Resh S. Gupta
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View article: Motivational context and neurocomputation of stop expectation moderate early attention responses supporting proactive inhibitory control
Motivational context and neurocomputation of stop expectation moderate early attention responses supporting proactive inhibitory control Open
Alterations in attention to cues signaling the need for inhibitory control play a significant role in a wide range of psychopathology. However, the degree to which motivational and attentional factors shape the neurocomputations of proacti…
View article: Multidomain Convolution Neural Network Models for Improved Event-Related Potential Classification
Multidomain Convolution Neural Network Models for Improved Event-Related Potential Classification Open
Two convolution neural network (CNN) models are introduced to accurately classify event-related potentials (ERPs) by fusing frequency, time, and spatial domain information acquired from the continuous wavelet transform (CWT) of the ERPs re…
View article: Exploiting the Cone of Influence for Improving the Performance of Wavelet Transform-Based Models for ERP/EEG Classification
Exploiting the Cone of Influence for Improving the Performance of Wavelet Transform-Based Models for ERP/EEG Classification Open
Features extracted from the wavelet transform coefficient matrix are widely used in the design of machine learning models to classify event-related potential (ERP) and electroencephalography (EEG) signals in a wide range of brain activity …
View article: Neural markers of emotion regulation difficulties moderate effects of COVID‐19 stressors on adolescent depression
Neural markers of emotion regulation difficulties moderate effects of COVID‐19 stressors on adolescent depression Open
Results provide insight into adolescent mental health during the COVID-19 pandemic and highlight the role of emotion regulatory brain function in risk and resilience for depression.
View article: A Preliminary Investigation of ERP Components of Attentional Bias in Anxious Adults Using Temporospatial Principal Component Analysis
A Preliminary Investigation of ERP Components of Attentional Bias in Anxious Adults Using Temporospatial Principal Component Analysis Open
Threat-related attention bias is thought to contribute to the development and maintenance of anxiety disorders. Dot-probe studies using event-related potentials (ERPs) have indicated that several early ERP components are modulated by threa…
View article: CINET: A Brain-Inspired Deep Learning Context-Integrating Neural Network Model for Resolving Ambiguous Stimuli
CINET: A Brain-Inspired Deep Learning Context-Integrating Neural Network Model for Resolving Ambiguous Stimuli Open
The brain uses contextual information to uniquely resolve the interpretation of ambiguous stimuli. This paper introduces a deep learning neural network classification model that emulates this ability by integrating weighted bidirectional c…
View article: Adult Age Differences in the Use of Conceptual Combination as an Associative Encoding Strategy
Adult Age Differences in the Use of Conceptual Combination as an Associative Encoding Strategy Open
It is well-established that aging impairs memory for associations more than it does memory for single items. Aging also impacts processes involved in online language comprehension, including the ability to form integrated, message-level re…
View article: Multimodal Object Classification Models Inspired by Multisensory Integration in the Brain
Multimodal Object Classification Models Inspired by Multisensory Integration in the Brain Open
Two multimodal classification models aimed at enhancing object classification through the integration of semantically congruent unimodal stimuli are introduced. The feature-integrating model, inspired by multisensory integration in the sub…