Results 51 to 60 of about 870,001 (220)
EEG findings of reduced neural synchronization during visual integration in schizophrenia [PDF]
Schizophrenia patients exhibit well-documented visual processing deficits. One area of disruption is visual integration, the ability to form global objects from local elements.
Ford, JM +6 more
core
We present an efficient open-source implementation of the multiparticle collision dynamics (MPCD) algorithm that scales to run on hundreds of graphics processing units (GPUs).
Howard, Michael P. +2 more
core +1 more source
ABSTRACT Autism Spectrum Disorder (ASD) is characterized by certain difficulties in emotion‐related processing. Recent research using electroencephalography (EEG) to measure somatosensory evoked potentials during emotion perception has shown reduced embodiment of emotional expressions in autistic compared to neurotypical individuals, independently from
Martina Fanghella +5 more
wiley +1 more source
Neurophysiological functioning of occasional and heavy cannabis users during THC intoxication [PDF]
RATIONALE: Experienced cannabis users demonstrate tolerance to some of the impairing acute effects of cannabis. OBJECTIVES: The present study investigates whether event-related potentials (ERPs) differ between occasional and heavy cannabis users after ...
Eef L. Theunissen +6 more
core +1 more source
Conductive Hydrogel‐Enabled Electrode for Scalp Electroencephalography Monitoring
Conductive hydrogels are emerging as effective EEG electrode‐scalp interfaces to overcome hair barriers. This review presents the demanding parameters for hair‐compatible hydrogel electrodes and summarizes their applications in healthcare and brain‐computer interfaces.
Zichong Ji +14 more
wiley +1 more source
Antiretroviral therapy (ART) suppresses HIV replication, but does not cure the infection because replication-competent virus persists within latently infected CD4+ T cells throughout years of therapy. These reservoirs contain integrated HIV-1 genomes and
M. Bobardt +7 more
semanticscholar +1 more source
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam +3 more
wiley +1 more source
Objectives: The aim of this study was to evaluate subclinical multiple sclerosis (MS) patients with normal visual acuity using pattern visual evoked potentials (PVEP) test and central 30-2 threshold visual field (VF) test.
Sinan Bilgin +2 more
doaj +1 more source
Exascale Deep Learning for Climate Analytics
We extract pixel-level masks of extreme weather patterns using variants of Tiramisu and DeepLabv3+ neural networks. We describe improvements to the software frameworks, input pipeline, and the network training algorithms necessary to efficiently scale ...
Deslippe, Jack +11 more
core +1 more source
Optimization of photobiomodulation therapy for spinal cord injury: A review
Photobiomodulation (PBM) therapy in the red and near‐infrared range can significantly modulate the secondary injury response and promote the reparative and regenerative potential of neural tissue after spinal cord injury (SCI). At present, due to the nature of delivery methods, the most effective dose and irradiance at the injury site to optimize ...
Isabella K. M. Drew +3 more
wiley +1 more source

