NDLI: A theoretical framework for transfer of knowledge across modalities in artificial and biological systems

Content Provider	IEEE Xplore Digital Library
Author	Orabona, F. Caputo, B. Fillbrandt, A. Ohl, F.W.
Copyright Year	2009
Description	Author affiliation: Leibniz Institute for Neurobiology, Magdeburg, Germany (Fillbrandt, A.; Ohl, F.W.) \|\| Idiap Research Institute, 1920 Martigny, Switzerland (Orabona, F.; Caputo, B.)
Abstract	Learning from sensory patterns associated with different kinds of sensors is paramount for biological systems, as it permits them to cope with complex environments where events rarely appear twice in the same way. In this paper we want to investigate how perceptual categories formed in one modality can be transferred to another modality in biological and artificial systems. We first present a study on Mongolian gerbils that show clear evidence of transfer of knowledge for a perceptual category from the auditory modality to the visual modality. We then introduce an algorithm that mimics the behavior of the rodents within the online learning framework. Experiments on simulated data produced promising results, showing the pertinence of our approach.
Starting Page	1
Ending Page	7
File Size	328303
Page Count	7
File Format	PDF
ISBN	9781424441174
DOI	10.1109/DEVLRN.2009.5175515
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Animals Biological system modeling Rodents Biological systems Auditory system Electrophysiology Amplitude modulation Spatiotemporal phenomena Pattern analysis
Content Type	Text
Resource Type	Article

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