Data published in Scientific Reports confirms a low-burden visual evoked potential (VEP) assessment can be employed across multiple clinical trial sites as an objective measure of neuroplastic ...

Abstract: Sleep stage classification, essential for diagnosing sleep disorders, monitoring neurological health, and advancing cognitive neuroscience. Traditionally involves manual scoring of ...

The research team followed 176 adolescents who initially participated in an infancy temperament study, many of whom exhibited early behavioral inhibition, one of the “strongest and earliest known risk ...

The proposed optical computing chip enables high-speed, parallel processing for quantitative trading with unprecedented low latency, accelerating the crucial and demanding step of feature extraction.

Abstract: Graph Signal Processing (GSP), an emerging field, provides a flexible framework to model and analyze Electroencephalogram (EEG) sensor data that exhibit intricate relationships and ...

This important study uses simultaneous EEG and fMRI recordings to shed light on the relationship between alpha and gamma oscillations and specific cortical layers. The sophisticated methodology ...

Asynchronous I/O, OAuth authentication, expanded SQL standards support, and new extension capabilities give developers faster performance, stronger security, and greater flexibility. The PostgreSQL ...

Electroencephalogram (EEG) signal analysis plays a vital role in diagnosing and monitoring alcoholism, where accurate classification of individuals into alcoholic and control groups is essential.

We need an API to allow users to provide a natural language prompt for data extraction from relevant URLs. The system should identify target URLs and an appropriate JSON schema based on the prompt, ...

Schizophrenia (SCZ) is a severe mental disorder that impairs brain function and daily life, while its early and objective diagnosis remains a major clinical challenge due to the reliance on subjective ...