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Vision Sciences Society Annual Meeting Abstract September 2024

Metacognition is mentally demanding: revealing the costs and consequences of metacognitive effort

Julian Matthews; Atsushi Kikumoto; Kentaro Miyamoto; Kazuhisa Shibata

Journal of Vision. 2024; 24(10):448. https://doi.org/10.1167/jov.24.10.448

Vision Sciences Society Annual Meeting Abstract August 2023

Visual perceptual learning of natural and Portilla & Simoncelli images occurs in a significantly different manner than visual perceptual learning of unnatural images

Kazuhisa Shibata; Daiki Ogawa; Yuka Sasaki; Takeo Watanabe

Journal of Vision. 2023; 23(9):5071. https://doi.org/10.1167/jov.23.9.5071

Vision Sciences Society Annual Meeting Abstract December 2022

Distinct brain mechanisms of remembering individual events and their relationships

Yoko Higuchi; Ethan Oblak; Kazuhisa Shibata

Journal of Vision. 2022; 22(14):3210. https://doi.org/10.1167/jov.22.14.3210

Vision Sciences Society Annual Meeting Abstract September 2021

Higher-order statistics contained in natural scenes allow task-irrelevant visual perceptual learning of supra-threshold orientation to occur

Kazuhisa Shibata; Daiki Ogawa; Yuka Sasaki; Takeo Watanabe

Journal of Vision. 2021; 21(9):2343. https://doi.org/10.1167/jov.21.9.2343

Article August 2021

Visual perceptual learning of a primitive feature in human V1/V2 as a result of unconscious processing, revealed by decoded functional MRI neurofeedback (DecNef)

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Zhiyan Wang; Masako Tamaki; Sebastian M. Frank; Kazuhisa Shibata; Michael S. Worden; Takashi Yamada; Mitsuo Kawato; Yuka Sasaki; Takeo Watanabe
TAGS: functional magnetic resonance imaging, motion, neurofeedback, primary visual cortex, unconsciousness, perceptual learning
Journal of Vision. 2021; 21(8):24. https://doi.org/10.1167/jov.21.8.24

Vision Sciences Society Annual Meeting Abstract October 2020

Visual perceptual learning (VPL) of background natural scenes works in a different manner than that of artificial images—the first step for systematic investigations of VPL of natural scenes

Kazuhisa Shibata; Daiki Ogawa; Yuka Sasaki; Takeo Watanabe

Journal of Vision. 2020; 20(11):942. https://doi.org/10.1167/jov.20.11.942

Vision Sciences Society Annual Meeting Abstract September 2019

Extensive training with feedback reduces attentional demand in visual feature binding

Yoko Higuchi; Naotsugu Tsuchiya; Ryota Kanai; Kazuhisa Shibata

Journal of Vision. 2019; 19(10):185a. https://doi.org/10.1167/19.10.185a

Vision Sciences Society Annual Meeting Abstract September 2018

Feature-based plasticity revealed by decoded fMRI neural feedback (DecNef)

Zhiyan Wang; Masako Tamaki; Kazuhisa Shibata; Michael Worden; Yuka Sasaki; Takeo Watanabe

Journal of Vision. 2018; 18(10):759. https://doi.org/10.1167/18.10.759

Vision Sciences Society Annual Meeting Abstract August 2017

Reduction in adaptation is necessary for perceptual learning to occur

Kazuhisa Shibata; Ariel Choi; Yuka Sasaki; Takeo Watanabe

Journal of Vision. 2017; 17(10):488. https://doi.org/10.1167/17.10.488

Vision Sciences Society Annual Meeting Abstract August 2017

Visual Perceptual Learning of Faces modifies a physiological abnormality in patients with Body Dysmorphic Disorder to a normal level

Qingleng Tan; Kazuhisa Shibata; Katharine philips; David Sheinberg; Yuka Sasaki; Takeo Watanabe

Journal of Vision. 2017; 17(10):1075. https://doi.org/10.1167/17.10.1075

Vision Sciences Society Annual Meeting Abstract September 2016

Creation of no-aftereffect-based associative learning of color and orientation without presenting color by decoded fMRI neurofeedback.

Kaoru Amano; Kazuhisa Shibata; Mitsuo Kawato; Yuka Sasaki; Takoe Watanabe

Journal of Vision. 2016; 16(12):557. https://doi.org/10.1167/16.12.557

Vision Sciences Society Annual Meeting Abstract September 2016

Overlearning of a visual task makes the learning rapidly hyper-stabilized to protect it from being overwritten by training on a new task –A new role of overlearning since 1885–

Kazuhisa Shibata; Maro Machizawa; Edward Walsh; Ji-Won Bang; Yuka Sasaki; Takeo Watanabe

Journal of Vision. 2016; 16(12):1097. https://doi.org/10.1167/16.12.1097

Vision Sciences Society Annual Meeting Abstract September 2015

Explaining anterograde and retrograde interference in visual perceptual learning by a limited plasticity resource model

