Objective: To examine the hypothesis that auditory evoked potentials (AEPs) to pitch and timbre change of complex harmonic tones reflect a process of spectral envelope analysis.
Methods: AEPs were recorded to: (1) continuous tones of 'clarinet' timbre whose pitch abruptly rose or fell by 1 or 7 semitones every 0.5 or 1.5 s; (2) a cycle of 6 pitches changing every 0.5 s; (3) tones of constant pitch whose timbre (spectral envelope shape) changed periodically; (4) pitch change of high- and low-pass filtered 'clarinet' tones.
Results: The amplitudes of the 'change-N1' (CN1) potential peaking at ca. 90 ms and the following CP2 were influenced to a far greater degree by the time interval between changes, than by the magnitude of the change or by the time interval between occurrences of the same pitch. Amplitudes were also strongly dependent on the number of partials present, irrespective of whether they were increasing or decreasing in energy. The algebraic sum of the responses to pitch change of high- and low-pass filtered tones closely approximated the response to the unfiltered tone.
Conclusion: The rate-sensitivity of the responses cannot be explained by the refractoriness of frequency-specific 'feature detector' neurones, but rather of a process (termed 'C-process') which analyzes amplitude modulations across the spectral envelope, the contribution of different frequency bands combining linearly in the scalp-recorded activity. On-going computation of the spectral envelope shape may be an important factor in maintaining the perceptual constancy of timbre.
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http://dx.doi.org/10.1016/s1388-2457(01)00515-6 | DOI Listing |
Entropy (Basel)
November 2024
Faculty of Information Engineering, Quzhou College of Technology, Quzhou 324000, China.
Rolling bearings, as critical components of rotating machinery, significantly influence equipment reliability and operational efficiency. Accurate fault diagnosis is therefore crucial for maintaining industrial production safety and continuity. This paper presents a new fault diagnosis method based on FCEEMD multi-complexity low-dimensional features and directed acyclic graph LSTSVM.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Interdisciplinary Courses in Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
Two two-element slotted patch multiple-input multiple-output (MIMO) antenna with coplanar waveguide (CPW) feed is proposed for deployment in implantable medical devices. Implantable devices are compact and demand high-gain antennae with unidirectional radiation patterns. Regarding compactness, the antenna has a size of 16 × 6×0.
View Article and Find Full Text PDFSci Rep
November 2024
School of Electrical and Electronic Information, Xihua University, Chengdu, 610039, Sichuan, China.
Analysis of heart sound signals plays an essential role in preventing and diagnosing cardiac diseases. This study proposes a multi-level feature encoding algorithm based on frequency-balanced power spectral intensity for heart sound signal classification. Firstly, a wavelet threshold function is employed to denoise the heart sound signals.
View Article and Find Full Text PDFSci Rep
November 2024
Instituto de Neurociencias de Castilla y León, Universidad de Salamanca, Calle Pintor Fernando Gallego 1, 37007, Salamanca, Spain.
Understanding speech in noisy settings is harder for hearing-impaired (HI) people than for normal-hearing (NH) people, even when speech is audible. This is often attributed to hearing loss altering the neural encoding of temporal and/or spectral speech cues. Here, we investigated whether this difference may also be due to an impaired ability to adapt to background noise.
View Article and Find Full Text PDFJ Prev Alzheimers Dis
November 2024
Anthony O. Caggiano, MD, PhD, Cognition Therapeutics, Inc., 2500 Westchester Avenue, Purchase, NY 10577,
Background: CT1812 is a first-in-class, sigma-2 receptor ligand, that prevents and displaces binding of amyloid beta (Aβ) oligomers. Normalization of quantitative electroencephalography (qEEG) markers suggests that CT1812 protects synapses from Aβ oligomer toxicity.
Objectives: Evaluate CT1812 impact on synaptic function using qEEG measurements.
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