. Saxn. bo
Akademi.(FIN)
ROOM C
Artificial Vision - I
Chairman: Prof. J. Herault. France.
* A Connectionist Approach to the Correspondence Problem in Computer Vision. H. Sako and H.I.
Avi-Itzhak 1. Hitachi Dublin Lab.
(1) Stanford Univ.(IRE)
* Self-Organizing Feature Maps for Image Segmentation. R. Natowicz and R. Sokol 1. E.S.I.E.E.. (1)
Univ. de Paris.(FR)
* Recognition of Fractal Images using a Network. B. Freisleben, J.H. Greve and J. Lber. Univ. of
Darmstadt.(D)
* Feed-Forward Network for Vehicle License Character Recognition. F. Lisa, J. Carrabina, C. Prez,
N. Avellana and E. Valderrama. Univ. Autnoma de Barcelona.(E)
END OF SESSIONS
FRIDAY, 11TH. JUNE
09:00 Hr.
ROOM A
Biophysics of Neural Computation.
Prof. K.N. Leibovic. Univ. of New York at Buffalo.USA
Moderator: Prof. J. Mira. Spain.
10:00 Hr.
ROOM A
Biological Perspectives - III
Chairman: Prof. K.N. Leibovic. U.S.A.
* Towards more realistic Self Contained Models of Neurons: High-Order, Recurrence and
Local Learning. J. Mira, A.E. Delgado, J.R. Alvarez, A.P. de Madrid and M. Santos. UNED.(E)
* McCulloch's Neurons Revisited.
R.J. Scott. Univ. of Maryland Baltimore County.(USA)
* Biologically Motivated Approach to Face Recognition. N. Petkov, P. Kruizinga and T.
Lourens.(NL)
Rijksuniversiteit Groningen.
* Learning by Reinforcement: a Psychobiological Model. F.J. Vico, F. Sandobal and J. Almaraz.
Univ. de Mlaga.(E)
ROOM B
Learning - III
Chairman: Prof. P. Ligomenides. U.S.A.
* Bimodal Distribution Removal.
P. Slade and T.D. Gedeon. Univ. of New South Wales.(AUS)
* A simplified Artmap Architecture for Real-Time Learning. A. Guazzelli, D. Barone and E.C.
de B. Carvalho Filho 1. Univ. Fed. do Rio Grande do Sul. (1) Univ. Fed. de Pernambuco.(BR)
* B-Learning: a Reinforcement Learning Algorithm, Comparison with Dynamic Programming.
T. Langlois and S. Canu. Lyonese des Eaux Dumez. Univ. de Technology de Compigne.(FR)
* Increased Complexity Training.
I. Cloete and J. Ludik. Univ. of Stellenbosch.(SA)
ROOM C
Artificial Vision - II
Chairman: Prof. F. Sandoval. Spain.
* Interpretation of Optical Flow through complex Neural Network.
M. Miyauchi, M. Seki, A. Watanabe and A. Miyauchi. SANNO College, Musashi Inst. of
Technology.(JP)
* CT Image Segmentation by Self-Organizing Learning. D. Cabello, M.G. Penedo, S. Barro, J.M.
Pardo and J. Heras. Univ. de Santiago de Compostela.(E)
* Texture Image Segmentation using a modified Hopfield Network. A. Mosquera, D. Cabello,
M.J. Carreira and M.G. Penedo. Univ. de Santiago de Compostela.(E)
* Image Compression with Self-Organizing Networks. B. Freisleben and M. Mengel. Univ. of
Darmstadt.(D)
11:20 Hr.
COFFEE BREAK
11:50 Hr.
ROOM A
Applications - II
Chairman: Prof. G. Cembrano. Spain.
* Use of a Layered Neural Nets as a Display Method for N-Dimensional Distributions. L.
Garrido 1-2, V. Gaitan 2, M. Serra 3 and X. Calbet 3. (E)
(1) Univ. de Barcelona.
(2) Univ. Autnoma de Barcelona. (3) Inst. de Astrofsica de Canarias.
* Simulation of Neural Networks in a Distributed Computing Environment using NeuroGraph.
P. Wilke. Univ. Erlangen-Nuernberg.(D)
* Combination of Neural Network and Statistical Methods for Sensory Evaluation of Biological
Products: on-line Beaty Selection of Flowers.
