Sound onsets dominate spatial judgments of many types of periodic sound. Conversely, ongoing cues often dominate in spatial judgments of aperiodic noise. This study quantified onset dominance as a function of both the bandwidth and the temporal regularity of stimuli by measuring temporal weighting functions (TWF) from Stecker, Ostreicher, and Brown [(2013) J. Acoust. Soc. Am. 134, 1242-1252] for lateralization of periodic and aperiodic noise-burst trains. Stimuli consisted of 16 noise bursts (1 ms each) repeating at an interval of 2 or 5 ms. TWFs were calculated by multiple regression of lateralization judgments onto interaural time and level differences, which varied independently ( ±100 μs, ±2 dB) across bursts. Noise tokens were either refreshed on each burst (aperiodic) or repeated across sets of 2, 4, 8, or 16 bursts. TWFs revealed strong onset dominance for periodic noise-burst trains (16 repeats per token), which was markedly reduced in aperiodic trains. A second experiment measured TWFs for periodic but sinusoidally amplitude-modulated noise burst trains, revealing greater weight on the earliest and least intense bursts of the rising envelope slope. The results support the view that envelope fluctuations drive access to binaural information in both periodic and aperiodic sounds.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800884 | PMC |
http://dx.doi.org/10.1121/1.5022785 | DOI Listing |
Eur J Med Res
January 2025
Clinical Research and Big Data Center, South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
Objectives: Poststroke dysphagia (PSD) is a common complication after stroke but there is limited information on its global prevalence and influencing factors, such as spatial, temporal, demographic characteristics, and stroke-related factors. Our study seeks to fill this knowledge gap by exploring the overall prevalence of PSD and its influencing factors.
Methods: A search of English-language literature from database inception from 2005 until May 2022 was performed using PubMed, Embase, Web of Science, Cochrane Library, and Scopus.
Sci Rep
January 2025
Department of Computer Science, Kebri Dehar University, 250, Kebri Dehar, Ethiopia.
The Internet of Things (IoT)-based smart solutions have been developed to predict water quality and they are becoming an increasingly important means of providing efficient solutions through communication technologies. IoT systems are used for enabling connection between various devices based on the ability to gather and collect information. Furthermore, IoT systems are designed to address the environment and the automation industry.
View Article and Find Full Text PDFComput Med Imaging Graph
December 2024
Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University of Tuebingen, Tuebingen, Germany.
Cardiac Cine Magnetic Resonance Imaging (MRI) provides an accurate assessment of heart morphology and function in clinical practice. However, MRI requires long acquisition times, with recent deep learning-based methods showing great promise to accelerate imaging and enhance reconstruction quality. Existing networks exhibit some common limitations that constrain further acceleration possibilities, including single-domain learning, reliance on a single regularization term, and equal feature contribution.
View Article and Find Full Text PDFPhysiol Plant
January 2025
School of Agriculture, Food and Wine, The University of Adelaide, Urrbrae, SA, Australia.
The relative performance of rhizobial strains could depend on their resource allocation, environmental conditions, and host genotype. Here, we used a high-throughput shoot phenotyping to investigate the effects of Mesorhizobium strain on the growth dynamics, nodulation and bacteroid traits with four chickpea (Cicer arietinum) varieties grown under different water regimes in an experiment including four nitrogen sources (two Mesorhizobium strains, and two uninoculated controls: nitrogen fertilised and unfertilised) under well-watered and drought conditions. We asked three questions.
View Article and Find Full Text PDFNeuroimage
January 2025
Department of Neuroscience, The Jikei University School of Medicine, Tokyo, Japan; Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan; Faculty of Engineering, University of Tsukuba, Tsukuba, Japan. Electronic address:
Functional MRI (fMRI) is an important tool for investigating functional networks. However, the widely used fMRI with T2*-weighted imaging in rodents has the problem of signal lack in the lateral ventral area of forebrain including the amygdala, which is essential for not only emotion but also noxious pain. Here, we scouted the zero-echo time (ZTE) sequence, which is robust to magnetic susceptibility and motion-derived artifacts, to image activation in the whole brain including the amygdala following the noxious stimulation to the hind paw.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!