Dynamic Detectors of Oriented Spatial Contrast from Isotropic Fixational Eye Movements

Simone Testa, Giacomo Indiveri, Silvio P. Sabatini

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-realistic 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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Paper Citation


in Harvard Style

Testa S., Indiveri G. and Sabatini S. (2020). Dynamic Detectors of Oriented Spatial Contrast from Isotropic Fixational Eye Movements. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 674-681. DOI: 10.5220/0009170606740681


in Bibtex Style

@conference{visapp20,
author={Simone Testa and Giacomo Indiveri and Silvio P. Sabatini},
title={Dynamic Detectors of Oriented Spatial Contrast from Isotropic Fixational Eye Movements},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP},
year={2020},
pages={674-681},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009170606740681},
isbn={978-989-758-402-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP
TI - Dynamic Detectors of Oriented Spatial Contrast from Isotropic Fixational Eye Movements
SN - 978-989-758-402-2
AU - Testa S.
AU - Indiveri G.
AU - Sabatini S.
PY - 2020
SP - 674
EP - 681
DO - 10.5220/0009170606740681
PB - SciTePress