F. Ros, A. Brons, f. Sevila, G. Rabatel and C. Touzet (1).
CEMAGREF. (1) LERI-ERIEE.(FR)
ROOM B
Self-Organizing Networks
Chairman: Prof. E. Valderrama. Spain.
* On the Distribution of Feature Space in Self-Organizing Mapping and Convergence
Accelerating by a Kalman Algorithm. H. Yin and N.M. Allinson. Univ. of York.(UK)
* A learning Algorithm to Obtain Self-Organizing Maps using Fixed Neighbourhood Kohonen
Networks.
P. Martin, F.J. Pelayo, A. Daz, J. Ortega and A. Prieto. Univ. de Granada.(E)
* Analysing a Contingency Table with Kohonen Maps: a Factorial Correspondence Analysis.
M. Cottrell, P. Letremy and E. Roy. Univ. de Paris.(FR)
* Dynamics of Self-Organized Feature Mapping. R. Der, T. Willmann. Univ. Leipzig.(D)
ROOM C
Theoretical Models - IV
Chairman: F. Pelayo. Spain.
* Optimised Attractor Neural Networks with External Inputs.
A.N. Burkitt. Australian National Univ.(AUS)
* Non-Orthogonal Bases and Metric Tensors: some Applications to Biology and Artificial
Neural Networks. K. Weigl and M. Berthod. INRIA.(FR)
* Genetic Synthesis of Discrete-Time Recurrent Neural Network.
F.J. Marn and F. Sandoval. Univ. de Mlaga.(E)
* Optimization of a Competitive Learning Neural Network by Genetic Algorithms. J.J. Merelo,
M. Patn, A. Caas, A. Prieto and F. Morn 1. Univ. de Granada.
(1) Univ. Complutense de Madrid.(E)
13:00 Hr.
LUNCH
15:00 Hr.
ROOM A
Networks for Estimation, Control and Robotics.
Prof. J.J.E. Slotine, RM Sanner MIT (USA)
Moderator: Prof. C. Torras. Spain.
16:00 Hr.
ROOM A
Control & Robotics - II
Chairman: Prof.J.J.E.Slotine. U.S.A.
* Learning Networks for Process Identification and Associative Action. L. Borland and H.
Haken.
Univ. of Stuttgart.(D)
* On-line Performance Enhancement of a Behavioral Neural Network Controller.
J.R. Pimentel, D. Gachet, L. Moreno and M.A. Salichs. Univ. Politcnica de Madrid.(E)
* An Architecture for Implementing Control and Signal Processing Neural Networks.
R.P. Palmer and P.A. Rounce. Univ. College London.(UK)
ROOM B
Hardware - III
Chairman: Prof. S. Jones. United Kingdom.
* Architectures for Self-Learning Neural Network Modules.
T.G. Clarkson and C.K. Ng. King's College London.(UK)
* The Generic Neuron Architectural Framework for the Automatic Generation of ASICs.
M.M.B.R. Vellasco and P.C. Treleaven 1. Pontificia Univ. Catlica do Rio de Janeiro.(BR) (1)
Univ. College London.(UK)
* A Risc Architecture to Support Neural Net Simulation. M. Pacheco and P.C. Treleaven 1.
Pontificia Univ. Catlica do Rio de Janeiro.(BR). (1) Univ. College London.(UK)
* Hardware Design for Self-Organizing Feature Maps with Binary Input Vestors. S. Rping, U.
Rckert and K. Goser. Univ. of Dortmund.(D)
ACCOMPANYING PERSONS PROGRAMME
Tuesday, 8th. June
20:00 Hrs. Welcome Reception at "Maricel" Palace.
Wednesday, 9th. June
09:30 Hrs. HISTORICAL AND ARTISTIC CITY TOUR OF BARCELONA.
Including: The Gothic Quarter, the 14th Century Gothic Cathedral, the
"Paseo de Gracia" where the most important Modernist buildings are
placed, the Sagrada Familia, etc.
Thursday, 10th. June
09:30 SITGES CITY TOUR AND MUSEUMS.
Sitges is a summer and international tourism resort. The white washed
houses, the seaside boulevard and the church on the sea create a
beautiful and pleasant ensemble. Artists, such as Rusiol or Utrillo,
already discovered its charm at the end of the XIXth century. The Cau
Ferrat Museum and the Maricel Museum, display beautiful samples of the
Catalan modern art.
21:00 Gala Dinner at Great Casino of Sitges.