Qingleng Tan; Kazuhisa Shibata; Yuka Sasaki; Takeo Watanabe

Journal of Vision. 2015; 15(12):31. https://doi.org/10.1167/15.12.31

Vision Sciences Society Annual Meeting Abstract September 2015

The neural mechanism of stabilization of perceptual learning revealed by the concentration of excitatory and inhibitory neurotrasmitter

Kazuhisa Shibata; Maro Machizawa; Edward Walsh; Ji-Won Bang; Li-Hung Chang; Aaron Berard; Qingleng Tan; Yuka Sasaki; Takeo Watanabe

Journal of Vision. 2015; 15(12):32. https://doi.org/10.1167/15.12.32

Vision Sciences Society Annual Meeting Abstract September 2015

Neural mechanism of reactivation of consolidated perceptual learning revealed by the concentration of excitatory and inhibitory neurotransmitters

Ji Won Bang; Kazuhisa Shibata; Takeo Watanabe; Yuka Sasaki

Journal of Vision. 2015; 15(12):1301. https://doi.org/10.1167/15.12.1301

Vision Sciences Society Annual Meeting Abstract August 2014

Human facial preferences are changed at the mercy of decoded fMRI neurofeedback

Kazuhisa Shibata; Yuka Sasaki; Mitsuo Kawato; Takeo Watanabe

Journal of Vision. 2014; 14(10):606. https://doi.org/10.1167/14.10.606

Vision Sciences Society Annual Meeting Abstract July 2013

When is old better? Task Irrelevant Perceptual Learning with older people

Li-Hung Chang; Kazuhisa Shibata; Yuko Yotsumoto; John Andersen; Yuka Sasaki; Takeo Watanabe

Journal of Vision. 2013; 13(9):556. https://doi.org/10.1167/13.9.556

Vision Sciences Society Annual Meeting Abstract July 2013

Perceptual learning is associated with different types of plasticity at different stages ͨ2; revealed by fMRI

Kazuhisa Shibata; Yuka Sasaki; Mitsuo Kawato; Takeo Watanabe

Journal of Vision. 2013; 13(9):604. https://doi.org/10.1167/13.9.604

Vision Sciences Society Annual Meeting Abstract August 2012

Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation

Kazuhisa Shibata; Yuka Sasaki; Mitsuo Kawato; Takeo Watanabe

Journal of Vision. 2012; 12(9):282. https://doi.org/10.1167/12.9.282

Vision Sciences Society Annual Meeting Abstract September 2011

Ventral lateral prefrontal areas reflect an influence of past experiences of weak signals on perceptual decision making

Shigeaki Nishina; Dongho Kim; Kazuhisa Shibata; Ji-Won Bang; Gojko Zaric; José Náñez; Yuka Sasaki; Takeo Watanabe

Journal of Vision. 2011; 11(11):809. https://doi.org/10.1167/11.11.809

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Metacognition is mentally demanding: revealing the costs and consequences of metacognitive effort

Visual perceptual learning of natural and Portilla & Simoncelli images occurs in a significantly different manner than visual perceptual learning of unnatural images

Distinct brain mechanisms of remembering individual events and their relationships

Higher-order statistics contained in natural scenes allow task-irrelevant visual perceptual learning of supra-threshold orientation to occur

Visual perceptual learning of a primitive feature in human V1/V2 as a result of unconscious processing, revealed by decoded functional MRI neurofeedback (DecNef)

Visual perceptual learning (VPL) of background natural scenes works in a different manner than that of artificial images—the first step for systematic investigations of VPL of natural scenes

Extensive training with feedback reduces attentional demand in visual feature binding

Feature-based plasticity revealed by decoded fMRI neural feedback (DecNef)

Reduction in adaptation is necessary for perceptual learning to occur

Visual Perceptual Learning of Faces modifies a physiological abnormality in patients with Body Dysmorphic Disorder to a normal level

Creation of no-aftereffect-based associative learning of color and orientation without presenting color by decoded fMRI neurofeedback.

Overlearning of a visual task makes the learning rapidly hyper-stabilized to protect it from being overwritten by training on a new task –A new role of overlearning since 1885–

Explaining anterograde and retrograde interference in visual perceptual learning by a limited plasticity resource model

The neural mechanism of stabilization of perceptual learning revealed by the concentration of excitatory and inhibitory neurotrasmitter

Neural mechanism of reactivation of consolidated perceptual learning revealed by the concentration of excitatory and inhibitory neurotransmitters

Human facial preferences are changed at the mercy of decoded fMRI neurofeedback

When is old better? Task Irrelevant Perceptual Learning with older people

Perceptual learning is associated with different types of plasticity at different stages ͨ2; revealed by fMRI

Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation

Ventral lateral prefrontal areas reflect an influence of past experiences of weak signals on perceptual decision making

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