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2007

Bat echolocation modelling using spike kernels with Support Vector Regression

8 years 10 months ago
Bat echolocation modelling using spike kernels with Support Vector Regression
Abstract. From the echoes of their vocalisations bats extract information about the positions of reflectors. To gain an understanding of how target position is translated into neural features, we model the bat’s peripheral auditory system up until the auditory nerve. This model assumes multiple threshold detecting neurons for each frequency channel where the inter-spike times are linked to the location of the reflector. To show that this coding process can be reversed we compute the kernel product of the spike trains using a non-binned spike kernel function. This approach allows doing regression on azimuth and elevation using Support Vector Machines.
Bertrand Fontaine, Herbert Peremans, Benjamin Schr
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ESANN
Authors Bertrand Fontaine, Herbert Peremans, Benjamin Schrauwen
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