Spatio-temporal computation with neural sensorial maps

Abstract

In this work, the conexionist computational paradigm used in Artificial Intelligence (AI) and Autonomous Robotics is revised. A Neural Computational paradigm based on perceptual association maps is also analysed regarding his close relation with the conexionist paradigm. We explore the Singer hypothesis about the evidence of the same neural mechanism previous to retinotopic projections. Finally, the implications of this computational paradigm with maps in the context of the definition, design, building and evaluation of bioinspired systems is discussed. © 2009 Springer Berlin Heidelberg.