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Dynamic Detectors of Oriented Spatial Contrast from Isotropic Fixational Eye Movements


Testa, Simone; Indiveri, Giacomo; Sabatini, Silvio (2020). Dynamic Detectors of Oriented Spatial Contrast from Isotropic Fixational Eye Movements. In: 15th International Conference on Computer Vision Theory and Applications, Valletta, Malta, 27 February 2020 - 29 February 2020.

Abstract

Good vision proficiency and a complex set of eye movements are frequently coexisting. Even during fixation, our eyes keep moving in microscopic and erratic fashion, thus avoiding stationary scenes from fading perceptually by preventing retinal adaptation. We artificially replicate the functionalities of biological vision by exploiting this active strategy with an event-based camera. The resulting neuromorphic active system redistributes the low temporal frequency power of a static image into a range the sensor can detect and encode in the timing of events. A spectral analysis of its output attested both whitening and amplification effects already postulated in biology depending on whether or not the stimulus’ contrast matched the 1/k falloff typical of natural images. Further evaluations revealed that the isotropic statistics of fixational eye movements is crucial for equalizing the response of the system to all possible stimulus orientations. Finally, the design of a biologically-rea listic spiking neural network allowed the detection of stimulus’ local orientation by anisotropic spatial summation of synchronous activity with both ON/OFF polarities.

Abstract

Good vision proficiency and a complex set of eye movements are frequently coexisting. Even during fixation, our eyes keep moving in microscopic and erratic fashion, thus avoiding stationary scenes from fading perceptually by preventing retinal adaptation. We artificially replicate the functionalities of biological vision by exploiting this active strategy with an event-based camera. The resulting neuromorphic active system redistributes the low temporal frequency power of a static image into a range the sensor can detect and encode in the timing of events. A spectral analysis of its output attested both whitening and amplification effects already postulated in biology depending on whether or not the stimulus’ contrast matched the 1/k falloff typical of natural images. Further evaluations revealed that the isotropic statistics of fixational eye movements is crucial for equalizing the response of the system to all possible stimulus orientations. Finally, the design of a biologically-rea listic spiking neural network allowed the detection of stimulus’ local orientation by anisotropic spatial summation of synchronous activity with both ON/OFF polarities.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Physical Sciences > Computer Graphics and Computer-Aided Design
Physical Sciences > Computer Science Applications
Physical Sciences > Computer Vision and Pattern Recognition
Language:English
Event End Date:29 February 2020
Deposited On:16 Feb 2021 08:40
Last Modified:17 Feb 2021 21:02
Publisher:SciTePress
ISBN:978-989-758-402-2
OA Status:Hybrid
Publisher DOI:https://doi.org/10.5220/0009170606740681

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