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Advances in Brain, Vision, and Artificial Intelligence

Curatela
Data di Pubblicazione:
2007
Abstract:
Understanding the mechanisms involved in vision and intelligent behavior of the brain, both from a natural and artificial point of view, demands more and more mul-tidisciplinary and integrated approaches of different disciplines: biophysics and neu-robiology, visual and cognitive sciences and theoretical neuroscience being only a small sample. The Brain, Vision and Artificial Intelligence Symposium 2007 (BVAI 2007, Naples, Italy, October 10-12, 2007) was the second edition of a multidisciplinary symposium that aims at gathering scientists involved in the study of basic brain, natu-ral vision, artificial vision, and artificial intelligence to promote discussion, exchange of ideas, and integration. BVAI 2007 was organized by researchers of the Institute of Cybernetics "E. Caianiello" of the Italian National Research Council, Pozzuoli, Italy (ICIB-CNR), with the support of the Italian Institute for Philosophical Studies (IISF). It was spon-sored by EBSA (European Biophysics Societies Association), GIRPR (Italian Group of Researchers in Pattern Recognition), MARS (Microgravity Advanced Research Support) Center, NEATEK SpA, PAN (Palazzo delle Arti Napoli), SINS (Italian Society for Neurosciences), and Regione Campania. Travel grants were provided for deserving young participants by EBSA, SINS and GIRPR. The symposium was held under the auspices of the AI*IA (Italian Association of Artificial Intelligence), Comune di Napoli - Assessorato alla Cultura and SIBPA (Italian Society of Pure and Applied Biophysics), and with the help of the MQC 2 (Macroscopic Quantum Coher-ence and Computing) Association. The scientific program included the participation of eight invited speakers, selected among international leading scientists in the above-mentioned fields: Michael Arbib, University of Southern California (USA), Matteo Carandini, The Smith-Kettlewell Eye Research Institute (USA), Karl Gegenfurtner, Justus-Liebig University (Ger-many), Petr Lansky, Academy of Sciences (Czech Republic), José del R. Millán, IDIAP Research Institute (Switzerland), Oliviero Stock, IRST and Fondazione Bruno Kessler (Italy), Massimo Tistarelli, University of Sassari (Italy), John K. Tsotsos, York University (Canada). Furthermore, the program included 50 contributions from worldwide participants, presented in plenary oral and poster sessions. The peer-reviewing process for the papers was performed by the Scientific Committee, includ-ing distinguished members of the scientific community, together with a number of additional reviewers, appointed by the Scientific Commitee members. The accepted contributions were selected among about 80 papers submitted to BVAI 2007. In this volume, all contributions to the symposium have been gathered according to an increasing degree of abstraction, going from the most elemental aspects of the visual processes to the most complex cognitive ones. The material has been structured into the following parts: Basic Models in Visual Sciences, Cortical Mechanism of Vision, Color Processing in Natural Vision, Action-Oriented Vision, Visual Recogni-tion and Attentive Modulation, Biometric Recognition, Image Segmentation and Rec-ognition, Disparity Calculation and Noise Analysis, Signal Identification in Neural VI Preface Models, Natural and Artificial Representation Issues in Artificial Intelligence, Mean-ing-Interaction-Emotion, Robot Navigation and Control. In our opinion, these topics can be considered the flagstones paving th e road to the ongoing integration among research in brain, vision and intelligence. We hope that this volume provides new insights and is the basis of constructive discussions. We would like to thank the invited speakers and all the contributors, the members of the Scientifi
Tipologia CRIS:
03.12 Curatela di monografia/trattato scientifico
Elenco autori:
Ramella, Giuliana; Santillo, Silvia; Mele, Francesco; Ventriglia, Francesco
Autori di Ateneo:
RAMELLA GIULIANA
SANTILLO SILVIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/158024
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