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Identification of the Reichardt elementary motion detector model
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Physiology.
2015 (English)In: Signal and Image Analysis for Biomedical and Life Sciences, Springer, 2015, 83-105 p.Chapter in book (Refereed)
Abstract [en]

The classical Hassenstein-Reichardt mathematical elementary motion detector (EMD) model is treated analytically. The EMD is stimulated with drifting sinusoidal gratings, which are often used in motion vision research, thus enabling direct comparison with neural responses from motion-sensitive neurones in the fly brain. When sinusoidal gratings are displayed on a cathode ray tube monitor, they are modulated by the refresh rate of the monitor. This generates a pulsatile signature of the visual stimulus, which is also seen in the neural response. Such pulsatile signals make a Laguerre domain identification method for estimating the parameters of a single EMD suitable, allowing estimation of both finite and infinite-dimensional dynamics. To model the response of motion-sensitive neurones with large receptive fields, a pool of spatially distributed EMDs is considered, with the weights of the contributing EMDs fitted to the neural data by a sparse estimation method. Such an EMD-array is more reliably estimated by stimulating with multiple sinusoidal gratings, since these provide higher spatial excitation than a single sinusoidal grating. Consequently, a way of designing the visual stimuli for a certain order of spatial resolution is suggested.

Place, publisher, year, edition, pages
Springer, 2015. 83-105 p.
Series
Advances in Experimental Medicine and Biology, ISSN 0065-2598 ; 823
National Category
Control Engineering Physiology
Identifiers
URN: urn:nbn:se:uu:diva-249047DOI: 10.1007/978-3-319-10984-8_5ISI: 000350427300006PubMedID: 25381103ISBN: 978-3-319-10983-1 (print)OAI: oai:DiVA.org:uu-249047DiVA: diva2:805857
Available from: 2014-10-13 Created: 2015-04-10 Last updated: 2015-04-16Bibliographically approved

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Hidayat, EgiMedvedev, AlexanderNordström, Karin

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