Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

DEPRESSION treatment response was predicted with high accuracy using short segments of resting-state electroencephalography (EEG), according to new research that modelled selective serotonin reuptake ...

These connectivity features were identified through a data-driven method, employing machine learning. We carried out some automatic, moderate pre-processing and extracted spectral connectivity ...

Scientists found that tuning into joyful or soft music can cut motion sickness by over half, offering a simple brain-based solution to nausea during travel. Study: A study on the mitigating effect of ...

Abstract: PD is progressive neurodegenerative ailment that significantly affects life quality owing to death of dopamine-generating neurons in brain's area of substantia nigra. Symptoms include ...

A new study shows that even a moderate dose of caffeine alters brain activity during sleep, increasing complexity and nudging neural systems toward a high-efficiency processing state, especially in ...

Abstract: Electroencephalogram (EEG) analysis is a critical tool for diagnosing various neurological disorders. Intelligent EEG models facilitate the analysis and diagnosis of these conditions.

Advances in intracranial electroencephalography (iEEG) and neurophysiology have enabled the study of previously inaccessible brain regions with high fidelity temporal and spatial resolution. Studies ...

Brain activation in response to spoken motor commands can be detected by electroencephalography (EEG) in clinically unresponsive patients. The prevalence and prognostic importance of a dissociation ...

Automatic speech recognition helps enrich next-gen AI with emotional intelligence abilities by grasping the emotion from voice and words. After more than two decades of research, the field has matured ...