Results 101 to 110 of about 182,579 (322)
The influence of distraction on speech processing: How selective is selective attention?
, 2019 -* indicates shared first authorship - The present study investigated the effects of selective attention on the processing of morphosyntactic errors in unattended parts of speech.
Ebersberg*, M. +6 more
core +1 more source
Autism Research, EarlyView.ABSTRACT Activation of the temporoparietal junction (TPJ) is reduced in autism spectrum disorder (ASD) during social cognitive tasks. Therefore, anodal transcranial direct current stimulation (tDCS) of the TPJ may enhance social cognitive abilities in autistic individuals. In a multicenter, randomized, sham‐controlled, double‐blind parallel‐group Phase‐
Christina Luckhardt +18 more
wiley +1 more source
Electroencephalography in eating disorders
Neuropsychiatric Disease and Treatment, 2011 Ignacio Jáuregui-Lobera1,21Behavioral Sciences Institute, 2Pablo de Olavide University, Seville, SpainAbstract: Clinical applications of electroencephalography (EEG) are used with different objectives, EEG being a noninvasive and painless ...
Jáuregui-Lobera I
doaj
Deep learning with convolutional neural networks for EEG decoding and visualization
, 2017 PLEASE READ AND CITE THE REVISED VERSION at Human Brain Mapping: http://onlinelibrary.wiley.com/doi/10.1002/hbm.23730/full Code available here: https://github.com/robintibor/braindecodeComment: A revised manuscript (with the new title) has been ...
Ball, Tonio +8 more
core +1 more source
Dissociation of Cerebral Blood Flow and Femoral Artery Blood Pressure Pulsatility After Cardiac Arrest and Resuscitation in a Rodent Model: Implications for Neurological Recovery. [PDF]
, 2020 Background Impaired neurological function affects 85% to 90% of cardiac arrest (CA) survivors. Pulsatile blood flow may play an important role in neurological recovery after CA.
Akbari, Yama +6 more
core +1 more source
Auditory and Semantic Processing of Speech‐in‐Noise in Autism: A Behavioral and EEG Study
Autism Research, EarlyView.ABSTRACT Autistic individuals often struggle to recognize speech in noisy environments, but the neural mechanisms behind these challenges remain unclear. Effective speech‐in‐noise (SiN) processing relies on auditory processing, which tracks target sounds amidst noise, and semantic processing, which further integrates relevant acoustic information to ...
Jiayin Li +4 more
wiley +1 more source
Deep Learning of Human Perception in Audio Event Classification
, 2018 In this paper, we introduce our recent studies on human perception in audio event classification by different deep learning models. In particular, the pre-trained model VGGish is used as feature extractor to process audio data, and DenseNet is trained by
Beuret, Samuel +3 more
core +1 more source
QUANTITATIVE ELECTROENCEPHALOGRAPHY IN MAN AS A MEASURE OF CNS STIMULATION* [PDF]
, 1963 Leonide Goldstein +2 more
openalex +1 more source
Neural electrodes for brain‐computer interface system: From rigid to soft
BMEMat, EarlyView.Here, we review the development trends of neural electrodes in BCI. This paper highlights the critical role of electrodes in BCI systems, analyzes the limitations of rigid electrodes, and introduces various flexible electrodes. Furthermore, we discuss application scenarios and prospects of BCI electrode technology, aiming to provide valuable references
Dan Yang +7 more
wiley +1 more source