Shengjie Xu

Learning and Using Different Task Rule Updating Strategies Require Extensive Practice

Shengjie Xu, Tanya Wen, Tobias Egner, Tom Verguts et autres

People adjust how fast they update task rules, depending on the volatility of their environment, by regulating cognitive control accordingly. We investigated whether this adaptation is primarily driven by recently experienced volatility in task demands, or can also be shaped by learned …

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Learning and using different task updating strategies require extensive practice

Shengjie Xu

data and scripts for the paper titled, Learning and using different task updating strategies require extensive practice

A Multi-Head Attention Transformer Model for Wearable in Situ Fall Detection

Jingxiao Tian, Shengjie Xu, Peter Gerstoft, Mahasweta Sarkar et autres

Falls represent a critical health hazard for elderly individuals, often leading to severe injuries and decreased quality of life. While existing fall detection systems predominantly rely on threshold-based algorithms or conventional machine learning approaches like CNNs and RNNs, they frequently exhibit limitations …

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Learning when to learn: Context-specific instruction encoding

Shengjie Xu, Mengqiao Chai, Baptist Liefooghe, Elger L. Abrahamse et autres

Humans are efficient at learning new behaviors through verbal instructions, bypassing the need for trial-and-error learning, but requiring a certain degree of cognitive flexibility. Recent theories suggest that abstract functions of cognition, like cognitive flexibility, can be (up)regulated by contextual features in …

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Intertemporal choice across short and long time horizons: an fMRI study

Shengjie Xu, Jeffrey C. Erlich, Evgeniya Lukinova

Abstract This preregistered fMRI study investigates the neural mechanisms underlying intertemporal choices involving waiting and postponing. On a behavioral level, choices made regarding rewards available in seconds that require waiting compared to choices about rewards postponed to a number days are surprisingly …

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A shared temporal window of integration across cognitive control and reinforcement learning paradigms: A correlational study

Nicola Vasta, Shengjie Xu, Tom Verguts, Senne Braem

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Cognitive flexibility versus stability via activation-based and weight-based adaptations

Shengjie Xu, Tom Verguts, Senne Braem

Humans are remarkably efficient at adapting to different contextual demands by exerting optimal levels of cognitive flexibility versus stability for switching between different tasks. Here, we show how a recurrent neural network can be used to simulate behavioral indices of cognitive flexibility …

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One cannot simply 'be flexible’: regulating control parameters requires learning

Senne Braem, Mengqiao Chai, Leslie K. Held, Shengjie Xu

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Learning where to be flexible: Using environmental cues to regulate cognitive control.

Shengjie Xu, Jonas Simoens, Tom Verguts, Senne Braem

= 52). Together, these findings suggest that people can associate the need for cognitive flexibility with their environment, providing an environmental triggering mechanism for cognitive control. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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A shared temporal window of integration across cognitive control and reinforcement learning paradigms: A correlational study

Nicola Vasta, Shengjie Xu, Tom Verguts, Senne Braem

Cognitive control refers to the ability to override prepotent response tendencies to achieve goal-directed behavior. Instead, reinforcement learning refers to the learning of actions through feedback and reward. Although cognitive control and reinforcement learning are often viewed as opposing forces in driving …

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Learning of Cognitive Control during Task Switching in Recurrent Neural Networks

Shengjie Xu, Tom Verguts, Senne Braem

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Learning where to be flexible: Using environmental cues to regulate cognitive control

Shengjie Xu, Jonas Simoens, Tom Verguts, Senne Braem

Cognitive flexibility refers to a mental state that allows efficient switching between tasks. While deciding to be flexible is often ascribed to a strategic resource-intensive executive process, people may also simply use their environment to trigger different states of mental flexibility. We …

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