7TH. INTERNATIONAL WORK CONFERENCE ON ARTIFICIAL AND NATURAL NEURAL NETWORKS
Biological and Artificial Computation: Methodologies, Neural Modeling and Bioengineering Applications.

CLAUSTRO DEL CARMEN Menorca, Balearic Islands, Spain June 3-6, 2003

ORGANIZED BY:
Univers. Nacional de Educación a Distancia (UNED)
Hospital Ramón y Cajal

IN COOPERATION WITH:
Ajuntament de Maó (Menorca)
Balearic Islands UNED Associated Center

Introduction

The seventh International Work-Conference on Artificial and Natural Neural Networks, will take place in Menorca, Balearic Islands (Spain) June 3-6, 2003. This biennial meeting, with focus on the interplay between Neuroscience and Computation, without disciplinary boundaries, was held previously in Granada (1991 and 2001), Sitges, Barcelona (1993), Torremolinos, Málaga (1995) Lanzarote, Canary Islands (1997), and Alicante (1999), with a growing number of participants from more than 20 countries and with high quality papers published by Springer-Verlag (LNCS 540, 686, 930, 1240, 1606-1607, and 2084-2085).

Ramón y Cajal Tribute Session

After the recent 150th birth anniversary of Santiago Ramón y Cajal, the IWANN2003 organizing committee includes a special session with emphasis on the heritage of such a creative mind and the present value in Computational Neuroscience of his avant-time results.

Scope

Under the basic idea that living beings and machines can be understood using the same experimental methodology and the same theoretical and formal tools, the interdisciplinary team of the IWANN2003 program committee recognizes the following global goals:

I.  From artificial to natural:

Foundations and Methodology in neural modeling, Systems Theory, Electronics and Artificial Intelligence (AI) applied to the understanding of nervous system and the cognitive processes.

II. From natural to artificial:

The understanding of nervous system and cognitive processes used for the formulation of bio-inspired models of artificial neurons and learning algorithms.

III. Biotechnology and the man-machine relations:

Bio-inspired formulations for tasks and methods of value in the context of Medicine, Neuroscience and Technology.