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Perceiving emotions in the eyes: The biasing role of a fearful mouth.

Biol Psychol

December 2024

Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian 116029, China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian 116029, China. Electronic address:

The role of the eye region in interpersonal communication and emotional recognition is widely acknowledged. However, the influence of mouth expression on perceiving and recognizing genuine emotions in the eye region, especially with limited attentional resources, remains unclear. Thirty-four participants in this study completed a dual-target rapid serial visual presentation (RSVP) task while their event-related potential (ERP) data were simultaneously recorded.

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Cloud environment handles heterogeneous services, data, and users collaborating on different technologies and resource scheduling strategies. Despite its heterogeneity, the optimality in load scheduling and data distribution is paused due to unattended requests for a prolonged time. This article addresses the aforementioned issue using a Two-level Scheduling and Distribution Framework (TSDF) using Fuzzy Logic (FL).

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DNA is considered as a prospective candidate for the next-generation data storage medium, due to its high coding density, long cold-storage lifespan, and low energy consumption. Despite these advantages, challenges remain in achieving high-fidelity, fully integrated, and cost-efficient DNA storage system. In this study, a homemade digital microfluidic (DMF)-based compact DNA data storing pipeline is orchestrated to complete the entire process from the synthesis to the sequencing.

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Objective: Adolescents with acquired brain injuries are at risk for additional injuries after hospital discharge. We asked healthcare providers to identify and prioritise urgent hazards in the home setting for this population.

Methods: We used a convergent mixed methods approach.

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Deep-learning models reveal how context and listener attention shape electrophysiological correlates of speech-to-language transformation.

PLoS Comput Biol

November 2024

Department of Neuroscience and Del Monte Institute for Neuroscience, University of Rochester, Rochester, New York, United States of America.

Article Synopsis
  • The human brain transforms continuous speech into words by interpreting various factors like intonation and accents, and this process can be modeled using EEG recordings.
  • Contemporary models tend to overlook how sounds are categorized in the brain, limiting our understanding of speech processing.
  • The study finds that deep-learning systems like Whisper improve EEG modeling of speech comprehension by incorporating context and demonstrating that linguistic structure is crucial for accurate brain function representation, especially in complex listening environments.
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