Psychometric amplitude-modulation detection thresholds in chinchillas before and after moderate noise exposure

2017 ◽  
Vol 141 (5) ◽  
pp. 3894-3894 ◽  
Author(s):  
Amanda C. Maulden ◽  
Michael K. Walls ◽  
Michael G. Heinz
Keyword(s):  
Amplitude Modulation ◽  
Noise Exposure ◽  
Detection Thresholds ◽  
Before And After ◽  
Modulation Detection

Amplitude modulation detection thresholds and associated psychometric functions.

1997 ◽  
Vol 101 (5) ◽  
pp. 3083-3083 ◽  
Author(s):  
René H. Gifford ◽  
Timothy D. Trine ◽  
D. Wesley Grantham
Keyword(s):  
Amplitude Modulation ◽  
Detection Thresholds ◽  
Modulation Detection

Effect of age and physical exercise on amplitude modulation detection thresholds

2016 ◽  
Vol 7 (4) ◽  
Author(s):  
DASHIKA G.M ◽  
NIKHITHA THERUVAN B ◽  
, JAYASHREE BHAT S ◽  
PITCHAI MUTHU ARIVUDAI NAMBI
Keyword(s):  
Physical Exercise ◽  
Amplitude Modulation ◽  
Detection Thresholds ◽  
Modulation Detection ◽  
Effect Of Age

scholarly journals Ability of primary auditory cortical neurons to detect amplitude modulation with rate and temporal codes: neurometric analysis

2012 ◽  
Vol 107 (12) ◽  
pp. 3325-3341 ◽  
Author(s):  
Jeffrey S. Johnson ◽  
Pingbo Yin ◽  
Kevin N. O'Connor ◽  
Mitchell L. Sutter
Keyword(s):  
Amplitude Modulation ◽  
Cortical Neurons ◽  
Modulation Depth ◽  
Modulation Frequency ◽  
Primary Auditory Cortex ◽  
Detection Methods ◽  
Lower Envelope ◽  
Detection Thresholds ◽  
Modulation Detection ◽  
Temporal Measures

Amplitude modulation (AM) is a common feature of natural sounds, and its detection is biologically important. Even though most sounds are not fully modulated, the majority of physiological studies have focused on fully modulated (100% modulation depth) sounds. We presented AM noise at a range of modulation depths to awake macaque monkeys while recording from neurons in primary auditory cortex (A1). The ability of neurons to detect partial AM with rate and temporal codes was assessed with signal detection methods. On average, single-cell synchrony was as or more sensitive than spike count in modulation detection. Cells are less sensitive to modulation depth if tested away from their best modulation frequency, particularly for temporal measures. Mean neural modulation detection thresholds in A1 are not as sensitive as behavioral thresholds, but with phase locking the most sensitive neurons are more sensitive, suggesting that for temporal measures the lower-envelope principle cannot account for thresholds. Three methods of preanalysis pooling of spike trains (multiunit, similar to convergence from a cortical column; within cell, similar to convergence of cells with matched response properties; across cell, similar to indiscriminate convergence of cells) all result in an increase in neural sensitivity to modulation depth for both temporal and rate codes. For the across-cell method, pooling of a few dozen cells can result in detection thresholds that approximate those of the behaving animal. With synchrony measures, indiscriminate pooling results in sensitive detection of modulation frequencies between 20 and 60 Hz, suggesting that differences in AM response phase are minor in A1.

Sources of the Scalp-Recorded Amplitude-Modulation Following Response

2002 ◽  
Vol 13 (04) ◽  
pp. 188-204 ◽  
Author(s):  
Shigeyuki Kuwada ◽  
Julia S. Anderson ◽  
Ranjan Batra ◽  
Douglas C. Fitzpatrick ◽  
Natacha Teissier ◽  
...  
Keyword(s):  
Animal Model ◽  
Amplitude Modulation ◽  
Single Unit ◽  
Modulation Frequency ◽  
Multiple Sources ◽  
High Modulation ◽  
Before And After ◽  
Single Unit Recordings ◽  
Composite Response ◽  
The Brain

The scalp-recorded amplitude-modulation following response (AMFR)” is gaining recognition as an objective audiometric tool, but little is known about the neural sources that underlie this potential. We hypothesized, based on our human studies and single-unit recordings in animals, that the scalp-recorded AMFR reflects the interaction of multiple sources. We tested this hypothesis using an animal model, the unanesthetized rabbit. We compared AMFRs recorded from the surface of the brain at different locations and before and after the administration of agents likely to enhance or suppress neural generators. We also recorded AMFRs locally at several stations along the auditory neuraxis. We conclude that the surface-recorded AMFR is indeed a composite response from multiple brain generators. Although the response at any modulation frequency can reflect the activity of more than one generator, the AMFRs to low and high modulation frequencies appear to reflect a strong contribution from cortical and subcortical sources, respectively.

