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Zhuanghua Shi

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Professor

Ludwig-Maximilians-Universität München

Germany

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About

Professor Zhuanghua Shi is a faculty member at Ludwig-Maximilians-Universität München, Germany. His research interests encompass cognitive psychology and neuroscience, focusing on areas such as predictive processing in autism spectrum disorders, attention mechanisms, and perceptual learning. Recent articles authored by Professor Shi explore topics including functional connectivity using resting-state fMRI and the effects of distractors in visual search tasks.

Recent Grants

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Influences of uncertainty on context guidance and suppression in context learning: neural and computational mechanisms

Open Date: 2022-01-01

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Grant: Close

Value-driven Crossmodal Attention

Open Date: 2019-01-01

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Mechanisms of spatial context learning through touch and vision

Open Date: 2018-01-01

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Dynamic priors and contextual calibration

Open Date: 2015-01-01

Close Date:

Grant: Close

Modeling Predictive Weighting Systems in Visual Search

Open Date: 2015-01-01

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2020

Collaborators (3)

Lukasz Grzeczkowski

Assistant Professor

SWPS University

POLAND

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Miloš Stanković

Technische Universität Dresden

GERMANY

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Martin Rolfs

Heisenberg Professor for Experimental Psychology: Active Perception and Cognition

Humboldt-Universität zu Berlin

GERMANY

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Zhuanghua Shi

Research Interests

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About

Recent Grants

Articles (19)

Are prediction error modifications domain-specific in autism but domain-general in ADHD?

Distractors sharing critical target features summon, but do not engage, attention: An EEG study ☆

How to measure functional connectivity using resting-state fMRI? A comprehensive empirical exploration of different connectivity metrics

Predictive Processing in Autism Spectrum Disorder: The Atypical Iterative Prior Updating Account

The impact of task measurements on sequential dependence: a comparison between temporal reproduction and discrimination tasks

Dynamic suppression of likely distractor locations: Task-critical modulation

Task-irrelevant valence-preferred colors boost visual search for a singleton-shape target

Asymmetric learning of dynamic spatial regularities in visual search: Robust facilitation of predictable target locations, fragile suppression of distractor locations.

Perceptual learning across saccades: Feature but not location specific

Reference induces biases in late visual processing

Individual beliefs about temporal continuity explain variation of perceptual biases

The origin of Vierordt's law: The experimental protocol matters

V5/MT+ modulates spatio-temporal integration differently across and within hemifields: Causal evidence from TMS

Inter-trial effects in priming of pop-out: Comparison of computational updating models

When visual distractors predict tactile search: The temporal profile of cross-modal spatial learning.

Temporal bisection is influenced by ensemble statistics of the stimulus set

Influences of luminance contrast and ambient lighting on visual context learning and retrieval

Crossmodal learning of target-context associations: When would tactile context predict visual search?

To quit or not to quit in dynamic search

Collaborators (3)

Lukasz Grzeczkowski

Miloš Stanković

Martin Rolfs

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