GENERAL INFORMATION
CONGRESS VENUE
The IWANN'93 Congress will be held in Sitges, a city located 35 Km. south of Barcelona.
All sessions will take place at GRAN SITGES HOTEL:
Gran Sitges Hotel
Port d'Aiguadol
08870 Sitges (Barcelona)
Spain
TRANSPORTATION TO SITGES
By air: The Barcelona-El Prat International Airport is linked to Barcelona by rail (Barcelona
Sants Station) every 30 minutes, by bus (Aerobus) every 15 minutes, and by taxi. Sitges is also
linked to the airport by rail, changing train in El Prat Station or through Barcelona Sants
Station.
By Rail: Internationals direct lines to Barcelona (Francia and Sants) Stations come from
Geneva and Bern (Switzerland), Paris (France) and Milan (Italy). There are also many trains
from Madrid, some of them overnight. Sitges is linked to Barcelona Sants Station by local trains
every 15-30 minutes.
By Road: Motorway A-17/7 from La Jonquera (at the French border) links up with the French
motorway network; and thence, Great Britain and all northern and eastern countries. Motorway
A-7 to the west and south connects Barcelona with the rest of Spain. Sitges is linked to
Barcelona city and Airport by Motorway A-16 and country road C-246.
HOTEL RESERVATIONS
A number of rooms in different prices and categories have been booked in Sitges for the
Congress attendants. Reservations made through the General Secretariat by registration form
have a special price in all Hotels. Payment of a deposit per room will be necessary to confirm
any hotel reservation. This amount will be deducted from your hotel invoice.
See official list and map of the city attached in the back cover of this programme.
Please consult special rates for consolidated groups (minimum 20 persons).
OFFICIAL LANGUAGES AND SIMULTANEOUS TRANSLATION
English will be the official language of IWANN'93. Simulaneous translation will not be
provided.
DOCUMENTATION AND INFORMATION
Congress documents, personal budgets, and tickets will be handed over to attendants and
accompanying persons at the Congres Secretariat from Tuesday 8th June to Friday 11th June.
The Secretariat will be open every day from the begining to the end of the work sessions.
REGISTRATION
Registration and payment of fees will be absolutely necessary so as to attend the Workshop
sessions and social events.
On site registration is discouraged in order to avoid queueing.
Registration Fees include:
Attendants Accompanying Persons
- Welcome reception - Welcome reception
- Proccedings - Barcelona City Tour
- Attendance to all Scientific Meetings - Sitges City Tour and Museums
- Coffee Breaks - Gala Dinner
- Gala Dinner
Basic Inscription Economy Inscription
- Proccedings - Attendance to all Scientific Meetings
- Attendance to all Scientific Meetings - Coffee Breaks
- Coffee Breaks
SOCIAL EVENTS
Tuesday 8th June
20:00 Hrs. Welcome Reception at "Maricel" Palace, the historical and cultural centre of
Sitges which is overlooking the sea. This Palace, at present a museum, is a
sample of the Catalan modern art ("Modernism").
Thursday 10th June
21:00 Hrs. Gala Dinner at Great Casino of Sitges located in Sant Pere de Ribes, 5Km. far
from Sitges. This construction was built at the end of 19th. century in Catalan-
Renaissance style. It's spacious halls are beautifully decorated and the access to
the Casino is a long boulevard with cypresses and period street lamps. An
unforgettable setting!.Free entrance to the Casino after the dinner showing the
passport or D.N.I.
OPTIONAL TOURS
Optional Tours and Excursions will be organized on Saturday and Sunday for the attendants
wishing to extend their stay after the Workshop.
Caves and Montserrat (full day) Price : 7.500.- Ptas (Minimum 30 persons)
We will visit a famous Caves of Sant Sadurn d'Anoia (placed on the most important wine-
producing region of Catalonia). Lunch. Montserrat is a unique mountain located at a height
of 1.235 mts.. In the Royal basilica is placed the famous Black Virgin. We will listen to the
"Escolanets", the oldest child chorus in Europe.
Modernism in Barcelona (half day) Price : 3.500.- Ptas (Minimum 30 persons)
During this tour you can see the most important modernist works of Barcelona.
Some houses located at the Paseo de Gracia, built with the particular imagination of the
architects, painters and sculptors of the beginning of this century; the Holy Family Church, the
still unfinished masterpiece of striking originality, begun in 1884 by A. Gaudi; the Gell Park,
initially created as a Garden City and today a public park.
