neuron-request@HPLMS2.HPL.HP.COM ("Neuron-Digest Moderator Peter Marvit") (12/18/90)
Neuron Digest Monday, 17 Dec 1990 Volume 6 : Issue 72 Today's Topics: Administrivia Copenhagen Optimization Conference: Revised Announcement Cambridge Neural Networks Course Announcement Vehicle Guidance Workshop '91 tech report: benefits of gain summer school proceedings: contents and ordering info ICANN conference Send submissions, questions, address maintenance and requests for old issues to "neuron-request@hplabs.hp.com" or "{any backbone,uunet}!hplabs!neuron-request" Use "ftp" to get old issues from hplpm.hpl.hp.com (15.255.176.205). ------------------------------------------------------------ Subject: Administrivia From: "Neuron-Digest Moderator -- Peter Marvit" <neuron@hplabs.hpl.hp.com> Date: Mon, 17 Dec 90 11:37:51 -0800 This week will see two or three Digest mailings. I (and my computer) will then go on vacation until the beginning of January. Unfortunately, our site will be shutting off power during that time. Readers will be unable to ftp the archives. There may be some loss of mail, although the gurus tell me that everything will be held on huge disks until I turn my workstation back on. If I don't respond to your mail by mid-January, please resubmit. As always, if you you suddenly go several weeks or more without a Digest and without warning, you may be experiencing mail troubles and/or I received a bounce and unceremoniously removed you from the list. Contact me about your status. Also, PLEASE let me know if you're about to move or your electronic address is about to go away. I hope everyone has a pleasant holiday and change to the new year. May all your connections be fruitful. ------------------------------ Subject: Copenhagen Optimization Conference: Revised Announcement From: WANG@nbivax.nbi.dk Date: Wed, 05 Dec 90 12:46:00 +0100 ------------------------------------------------------------ INTERNATIONAL CONFERENCE ON NOVEL METHODS IN OPTIMIZATION February 7 - 8, 1991 arranged by NORDITA Nordic Institute of Theoretical Physics Copenhagen and DIKU Department of Computer Science University of Copenhagen supported by funding from Nordic Initiative for Neural Computation (NINC) ------------------------------------------------------------ In recent years there has been an increasing interest in using neural networks, simulated annealing, and genetics as modelling frames of reference to construct novel search heuristics for solving hard optimization problems. Algorithms constructed in this way, together with tabu search, constitute promising new approaches to optimization and are the subjects of this conference. The aim of the conference is to bring together researchers in classical optimization and researchers working with the novel methods, thus enabling a fruitful exchange of information and results. An important part of the conference will be a tutorial presentation of both classical and new methods to establish a common base for discussion among the participants. Tutorial session. ----------------- The first day of the conference will be devoted to introductory lectures given by invited speakers. The lectures will be on: * Classical Optimization. a) Laurence Wolsey, Center for Operations Research and Econometrics, Universite de Louvain, Belgium: "Introduction to Classical Optimization: P-problems and their solution." b) Susan Powell, London School of Economics: "Introduction to Classical Optimization: NP-problems and their solution." * Neural Networks. Carsten Peterson, Lund University, Sweden: "The use of neural networks and optimization". * Simulated Annealing. Jan van Leeuwen & Goos Kant, University of Utrecht, The Netherlands: "Simulated annealing: a Tutorial". * Genetic Algorithms. (Speaker to be announced later) * Tabu Search. Fred Glover, University of Colorado, Boulder: "An introduction to TABU-search". * Statistical Mechanics. Marc Mezard, Ecole Normale Superieure, Paris: "Formal statistical mechanical methods in optimization problems." About the speakers: Laurence A. Wolsey is Professor of Applied Mathematics at CORE and is one of the leading researchers in the field of computational mathematical programming. He