NDLI: The role of neural synchrony and rate in high-dimensional input systems. The Antennal Lobe: A case study

Content Provider	IEEE Xplore Digital Library
Author	Lechón, M. Martinez, D. Verschure, P.F.M.J. Bermüdez i. Badia, S.
Copyright Year	2010
Description	Author affiliation: LORIA, Campus Scientifique, B.P. 239, 54 506 Vandoeuvre-lès-Nancy, France (Martinez, D.) \|\| Department of Information and Communication Technologies, University Pompeu Fabra of Barcelona, Institute of Audio-Visual Studies (IUA), Communication-Poblenou Campus (LA NAU building). Roc Boronat, 138. 08018, Spain (Lechón, M.; Verschure, P.F.M.J.; Bermüdez i Badia, S.)
Abstract	Dealing with high-throughput information systems is becoming an everyday problem in many fields of science, as technological advances improve our ability to gather data. In particular, the information encoding problem in high-dimensional spaces is a crucial aspect to consider. In fact, biological systems are known to be very efficient at encoding and processing high-dimensional information. Here we propose a biologically-based solution that mimics the neural processing performed by the Antennal Lobe of insects. Based on our understanding of this system, our model exploits plausible neural mechanisms to transform the massive and high-dimensional spatial and temporal input of the olfactory receptor neurons into a neural population encoding based on synchrony and frequency, consistent with known physiology. We demonstrate the capabilities of our Antennal Lobe model in the context of a classification task of different olfactory stimuli of varying concentrations. We show that the generated neural representation conveys both the identity and the concentration of each stimuli.
Starting Page	1
Ending Page	5
File Size	656645
Page Count	5
File Format	PDF
ISBN	9781424469161
ISSN	10987576
e-ISBN	9781424469185
DOI	10.1109/IJCNN.2010.5596749
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-18
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Biological system modeling Encoding Olfactory Antennas Insects
Content Type	Text
Resource Type	Article

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