Girona and Dal Museum (full day) Price : 8.000.- Ptas (Minimum 30 persons)
Founded in ancient times, Girona preserves numerous vestiges of its Roman, Christian, Arab
and Frankish past. From the 12th century to the present, it has witnessed the Catalonian War
of Secession; the war against Louis XIV; the siege mounted by Philip V, and the defense
against Napoleonic forces. The inner city is one of the most beautiful and best preserved in
Spain. It consists of a number of steep, narrow streets, sometimes porticoed, that converge onto
flights of stairs leading to different street levels and up to the Cathedral. Lunch. At Figueres,
capital of Ampurdan region, we will visit the famous Dali Theater-Museum, the most visited
one in Spain, after the Prado. Many works of this recently died genious artist are displayed in
an original way.
CANCELLATION OF REGISTRATION
Notification of cancellation must be sent in writing to ULTRAMAR CONGRESS and will be
accepted until April 30th., 1993 with refund of fees except a cancellation charge of 25%.
No refunds can be made for cancellation received after April 30th., 1993.
Refunds will be dealt with after the Congress.
GENERAL SECRETARIAT
For any matters related to correspondance, registration forms, payment of fees, hotel
reservation, deposit, etc., please contact:
ULTRAMAR CONGRESS
Diputaci, 238 3
08007 Barcelona
Tel. (34-3) 317.37.00 - Fax. (34-3) 412.03.19
__________________________________________________________________________________________________
REGISTRATION FORM
****************************************************************************
IWANN'93
INTERNATIONAL WORKSHOP ON ARTIFICIAL NEURAL NETWORKS
SITGES (BARCELONA) Spain June 9-11, 1993
Name:______________________________________________________________________
Accompanying person:_______________________________________________________
Address:_______________________________ Tel:______________Fax:_____________
Z.C. __________ City ____________________ Country__________________________
Institution or Centre _____________________________________________________
REGISTRATION FEES
Before April 31 After April 31
Full Inscription 60.000 ptas 70.000 ptas _______________
Basic Inscription (*) 40.000 ptas 50.000 ptas _______________
Economy Inscription (**) 30.000 ptas 35.000 ptas _______________
Accompanying Person Fees 40.000 ptas 50.000 ptas. _______________
(*) Only for students with accreditation and delegates from America
(except USA and Canada), and East European Countries.
(**)Without proceedings.Only for students.
On site registration is discouraged.
HOTEL RESERVATION
Special Hotel rates per night (Breakfast included)
Twin Room Single use room tax
[] Gran Sitges Hotel **** 15,750 ptas 12,600 ptas 6%
[] San Sebastian Htl **** 12,500 ptas 9,500 ptas 6%
[] Sitges Park Hotel *** 8,000 ptas 6,500 ptas 6%
[] Subur Hotel *** 8,300 ptas 6,200 ptas 6%
[] Hotel Don Pancho ** 5,500 ptas 4,400 ptas 6%
Please reserve ________ room(s) [] Twin(s) [] Single(s)
at Hotel ______________________________________
Date of arrival ________________ Date of departure ___________________
HOTEL RESERVATION DEPOSIT
Following deposit per room will be necessary to confirm any Hotel reservation:
Hotel****:20.000 ptas Hotel***: 15.000 ptas Hotel**:10.000 ptas.
Attached Hotel Deposit :____________________ ptas x _______ rooms= ___________
TOTAL ATTACHED PAYMENT _______________
Payment of Registration Fees will be necessary to attend the
Workshop sessions and social events. Registration Fees include:
For Attendants For Accompanying persons
- Welcome Reception - Welcome Reception.
- Proceedings - Barcelona City Tour
- Attendence to all - Museums of Sitges Tour
Scientific Meetings - Official Dinner
- Coffee Breaks
- Official Dinner
Basic Inscription Economy Inscription
- Proceedings - Attendance to all Scientific
- Attendance to all Meetings
Scientific Meetings - Coffee Breaks
- Coffee Breaks
METHODS OF PAYMENT
[] By bank draft in Pesetas, payable to ULTRAMAR CONGRESS on a Spanish Bank.
[] By bank transfer to:
BANCO CENTRAL (c/o ULTRAMAR CONGRESS) Branch No.20
Paseo de Gracia, 3 08007 Barcelona
Acct. No. 13575-70
Please attach copy of Bank transfer to this form. Transfer fees to be paid
by the sender.