received the Beale-Orchard-Hays prize for his work in 1988, and is one of the authors of the widely used book "Integer and Combinatorial Optimization". Susan Powell is Lecturer in Operations Research at London School of Economics and is well known for her work on Fortran Codes for linear and integer programs. She has a solid background in prac- tical problem solving through her contacts with industry and British OR companies. Jan van Leeuwen is Professor at the Department of Computer Science of the University of Utrecht and is widely known for his work in the field of construction and analysis of algorithms. Together with Goos Kant he has conducted a number of experiments to investigate the general applicability of simulated annealing as a tool for the construction of efficient algorithms. Fred Glover is Professor at Center for Applied Artificial Intelligence at the University of Colorado, Boulder. He has a strong background in network optimization, and has in the recent years been working with search methods for combinatorial optimization problems based partly on ideas from artificial intelligence. Carsten Peterson is Lecturer in Theoretical Physics at Lund University. He is co-inventor of the deterministic Boltzmann learning algorithm for symmetric recurrent networks and a leader in applications of neural networks to optimization problems. Marc Mezard is Lecturer in Physics at the Ecole Nomale Superieure, Paris. Together with his colleagues there and their coworkers at the University of Rome, he pioneered the application of methods from the statistical mechanics of random systems to optimizaation problems. Contributed Papers. ------------------- The second day of the conference will be devoted to selected half-hour contributed presentations. An abstract of each paper submitted for presentation should be mailed or e-mailed to: Prof. Jens Clausen DIKU, Dept. of Computer Science Universitetsparken 1, DK-2100 Copenhagen OE Denmark. e-mail: clausen@diku.dk before January 1, 1991. Authors of accepted papers will be notified before January 15, 1991. (No proceedings will be published). Poster Sessions. ---------------- On both seminar days there will be poster sessions. An abstract of the poster should be mailed or e-mailed to Prof. Jens Clausen DIKU, Dept. of Computer Science Universitetsparken 1, DK-2100 Copenhagen OE Denmark. e-mail: clausen@diku.dk before January 1, 1991. Authors of accepted posters will be notified before January 15, 1991. Registration. ------------- The registration fee is 500 DKK (or equivalent in other covertible currency) and covers coffee/tea and lunch both days as well as an informal conference dinner on the evening of February 7. To register please fill in the form below and mail it together with the registrations fee to the address given on the form. No credit cards accepted. Cheques or Eurocheques should be payable to OPTIMIZATION CONFERENCE. The organizing commitee must receive your registration form January 15, 1991 the latest, and the final program will be mailed by January 22, 1991. Travel support for Nordic participants. --------------------------------------- A limited amount of money from NINC is reserved for paying the travel costs of participants from the Nordic countries, especially younger researchers. If you would like to apply for this support, please indicate on the registration form. Accommodation. -------------- The organizing commitee has reserved a certain number of hotel rooms. Please indicate on the registration form if you would like the conference to book one for you. ------------------------------------------------------------- INTERNATIONAL CONFERENCE ON NOVEL METHODS IN OPTIMIZATION February 7 - 8, 1991 ------------------------------------------------------------- REGISTRATION FORM ------------------------------------------------------------- Name:_______________________________________________ Affiliation:_______________________________________________ Address:_______________________________________________ _______________________________________________ _______________________________________________ Telephone no.:_______________________________________________ e-mail:_______________________________________________ If you want the conference to reserve you a hotel room, please indicate here for which nights: ______________________________________________________________ Nordic participants: If you want to be considered for travel support, please indicate your needs here: ______________________________________________________________ Mail this registration form to: John Hertz NORDITA Blegdamsvej 17 DK-2100 Copenhagen OE, Denmark For further information: e-mail: hertz@nordita.dk FAX: [+45] 31 38 91 57 ------------------------------ Subject: Cambridge Neural Networks Course Announcement From: Richard Prager <rwp@engineering.cambridge.ac.uk> Date: Fri, 07 Dec 90 12:21:57 +0000 Cambridge University Programme for Industry Neural Networks Theory Design & Applications 15 - 19 April 1991 Preliminary Announcement A five-day advanced short course on the theory, design and applications of artificial neural networks, presented by leading international experts in the field: Professor David RUMELHART Stanford University Professor Geoffrey HINTON University of Toronto Dr Andy BARTO University of Massachusetts Dr Herve BOURLARD Philips Research Labs. Belgium Professor Elie BIENENSTOCK ESPCI Paris Professor Frank FALLSIDE University of Cambridge Professor Horace BARLOW University of Cambridge Dr Peter RAYNER University of Cambridge Dr Lionel TARASSENKO University of Oxford This intensive short course for scientists, engineers and their managers aims to develop an understanding of the potential for neural network-based solutions, and demonstrates techniques for transforming problems to enable neural networks to solve them more efficiently. Design methodologies for a number of common neural network architectures will be described. By the end of the course delegates will be able to assess the potential usefulness of neural network technology to their own application domains. They will have an understanding of the strength and weakness of a neural network approach and will have acquired an insight into factors affecting neural network design and performance. The lectures will be complemented by discussion sessions and practical computing sessions that will demonstrate simulated applications. The lectures will cover basic theory behind neural network algorithms, together with applications in speech and language processing, signal processing, and robotic control. If you are interested please print out the form below, fill it in and return to Pam Whitfield, Cambridge Programme for Industry. University of Cambridge. Department of Engineering. Trumpington Street. Cambridge. CB2 1PZ United Kingdom. ==================================================================== | Please send me full details of the course: NEURAL NETWORKS | | to be held at Pembroke College, Cambridge, England. | | 15 - 18 April 1991. COURSE FEE 875 pounds sterling. | | Accommodation can be arranged for delegates at Pembroke College. | | | | Name _______________________ Job Title ______________________ | | | | Company ____________________ Division _______________________ | | | | Address _____________________________________________________ | | | | _____________________________________________________ | | | | Postcode __________ Phone Number __________ Fax _____________ | ==================================================================== ------------------------------ Subject: Vehicle Guidance Workshop '91 From: Christof Koch <koch%CITIAGO.BITNET@vma.CC.CMU.EDU> Date: Fri, 07 Dec 90 11:05:14 -0800 One-day workshop on ******************************************************* NEURAL AND FUZZY SYSTEMS, AND VEHICLE APPLICATIONS '91 ******************************************************* November 8, 1991, Tokyo, Japan ******************************************************* The Roundtable Discussion on "Neural and Fuzzy Systems, and Vehicle Applications" is tentatively scheduled for November 8, 1991, in Tokyo Japan. The focus of this roundtable discussion will be applications of neural nets and fuzzy logic to vehicles including automobiles, aircraft, and trains. The relationship between neural nets and fuzzy logic technologies will be another focus. Presentations