Title
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.
Year
DOI
Venue
2009
10.1007/978-3-642-02264-7_9
IWINAC (1)
Keywords
Field
DocType
association mapping,artificial intelligent
Auditory cortex,Computer vision,Computer science,Artificial intelligence,Perception,Machine learning,Robotics,Computation
Conference
Volume
ISSN
Citations 
5601
0302-9743
0
PageRank 
References 
Authors
0.34
2
3
Name
Order
Citations
PageRank
José Manuel Ferrández De Vicente14211.19
Ana E. Delgado224316.85
José Mira354371.44