[] By VISA Credit Card No._____________________ Expiration date ______________
Name of Card Holder ________________________________________________________
Please send this REGISTRATION FORM, together with payment, to
ULTRAMAR CONGRESS Diputacio, 238, tercer 08007 BARCELONA Spain
Tel. (34-3) 317.37.00 Fax. (34-3) 412.03.19
Date: ____________________ Signature: _______________________________
THE WORKSHOP VENUE
Sitges is located 35 Km. south of Barcelona. The city is well known
for its beaches and its promenade facing the Mediterranean sea. Sitges is
also knownfor its cultural events, and interesting Museums (Maricel,
Santiago Rusinol...)
IWANN'93 will be held at one of the most modern Convention Centres
of Mediterranean Coast, The Gran Sitges Hotel, an unique complex in which
business and leisure go hand in hand. Opened in 1991, its Congress and
Conventions facilities include 13 Meeting Rooms equipped with all the
necessary means. The Mediterranean Sea can be seen from every balcony of
its 307 guest rooms. All of them are designed to offer maximum comfort
(TV, mini-bar, air-conditio- ning and a wall safe).
Sitges can be easily accesed by train (every 30 minutes), and it is
wellcommunicated by highway.
OPTIONAL TOURS
Optional tours and excursions will be organized on Saturday and
Sunday for the attendants wishing to extend their stay after the Workshop.
From X Mon May 3 22:14:03 PDT 1993
Article: 11371 of comp.ai
Xref: serval comp.ai:11371 comp.ai.neural-nets:8963
Path: serval!netnews.nwnet.net!ogicse!network.ucsd.edu!crl!elman
From: elman@crl.ucsd.edu (Jeff Elman)
Newsgroups: comp.ai,comp.ai.neural-nets
Subject: new books in MIT Neural Networks/Connectionism series
Message-ID: <1s4nun$lcf@network.ucsd.edu>
Date: 4 May 93 03:29:27 GMT
Article-I.D.: network.1s4nun$lcf
Distribution: world
Organization: University of California, San Diego
Lines: 395
NNTP-Posting-Host: crl.ucsd.edu
The following books have now appeared as part of the Neural Network
Modeling and Connection Series, and may be of interest to readers of
this news group. Detailed descriptions of each book, along with table
of contents, follow.
Jeff Elman
============================================================
Neural Network Modeling and Connectionism Series
Jeffrey Elman, editor. MIT Press/Bradford Books.
* Miikkulainen, R. "Subsymbolic Natural Language Processing
An Integrated Model of Scripts, Lexicon, and Memory"
* Mitchell, M. "Analogy-Making as Perception A Computer Model"
* Cleeremans, A. "Mechanisms of Implicit Learning Connectionist Models
of Sequence Processing"
* Sereno, M.E. "Neural Computation of Pattern Motion Modeling Stages of
Motion Analysis in the Primate Visual Cortex"
* Miller, W.T., Sutton, R.S., & Werbos, P.J. (Eds.), "Neural Networks for
Control"
* Hanson, S.J., & Olson, C.R. (Eds.) "Connectionist Modeling and Brain
Function The Developing Interface"
* Judd, S.J. "Neural Network Design and the Complexity of Learning"
* Mozer, M.C. "The Perception of Multiple Objects A Connectionist
Approach"
------------------------------------------------------------
New
Subsymbolic Natural Language Processing
An Integrated Model of Scripts, Lexicon, and Memory
Risto Miikkulainen
Aiming to bridge the gap between low-level connectionist models and
high-level symbolic artificial intelligence, Miikkulainen describes
DISCERN, a complete natural language processing system implemented
entirely at the subsymbolic level. In DISCERN, distributed neural
network models of parsing, generating, reasoning, lexical processing,
and episodic memory are integrated into a single system that learns to
read, paraphrase, and answer questions about stereotypical narratives.
Using the DISCERN system as an example, Miikkulainen introduces a
general approach to building high-level cognitive models from
distributed neural networks, and shows how the special properties of
such networks are useful in modeling human performance. In this approach
connectionist networks are not only plausible models of isolated
cognitive phenomena, but also sufficient constituents for complete
artificial intelligence systems.
Risto Miikkulainen is an Assistant Professor in the Department of
Computer Sciences at the University of Texas, Austin.