of on-going projects as well as completed projects are welcome to stimulate the discussions. --------------------------------------------------------------- Please submit a one-page abstract by May 1, 1991, to Ichiro Masaki --------------------------------------------------------------- Related conferences include: IROS (International Workshop on Intelligent Robots and Systems) Nov. 3-5, Japan. IFES (International Fuzzy Engineering Syposium) Nov. 13-15, Japan. For further information, please contact: Ichiro Masaki Computer Science Department General Motors Research Laboratories 30500 Mound Road, Warren, Michigan 48090-9055, USA Office phone: 1-313-986-1466 Fax: 1-313-986-9356 E-Mail: MASAKI@GMR.COM If you're interested, please don't send mail to me but to Ichiro Masaki at masaki@gmr.com ------------------------------ Subject: tech report: benefits of gain From: "KRUSCHKE,JOHN,PSY" <kruschke@ucs.indiana.edu> Date: 07 Dec 90 15:48:00 -0500 The following paper is available via ftp from the neuroprose archive at Ohio State (instructions for retrieval follow the abstract). This paper was witten more than two years ago, but we believe the ideas are still interesting even if the details are a bit dated. Benefits of Gain: Speeded learning and minimal hidden layers in back-propagation networks. John K. Kruschke Javier R. Movellan Indiana University Carnegie-Mellon University ABSTRACT The gain of a node in a connectionist network is a multiplicative constant that amplifies or attenuates the net input to the node. The objective of this article is to explore the benefits of adaptive gains in back propagation networks. First we show that gradient descent with respect to gain greatly increases learning speed by amplifying those directions in weight space that are successfully chosen by gradient descent on weights. Adpative gains also allow normalization of weight vectors without loss of computational capacity, and we suggest a simple modification of the learning rule that automatically achieves weight normalization. Finally, we describe a method for creating small hidden layers by making hidden node gains compete according to similarities between nodes, with the goal of improved generalization performance. Simulations show that this competition method is more effective than the special case of gain decay. To get a copy of the paper, do the following: unix> ftp cheops.cis.ohio-state.edu login: anonymous password: neuron ftp> cd pub/neuroprose ftp> binary ftp> get kruschke.gain.ps.Z ftp> bye unix> uncompress kruschke.gain.ps.Z unix> lpr kruschke.gain.ps ------------------------------ Subject: summer school proceedings: contents and ordering info From: Dave.Touretzky@DST.BOLTZ.CS.CMU.EDU Date: Sat, 08 Dec 90 00:40:20 -0500 CONNECTIONIST MODELS: Proceedings of the 1990 Summer School Edited by David S. Touretzky (Carnegie Mellon University), Jeffrey L. Elman (University of California, San Diego), Terrence J. Sejnowski (The Salk Institute, UC San Diego), and Geoffrey E. Hinton (University of Toronto) ISBN 1-55860-156-2 $29.95 404 pages (For bibliographic purposes, the complete table of contents and contact numbers for additional information or for use in obtaining copies of this book follow the announcement.) TABLE OF CONTENTS PART I MEAN FIELD, BOLTZMANN, AND HOPFIELD NETWORKS Deterministic Boltzmann Learning in Networks with Asymmetric Connectivity 3 C.C. Galland and G.E. Hinton Contrastive Hebbian Learning in the Continuous Hopfield Model 10 J.R. Movellan Mean Field Networks that Learn to Discriminate Temporally Distorted Strings 18 C.K.I. Williams and G.E. Hinton Energy Minimization and the Satisfiability of Propositional Logic 23 G. Pinkas PART II REINFORCEMENT LEARNING On the Computational Economics of Reinforcement Learning 35 A.G. Barto and P.M. Todd Reinforcement Comparison 45 P. Dayan Learning Algorithms for Networks with Internal and External Feedback 52 J. Schmidhuber PART III GENETIC LEARNING Exploring Adaptive Agency I: Theory and Methods for Simulating the Evolution of Learning 65 G.F. Miller and P.M. Todd The Evolution of Learning: An Experiment in Genetic Connectionism 81 D.J. Chalmers Evolving Controls for Unstable