A Data Model for the Morphogenetic Neuron and its Analogy with the Physical Model of Belief and Plausibility Measures
conference paper
The classical motivation for data fusion is the presumption that high quality primary data are of paramount importance to the success of all subsequent stages.
ln this paper we argue against this view in this paper. This appears to be in line with recent research in neurobiology. For example the auditory place cells found in the barn owl are believed to 'compute' the azimuthal position of a sound source by detecting a time coincidence between signals which appear delayed with respect to each other by the difference of the pathlengths between the sound source and each ear. In this case trvo inputs control the same auditory direction cellsf. Two signals are fused to obtain the azimuthal dimension position. The defects of the primary signals are not really important, the importance is connected with the delay of the signals, as noted by Kosk 2: We note that the added value of fusion of similar sensors must originate from a non-Iinear combination of sensor data streams. This remark naturally gives rise to the application of novel
non-linear models suggested again by neuroscience.
ln this paper we argue against this view in this paper. This appears to be in line with recent research in neurobiology. For example the auditory place cells found in the barn owl are believed to 'compute' the azimuthal position of a sound source by detecting a time coincidence between signals which appear delayed with respect to each other by the difference of the pathlengths between the sound source and each ear. In this case trvo inputs control the same auditory direction cellsf. Two signals are fused to obtain the azimuthal dimension position. The defects of the primary signals are not really important, the importance is connected with the delay of the signals, as noted by Kosk 2: We note that the added value of fusion of similar sensors must originate from a non-Iinear combination of sensor data streams. This remark naturally gives rise to the application of novel
non-linear models suggested again by neuroscience.
TNO Identifier
95096
Publisher
World Scientific
Source title
Fuzzy Logic and Intelligent Technologies for Nuclear Science and Industry - Proceedings of the 3rd International FLINS Workshop, Antwerp, Belgium, September 14-16, 1998
Editor(s)
Ruan, D.
Abderrahim, H.A.
D'hondt, P.
Kerre, E.E.
Abderrahim, H.A.
D'hondt, P.
Kerre, E.E.
Place of publication
Singapore
Pages
218-227
Files
To receive the publication files, please send an e-mail request to TNO Repository.