Contents: I.Overview. Introduction. Background. Overview of DISCERN. II.
Processing Mechanisms. Backpropagation Networks. Developing
Representations in FGREP Modules Building from FGREP Modules. III.
Memory Mechanisms. Self-Organizing Feature Maps. Episodic Memory
Organization: Hierarchical Feature Maps. Episodic Memory Storage and
Retrieval: Trace Feature Maps. Lexicon. IV. Evaluation. Behavior of the
Complete Model. Discussion. Comparison to Related Work. Extensions and
Future Work. Conclusions. Appendixes: A Story Data. Implementation
Details. Instructions for Obtaining the DISCERN Software.
A Bradford Book
May 1993 - 408 pp. - 129 illus. - $45.00
0-262-13290-7 MIISH
------------------------------------------------------------
New
Analogy-Making as Perception
A Computer Model
Melanie Mitchell
Analogy-Making as Perception is based on the premise that analogy-making
is fundamentally a high-level perceptual process in which the
interaction of perception and concepts gives rise to "conceptual
slippages" which allow analogies to be made. It describes Copycat,
developed by the author with Douglas Hofstadter, that models the
complex, subconscious interaction between perception and concepts that
underlies the creation of analogies.
In Copycat, both concepts and high-level perception are emergent
phenomena, arising from large numbers of low-level, parallel,
non-deterministic activities. In the spectrum of cognitive modeling
approaches, Copycat occupies a unique intermediate position between
symbolic systems and connectionist systems - a position that is at
present the most useful one for understanding the fluidity of concepts
and high-level perception.
On one level the work described here is about analogy-making, but on
another level it is about cognition in general. It explores such issues
as the nature of concepts and perception and the emergence of highly
flexible concepts from a lower-level "subcognitive" substrate.
Melanie Mitchell, Assistant Professor in the Department of Electrical
Engineering and Computer Science at the University of Michigan, is a
Fellow of the Michigan Society of Fellows. She is also Director of the
Adaptive Computation Program at the Santa Fe Institute.
Contents: Introduction. High-Level Perception, Conceptual Slippage, and
Analogy-Making in a Microworld. The Architecture of Copycat. Copycat's
Performance on the Five Target Problems. Copycat's Performance on
Variants of the Five Target Problems. Summary of the Comparisons between
Copycat and Human Subjects. Some Shortcomings of the Model. Results of
Selected "Lesions" of Copycat. Comparisons with Related Work.
Contributions of This Research. Afterword by Douglas R. Hofstadter.
Appendixes. A Sampler of Letter-String Analogy Problems Beyond Copycat's
Current Capabilities. Parameters and Formulas. More Detailed
Descriptions of Codelet Types.
A Bradford Book
May 1993 - 382 pp. - 168 illus. - $45.00
0-262-13289-3 MITAH
------------------------------------------------------------
New
Mechanisms of Implicit Learning
Connectionist Models of Sequence Processing
Axel Cleeremans
What do people learn when they do not know that they are learning? Until
recently all of the work in the area of implicit learning focused on
empirical questions and methods. In this book, Axel Cleeremans explores
unintentional learning from an information-processing perspective. He
introduces a theoretical framework that unifies existing data and models
on implicit learning, along with a detailed computational model of human
performance in sequence-learning situations.
The model, based on a simple recurrent network (SRN), is able to predict
the successive elements of sequences generated from finite-state
grammars. Human subjects are shown to exhibit a similar sensitivity to
the temporal structure in a series of choice reaction time experiments
of increasing complexity; yet their explicit knowledge of the sequence
remains limited. Simulation experiments indicate that the SRN model is
able to account for these data in great detail. Other architectures
that process sequential material are considered. These are contrasted
with the SRN model, which they sometimes outperform. Considered
together, the models show how complex knowledge may emerge through the
operation of elementary mechanisms - a key aspect of implicit learning
performance.
Axel Cleeremans is a Senior Research Assistant at the National Fund for
Scientific Research, Belgium.
Contents: Implicit Learning: Explorations in Basic Cognition. The SRN
Model: Computational Aspects of Sequence Processing. Sequence Learning
as a Paradigm for Studying Implicit Learning. Sequence Learning: Further
Explorations. Encoding Remote Control. Explicit Sequence Learning.
General Discussion.