Systems 91 A.P. Wieland PART IV TEMPORAL PROCESSING Back-Propagation, Weight Elimination and Time Series Prediction 105 A.S. Weigend, D.E. Rumelhart, and B.A. Huberman Predicting the Mackey-Glass Timeseries with Cascade-Correlation Learning 117 R.S. Crowder, III Learning in Recurrent Finite Difference Networks 124 F.S. Tsung Temporal Backpropagation: An Efficient Algorithm for Finite Impulse Response Neural Networks 131 E.A. Wan PART V THEORY AND ANALYSIS Optimal Dimensionality Reduction Using Hebbian Learning 141 A. Levin Basis-Function Trees for Approximation in High-Dimensional Spaces 145 T.D. Sanger Effects of Circuit Parameters on Convergence of Trinary Update Back-Propagation 152 R.L. Shimabukuro, P.A. Shoemaker, C.C. Guest, and M.J. Carlin Equivalence Proofs for Multi-Layer Perceptron Classifiers and the Bayesian Discriminant Function 159 J.B. Hampshire, II and B. Pearlmutter A Local Approach to Optimal Queries 173 D. Cohn PART VI MODULARITY A Modularization Scheme for Feedforward Networks 183 A. Ossen A Compositional Connectionist Architecture 188 J.R. Chen PART VII COGNITIVE MODELING AND SYMBOL PROCESSING >From Role Learning to System Building: Acquiring Verb Morphology in Children and Connectionist Nets 201 K. Plunkett, V. Marchman, and S.L. Knudsen Parallel Mapping Circuitry in a Phonological Model 220 D.S. Touretzky A Modular Neural Network Model of Attentional Requirements in Sequence Learning 228 P.G. Schyns A Computational Model of Attentional Requirements in Sequence Learning 236 P.J. Jennings and S.W. Keele Recall of Sequences of Items by a Neural Network 243 S. Nolfi, D. Parisi, G. Vallar, and C. Burani Binding, Episodic Short-Term Memory, and Selective Attention, Or Why are PDP Models Poor at Symbol Manipulation? 253 R. Goebel Analogical Retrieval Within a Hybrid Spreading-Activation Network 265 T.E. Lange, E.R. Melz, C.M. Wharton, and K.J. Holyoak Appropriate Uses of Hybrid Systems 277 D.E. Rose Cognitive Map Construction and Use: A Parallel Distributed Processing Approach 287 R.L. Chrisley PART VIII SPEECH AND VISION Unsupervised Discovery of Speech Segments Using Recurrent Networks 303 A. Doutiraux and D. Zipser Feature Extraction Using an Unsupervised Neural Network 310 N. Intrator Motor Control for Speech Skills: A Connectionist Approach 319 R. Laboissiere, J-L. Schwartz, and G. Bailly Extracting Features From Faces Using Compression Networks: Face, Identity, Emotion, and Gender Recognition Using Holons328 G.W. Cottrell The Development of Topography and Ocular Dominance 338 G.J. Goodhill On Modeling Some Aspects of Higher Level Vision 350 D. Bennett PART IX BIOLOGY Modeling Cortical Area 7a Using Stochastic Real-Valued (SRV) Units 363 V. Gullapalli Neuronal Signal Strength is Enhanced by Rhythmic Firing 369 A. Heirich and C. Koch PART X VLSI IMPLEMENTATION An Analog VLSI Neural Network Cocktail Party Processor 379 A. Heirich, S. Watkins, M. Alston, P. Chau A VLSI Neural Network with On-Chip Learning 387 S.P. Day and D.S. Camporese Index 401 _________________________________________________________________ Ordering Information: Price is $29.95. Shipping is available at cost, plus a nominal handling fee: In the U.S. and Canada, please add $3.50 for the first book and $2.50 for each additional for surface shipping; for surface shipments to all other areas, please add $6.50 for the first book and $3.50 for each additional book. Air shipment available outside North America for $45.00 on the first book, and $25.00 on each additional book. Master Card, Visa and personal checks drawn on US banks accepted. MORGAN KAUFMANN PUBLISHERS, INC. Department B2 2929 Campus Drive, Suite 260 San Mateo, CA 94403 USA Phone: (800) 745-7323 (in North America) (415) 578-9928 Fax: (415) 578-0672 email: morgan@unix.sri.com ------------------------------ Subject: ICANN conference From: pako@neuronstar.it.lut.fi (Pasi Koikkalainen) Date: Fri, 14 Dec 90 15:47:35 +0200 January 15 is approaching fast .... ... but there is still time to write a paper for ICANN-91. -== ICANN-91 ====- -== INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS ========- -== Helsinki University of Technology ==- -== Espoo, Finland, June 24-28, 1991 ==- Conference Chair: Conference Committee: Teuvo Kohonen (Finland) Bernard Angeniol (France) Eduardo Caianiello (Italy) Program Chair: Rolf Eckmiller (FRG) Igor Aleksander (England) John Hertz (Denmark) Luc Steels (Belgium) -== Second Announcement and Call for Papers =========================- THE CONFERENCE: ACTIVITIES: =============== ============ This conference will be a major - Oral and poster sessions international contact forum for - Invited talks experts from academia and industry - Industrial exhibition worldwide. Around 1000 participants - Prototype demonstrations are expected. - Video presentations -=============== TUTORIALS ==================- Nine tutorals will be given on Monday 24, 1991, covering the central techniques, developments, and prospects of Artificial Neural Networks. The tutorial speakers are leading experts in the filed: 1a J. Hertz - The Physics of Neural Networks 1b E. Oja - Pattern Recognition and Neural Networks 2 B. Widrow and T. Kohonen - Introduction to Neural Networks 3a J. Taylor - Mathematical Problems in Neural Networks Dynamics 3b F. Faggin - Hardware Implementations of Neural Networks 4a H. Ritter - Self-Organizing Map and Applications 4b T. Schwartz - How to Start a Business in Neural Networks 5a P. Werbos - Generalized Backprobagation: Basic Principles and Central Applications 5b P. Treleaven - Neural Programming Environment -==== INVITED SPEAKERS ====- In the oral sessions there will be invited talks given by some of the leading experts in various fields of Neural Networks. The invited speakers include: B. Angeniol (France), G. Carpenter (USA), R. Eckmiller (Germany), F. Fogelman (France), K. Goser (Germany), S. Grossberg (USA), J. Hertz (Denmark), K. Koenderink (Holland), A. Lansner (Sweden), C. von der Malsburg (Germany), W. von Seelen (Germany), J. G. Taylor (UK), P. Treleaven (UK) -================ PLENARY SESSIONS ====================- There will be several plenary sessions on topics that are of interest to all participants. The speakers who are pioneers in neural networks are: I. Alexander - Professor at Imperial College (England) A. Amari - Professor at Tokyo University (Japan) E. Caianiello - Professor at University of Salerno (Italy) F. Faggin - President of Synaptics Inc. (USA) R. Hecht-Nielsen - Chair of the Board of HNC corporation (USA) T. Kohonen - Professor at Helsinki University of Technology (Finland) =-= NON-COMMERCIAL DEMONSTRATIONS TRACK =-= As a new feature in neural network conferences participants will have a possibility to show video presentations and demonstrate prototype programs and systems on a non-commercial basis in a separate demonstration track, running in parallel with the oral and poster sessions. There will be a video room and PC/workstation classes available with standard equipment. The time slot reservation for the demonstration can be made using the registration form on which you also have to indicate the title of your demo. Detailed information will automatically be sent to those who reserve a time slot for demonstration. Further information can be requested from: Mr. Jari Kangas Helsinki University of Technology Laboratory of Computer and Information Science SF-02150 Espoo, Finland ----------------------------------------- E-mail (internet): icann91@hutmc.hut.fi Fax: +358-0-4513277, Telex: 125161 HTKK SF =-= INSTRUCTIONS FOR AUTHORS =-= Complete papers of at most 6 pages are invited for oral or poster presentation in one of the sessions given below: 1. Mathematical theories of networks and dynamical systems 2. Neural network architectures and algorithms (including organizations and comparative studies) 3. Artificial associative memories 4. Pattern recognition and signal processing (especially vision and speech) 5. Self-organization and vector quantization 6. Robotics and control 7. "Neural" knowledge data bases and non-rule-based decision making 8. Software development (design tools, parallel algorithms, and software packages) 9. Hardware implementations (coprocessors, VLSI, optical, and molecular) 10. Commercial and industrial applications 11. Biological and physiological connection (synaptic and cell functions, sensory and motor functions, and