Amplitude-modulation detection by gerbils in reverberant sound fields

2013 ◽  
Vol 302 ◽  
pp. 107-112 ◽  
Author(s):  
Andrea Lingner ◽  
Kathrin Kugler ◽  
Benedikt Grothe ◽  
Lutz Wiegrebe
Keyword(s):  
Amplitude Modulation ◽  
Sound Fields ◽  
Modulation Detection

scholarly journals Amplitude modulation detection by human listeners in reverberant sound fields: carrier bandwidth effects and binaural versus monaural comparison

2012 ◽  
Vol 131 (4) ◽  
pp. 3517-3517
Author(s):  
Pavel Zahorik ◽  
Duck O. Kim ◽  
Shigeyuki Kuwada ◽  
Paul W. Anderson ◽  
Eugene Brandewie ◽  
...  
Keyword(s):  
Amplitude Modulation ◽  
Sound Fields ◽  
Modulation Detection

scholarly journals How Do Age and Hearing Loss Impact Spectral Envelope Perception?

2018 ◽  
Vol 61 (9) ◽  
pp. 2376-2385 ◽  
Author(s):  
Erol J. Ozmeral ◽  
Ann C. Eddins ◽  
David A. Eddins
Keyword(s):  
Hearing Loss ◽  
Spectral Resolution ◽  
Modulation Frequency ◽  
Normal Hearing ◽  
Frequency Resolution ◽  
Spectral Envelope ◽  
Detection Thresholds ◽  
Spectral Modulation ◽  
Modulation Detection ◽  
Moderate Hearing Loss

Purpose The goal was to evaluate the potential effects of increasing hearing loss and advancing age on spectral envelope perception. Method Spectral modulation detection was measured as a function of spectral modulation frequency from 0.5 to 8.0 cycles/octave. The spectral modulation task involved discrimination of a noise carrier (3 octaves wide from 400 to 3200 Hz) with a flat spectral envelope from a noise having a sinusoidal spectral envelope across a logarithmic audio frequency scale. Spectral modulation transfer functions (SMTFs; modulation threshold vs. modulation frequency) were computed and compared 4 listener groups: young normal hearing, older normal hearing, older with mild hearing loss, and older with moderate hearing loss. Estimates of the internal spectral contrast were obtained by computing excitation patterns. Results SMTFs for young listeners with normal hearing were bandpass with a minimum modulation detection threshold at 2 cycles/octave, and older listeners with normal hearing were remarkably similar to those of the young listeners. SMTFs for older listeners with mild and moderate hearing loss had a low-pass rather than a bandpass shape. Excitation patterns revealed that limited spectral resolution dictated modulation detection thresholds at high but not low spectral modulation frequencies. Even when factoring out (presumed) differences in frequency resolution among groups, the spectral envelope perception was worse for the group with moderate hearing loss than the other 3 groups. Conclusions The spectral envelope perception as measured by spectral modulation detection thresholds is compromised by hearing loss at higher spectral modulation frequencies, consistent with predictions of reduced spectral resolution known to accompany sensorineural hearing loss. Spectral envelope perception is not negatively impacted by advancing age at any spectral modulation frequency between 0.5 and 8.0 cycles/octave.

scholarly journals Coding-in-Noise Deficits are Not Seen in Responses to Amplitude Modulation in Subjects with cochlear Synaptopathy Induced by a Single Noise Exposure

Neuroscience ◽  
2019 ◽  
Vol 400 ◽  
pp. 62-71 ◽  
Author(s):  
Hengchao Chen ◽  
Yazhi Xing ◽  
Zhen Zhang ◽  
Shan Tao ◽  
Hui Wang ◽  
...  
Keyword(s):  
Amplitude Modulation ◽  
Noise Exposure
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