Search Results for author: Eiji Watanabe

Found 4 papers, 1 papers with code

Evolutionary Generation of Visual Motion Illusions

1 code implementation25 Dec 2021 Lana Sinapayen, Eiji Watanabe

Why do we sometimes perceive static images as if they were moving?

Artificial Life

Impact of GPU uncertainty on the training of predictive deep neural networks

no code implementations3 Sep 2021 Maciej Pietrowski, Andrzej Gajda, Takuto Yamamoto, Taisuke Kobayashi, Lana Sinapayen, Eiji Watanabe

GPU-specific computational processing is more indeterminate than that by CPUs, and hardware-derived uncertainties, which are often considered obstacles that need to be eliminated, might, in some cases, be successfully incorporated into the training of deep neural networks.

Motion Illusion-like Patterns Extracted from Photo and Art Images Using Predictive Deep Neural Networks

no code implementations23 Jun 2021 Taisuke Kobayashi, Akiyoshi Kitaoka, Manabu Kosaka, Kenta Tanaka, Eiji Watanabe

In our previous study, we successfully reproduced the illusory motion of the rotating snakes illusion using deep neural networks incorporating predictive coding theory.

Artificial Perception Meets Psychophysics, Revealing a Fundamental Law of Illusory Motion

no code implementations18 Jun 2021 Taisuke Kobayashi, Eiji Watanabe

Rotating Snakes is a visual illusion in which a stationary design is perceived to move dramatically.

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