Hysteresis in the Perception of Visual Unity - Confirmation of a Neural Network Model Prediction

Ian Bright, Raymond Pavloski

Abstract

In response to a simulated retinal image of an object, the recurrent input to a richly connected artificial neural network organizes into a connected open set (COS) of ionic conductance values, which models the continuity and unity of a visual object. As the density of light dots on a dark background increases and then decreases, a COS appears at a density that is higher than that at which it disappears (hysteresis). This experiment tested the hypothesis that humans will show hysteresis similar to that of the simulation. In addition, the effect of dot lightness on the perception of a unified visual object was also tested.

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Paper Citation


in Harvard Style

Bright I. and Pavloski R. (2015). Hysteresis in the Perception of Visual Unity - Confirmation of a Neural Network Model Prediction . In Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX, ISBN 978-989-758-161-8, pages 49-53. DOI: 10.5220/0005663300490053


in Bibtex Style

@conference{neurotechnix15,
author={Ian Bright and Raymond Pavloski},
title={Hysteresis in the Perception of Visual Unity - Confirmation of a Neural Network Model Prediction},
booktitle={Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX,},
year={2015},
pages={49-53},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005663300490053},
isbn={978-989-758-161-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX,
TI - Hysteresis in the Perception of Visual Unity - Confirmation of a Neural Network Model Prediction
SN - 978-989-758-161-8
AU - Bright I.
AU - Pavloski R.
PY - 2015
SP - 49
EP - 53
DO - 10.5220/0005663300490053