A Bradford Book
April 1993 - 227 pp. - 60 illus. - $30.00
0-262-03205-8 CLEMH
------------------------------------------------------------
New
Neural Computation of Pattern Motion
Modeling Stages of Motion Analysis in the Primate Visual Cortex
Margaret Euphrasia Sereno
How does the visual system compute the global motion of an object from
local views of its contours? Although this important problem in
computational vision (also called the aperture problem) is key to
understanding how biological systems work, there has been surprisingly
little neurobiologically plausible work done on it. This book describes
a neurally based model, implemented as a connectionist network, of how
the aperture problem is solved. It provides a structural account of the
model's performance on a number of tasks and demonstrates that the
details of implementation influence the nature of the computation as
well as predict perceptual effects that are unique to the model. The
basic approach described can be extended to a number of different
sensory computations.
"This is an important book, discussing a significant and very general
problem in sensory processing. The model presented is simple, and it is
elegant in that we can see, intuitively, exactly why and how it works.
Simplicity, clarity and elegance are virtues in any field, but not often
found in work in neural networks and sensory processing. The model
described in Sereno's book is an exception. This book will have a
sizeable impact on the field." - James Anderson, Professor, Department
of Cognitive and Linguistic Sciences, Brown University
Contents: Introduction. Computational, Psychophysical, and
Neurobiological Approaches to Motion Measurement. The Model. Simulation
Results. Psychophysical Demonstrations. Summary and Conclusions.
Appendix: Aperture Problem Linearity.
A Bradford Book
March 1993 - 181 pp.- 41 illus. - $24.95
0-262-19329-9 SERNH
------------------------------------------------------------
Neural Networks for Control
edited by W. Thomas Miller, III, Richard S. Sutton,
and Paul J. Werbos
This book brings together examples of all of the most important
paradigms in artificial neural networks (ANNs) for control, including
evaluations of possible applications. An appendix provides complete
descriptions of seven benchmark control problems for those who wish to
explore new ideas for building automatic controllers.
Contents: I.General Principles. Connectionist Learning for Control: An
Overview, Andrew G. Barto. Overview of Designs and Capabilities, Paul J.
Werbos. A Menu of Designs for Reinforcement Learning Over Time, Paul J.
Werbos. Adaptive State Representation and Estimation Using Recurrent
Connectionist Networks, Ronald J. Williams. Adaptive Control using
Neural Networks, Kumpati S. Narendra. A Summary Comparison of CMAC
Neural Network and Traditional Adaptive Control Systems, L. Gordon
Kraft, III, and David P. Campagna. Recent Advances in Numerical
Techniques for Large Scale Optimization, David F. Shanno. First Results
with Dyna, An Integrated Architecture for Learning, Planning and
Reacting, Richard S. Sutton.
II. Motion Control. Computational Schemes and Neural Network Models for
Formation and Control of Multijoint Arm Trajectory, Mitsuo Kawato.
Vision-Based Robot Motion Planning, Bartlett W. Mel. Using Associative
Content-Addressable Memories to Control Robots, Christopher G. Atkeson
and David J. Reinkensmeyer. The Truck Backer-Upper: An Example of
Self-Learning in Neural Networks, Derrick Nguyen and Bernard Widrow. An
Adaptive Sensorimotor Network Inspired by the Anatomy and Physiology of
the Cerebellum, James C. Houk, Satinder P. Singh, Charles Fisher, and
Andrew G. Barto. Some New Directions for Adaptive Control Theory in
Robotics, Judy A. Franklin and Oliver G. Selfridge.
III. Application Domains. Applications of Neural Networks in Robotics
and Automation for Manufacturing, Arthur C. Sanderson. A Bioreactor
Benchmark for Adapive Network-based Process Control, Lyle H. Ungar. A
Neural Network Baseline Problem for Control of Aircraft Flare and
Touchdown, Charles C. Jorgensen and C. Schley. Intelligent Conrol for
Multiple Autonomous Undersea Vehicles, Martin Herman, James S. Albus,
and Tsai-Hong Hong. A Challenging Set of Control Problems, Charles W.
Anderson and W. Thomas Miller.
A Bradford Book
1990 - 524 pp. - $52.50
0-262-13261-3 MILNH
------------------------------------------------------------
Connectionist Modeling and Brain Function
The Developing Interface
edited by Stephen Jose Hanson and Carl R. Olson
This tutorial on current research activity in connectionist-inspired
biology-based modeling describes specific experimental approaches and
also confronts general issues related to learning, associative memory,
and sensorimotor development.
