Complex trade-offs in a dual-target visual search task are indexed by lateralised ERP components
In everyday tasks, the choices we make incorporate complex trade-offs between conflicting
factors that affect how we will achieve our goals. Previous experimental research has used …
factors that affect how we will achieve our goals. Previous experimental research has used …
The electrophysiological markers of statistically learned attentional enhancement: evidence for a saliency-based mechanism
It is well established that attention can be sharpened through the process of statistical
learning (eg, visual search becomes faster when targets appear at high-relative-to-low …
learning (eg, visual search becomes faster when targets appear at high-relative-to-low …
Transfer of statistical learning between tasks.
Recent studies have shown that observers can learn to suppress locations in the visual field
with a high distractor probability. Here, we investigated whether this learned suppression …
with a high distractor probability. Here, we investigated whether this learned suppression …
[HTML][HTML] The dynamics of statistical learning in visual search and its interaction with salience processing: An EEG study
Visual attention can be guided by statistical regularities in the environment, that people
implicitly learn from past experiences (statistical learning, SL). Moreover, a perceptually …
implicitly learn from past experiences (statistical learning, SL). Moreover, a perceptually …
Intimate relationships regulate female brain activity in a competitive context: evidence from EEG and functional connectivity analysis
Y Liu, S Jia, Y Meng, M **ng, J Guan, J Jiang… - Cerebral …, 2024 - academic.oup.com
Competition is common in life, and intimate relationships are essential. Understanding how
intimate relationships impact an individual's competitive process is crucial. This study …
intimate relationships impact an individual's competitive process is crucial. This study …
A Neural Network Model of Visual Attention Integrating Biased Competition and Reinforcement Learning
JM Morgan, B Albanna, JP Herman - bioRxiv, 2024 - biorxiv.org
We present a neural network model of visual attention (NNMVA) that integrates biased
competition and reinforcement learning to capture key aspects of attentional behavior. The …
competition and reinforcement learning to capture key aspects of attentional behavior. The …
Independent and interactive dynamics between statistical learning and inhibitory control
In an ever-changing environment, the synchronization of automatic and controlled behaviors
is imperative for achieving successful adaptation. The nature of the relationship between …
is imperative for achieving successful adaptation. The nature of the relationship between …
[PDF][PDF] AUTHOR COPY: Now published in JoCN
It is well established that attention can be sharpened through the process of statistical
learning–eg visual search becomes faster when targets appear at high-relative-to-low …
learning–eg visual search becomes faster when targets appear at high-relative-to-low …