memory) 12. Neural models for cognitive science and high-level brain functions 13. Physics connection (thermodynamical models, spin glasses, and chaos) Papers may be submitted for oral or poster presentation. All papers must be written in English. Only complete papers of at most 6 pages will be considered for oral presentations, and for 4 pages for posters. The program committee may designate a paper intended for oral presentation to a poster presentation instead, and may also change the intended session to balance the conference program. == DEADLINE IS January 15, 1991 Deadline for submitting manuscripts is January 15, 1991. The Conference Proceedings will be published as a book by Elsevier Science Publishers B.V. Therefore, the final versions must be typed or pasted on special forms provided by the publisher for authors of accepted papers. The papers will be reproduced directly from the received forms. In order to help the authors, the conference organizers, and the publisher, we request that the submitted manuscripts already follow the final layout. Therefore, please observe carefully the instructions below. 1. The typing area is 16.7 x 25.8 cm (6.5 x 10 in.) 2. Do not use page numbers 3. Use a font (also tables and figures) large enough to withstand reduction to 70%. Do not use font smaller than 11 points. 4. The title should be written in capital letters 2 cm from the top of the first page, followed by the authors' names and addresses and the abstract left-justified, indenting everything by 2 cm. 5. In the text, do not indent headings or captions. 6. Insert all tables, figures, and figure captions in the text at their final positions. 7. For references in the text, use numbers in square brackets. Submit 6 review copies of the manuscript. FAX OR EMAIL SUBMISSIONS ARE NOT ACCEPTED. With each manuscript, please indicate - the name of the principal author - the mail address, telephone, and fax numbers - whether the paper in intended for oral or poster presentation - which session it is submitted to (see sessions above). You can also give two alternatives. You will be notified of the review result by February 20, 1991, and the authors of accepted papers will receive an authors' kit from the publisher. Deadline for the final papers typed on the special forms is March 15, 1991. NOTICE! The final camera-ready papers must be received by the Organizing Committee by that date! === SEND THE MANUSCRIPTS TO: Prof. Olli Simula ICANN-91 Organization Chairman Helsinki University of Technology SF-02150 Espoo, Finland --------------------------- Fax: +358 0 451 3277 Telex: 125161 HTKK SF Email (internet): icann91@hutmc.hut.fi - -== CONFERENCE VENUE ===- The street address of the Conference venue is Helsinki University of Technology Otakaari 1 SF-02150 Espoo Finland -== SOCIAL PROGRAM, TOURS AND EXCURSIONS =====- In addition to the scientific program, several social occasions are included in the registration fee. These include: 24 June: Get-together party and opening of the exhibition 26 June: Concert sponsored by the City of Espoo 27 June: Banquet Several tours and excursions are optional: 24 June: City Sightseeing (90 FIM) 25 June: Porvoo by bus and boat (400 FIM) 26 June: Finnish Glass Discovery (350 FIM) 27 June: Design Tour (100 FIM) Pre- and post-conference tours and excursions will also be arranged: 21-23 June: Lapland with Midnight sun (2900 FIM) 22-23 June: Cruise to Tallinn (Estonia, USSR), (850 FIM) 28-30 June: Leningrad by air (USSR), (2950 FIM) -== GENERAL INFORMATION, REGISTRATION AND ACCOMMODATION ===- There will be a special ICANN-91 reception desk at Helsinki-Vantaa airport. The desk will be open on Sunday June 23 and on Monday June 24 from noon until midnight. Registration desk is located in the Lobby of the main building at the Helsinki University of Technology, address: Otakaari 1, 02150 Espoo. For more information about registration and accommodation, please contact: ICANN-91 CMS-CONGREX P.O.Box 151 Neitsytpolku 12 A SF-00141 Helsinki, Finland Tel.: +358 0 175 355 Fax: +358 0 170 122 Telex: 123 585 cms sf ------------------------------ End of Neuron Digest [Volume 6 Issue 72] ****************************************