"This volume makes a convincing case that data-rich brain scientists and
model-rich cognitive psychologists can and should talk to one another.
The topics they discuss together here - memory and perception - are of
vital interest to both, and their collaboration promises continued
excitement along this new scientific frontier." - George Miller,
Princeton University
Contents: Part I: Overview. Introduction: Connectionism and
Neuroscience, S. J. Hanson and C. R. Olson. Computational Neuroscience,
T. J. Sejnowski, C. Koch, and P. S. Churchland. Part II: Associative
Memory and Conditioning. The Behavioral Analysis of Associative Learning
in the Terrestrial Mollusc Limax Maximus: The Importance of Inter-event
Relationships, C. L. Sahley. Neural Models of Classical Conditioning: A
Theoretical Viewpoint, G. Tesauro. Unsupervised Perceptual Learning: A
Paleocortical Model, R. Granger, J. Ambros-Ingerson, P. Anton, and G.
Lynch. Part III. The Somatosensory System. Biological Constraints on a
Dynamic Network: The Somatosensory Nervous System, T. Allard. A Model of
Receptive Field Plasticity and Topographic Reorganization in the
Somatosensory Cortex, L. H. Finkel. Spatial Representation of the Body,
C. R. Olson and S. J. Hanson. Part IV: The Visual System. The
Development of Ocular Dominance Columns: Mechanisms and Models. K. D.
Miller and M. P. Stryker. Self- Organization in a Perceptual System: How
Network Models and Information Theory May Shed Light on Neural
Organization, R. Linsker. Solving the Brightness-From-Luminance Problem:
A Neural Architecture for Invariant Brightness Perception, S. Grossberg
and D. Todorovic.
A Bradford Book
1990 - 423 pp. - $44.00
0-262-08193-8 HANCH
------------------------------------------------------------
Neural Network Design and the Complexity of Learning
J. Stephen Judd
Using the tools of complexity theory, Stephen Judd develops a formal
description of associative learning in connectionist networks. He
rigorously exposes the computational difficulties in training neural
networks and explores how certain design principles will or will not
make the problems easier.
"Judd . . . formalized the loading problem and proved it to be
NP-complete. This formal work is clearly explained in his book in such a
way that it will be accessible both to the expert and nonexpert." - Eric
B. Baum, IEEE Transactions on Neural Networks
"Although this book is the true successor to Minsky and Papert's
maligned masterpiece of 1969 (Perceptrons), Judd is not trying to
demolish the field of neurocomputing. His purpose is to clarify the
limitations of a wide class of network models and thereby suggest
guidelines for practical applications." - Richard Forsyth, Artificial
Intelligence & Behavioral Simulation
Contents: Neural Netowrks: Hopes, Problems, and Goals. The Loading
Problem. Other Studies of Learning. The Intractability of Loading.
Subcases. Shallow Architectures. Memorization and Generalization.
Conclusions. Appendices
A Bradford Book
1990 - 150 pp. - $27.50
0-262-10045-2 JUDNH
------------------------------------------------------------
The Perception of Multiple Objects
A Connectionist Approach
Michael C. Mozer
Building on the vision studies of David Marr and the connectionist
modeling of the PDP group it describes a neurally inspired computational
model of two-dimensional object recognition and spatial attention that
can explain many characteristics of human visual perception. The model,
called MORSEL, can actually recognize several two-dimensional objects at
once (previous models have tended to blur multiple objects into one or
to overload). Mozer's is a fully mechanistic account, not just a
functional-level theory.
"Mozer's work makes a major contribution to the study of visual
information processing. He has developed a very creative and
sophisticated new approach to the problem of visual object recognition.
The combination of computational rigor with thorough and knowledgeable
examination of psychological results is impressive and unique." - Harold
Pashler, University of California at San Diego
Contents: Introduction. Multiple Word Recognition. The Pull-Out Network.
The Attentional Mechanism. The Visual Short-Term Memory. Psychological
Phenomena Explained by MORSEL. Evaluation of MORSEL. Appendixes: A
Comparison of Hardware Requirements. Letter Cluster Frequency and
Discriminability Within BLIRNET's Training Set.
A Bradford Book
1991 - 217 pp - $27.50
0-262-13270-2 MOZPH
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