Recent advances in deep learning have enabled effective interpretation of neural activity patterns from electroencephalogram signals; however, challenges persist in invasive brain signals for ...

(Boston)—Recently, there has been convergence of thought by researchers in the fields of memory, perception, and neurology that the same neural circuitry that produces conscious memory of the past not ...

A simple and clear explanation of stochastic depth — a powerful regularization technique that improves deep neural network training. #StochasticDepth #NeuralNetworks #DeepLearning China issues new ...

This project will determine the neural encoding of opioid-paired cues and how the neural and behavioral effects of cue-presentation are impacted by treatment with GLP-1 agonists. The chronic relapsing ...

Purpose: to analyze neural encoding of speech sounds by Frequency-following response (FFR) and verify whether there are variations in idiopathic speech sound disorder (SSD), according to symptom ...

The auditory system enables animals to navigate and interpret their acoustic environment through sophisticated neural computations. This process begins with the conversion of sound waves into ...

This paper presents valuable findings on the processing of sound mixtures in the auditory cortex of ferrets, a species widely used for studies of auditory processing. Using the convenient and ...