scholarly journals Perceptual weights for loudness reflect central spectral processing

2012 ◽  
Vol 132 (3) ◽  
pp. 1996-1996
Author(s):  
Suyash N. Joshi ◽  
Walt Jesteadt
Keyword(s):  
Spectral Processing ◽  
Perceptual Weights

Audio Spectral Processing

2010 ◽  
Author(s):  
John T. Sargent ◽  
Frederick K. Frantz
Keyword(s):  
Spectral Processing

scholarly journals Dynamic modulation of visual and electrosensory gains for locomotor control

2016 ◽  
Vol 13 (118) ◽  
pp. 20160057 ◽  
Author(s):  
Erin E. Sutton ◽  
Alican Demir ◽  
Sarah A. Stamper ◽  
Eric S. Fortune ◽  
Noah J. Cowan
Keyword(s):  
Augmented Reality ◽  
Multisensory Integration ◽  
Sensorimotor Integration ◽  
Sensory Conflict ◽  
Dynamic Modulation ◽  
Sensory Inputs ◽  
Locomotor Control ◽  
Eigenmannia Virescens ◽  
Future Work ◽  
Perceptual Weights

Animal nervous systems resolve sensory conflict for the control of movement. For example, the glass knifefish, Eigenmannia virescens , relies on visual and electrosensory feedback as it swims to maintain position within a moving refuge. To study how signals from these two parallel sensory streams are used in refuge tracking, we constructed a novel augmented reality apparatus that enables the independent manipulation of visual and electrosensory cues to freely swimming fish ( n = 5). We evaluated the linearity of multisensory integration, the change to the relative perceptual weights given to vision and electrosense in relation to sensory salience, and the effect of the magnitude of sensory conflict on sensorimotor gain. First, we found that tracking behaviour obeys superposition of the sensory inputs, suggesting linear sensorimotor integration. In addition, fish rely more on vision when electrosensory salience is reduced, suggesting that fish dynamically alter sensorimotor gains in a manner consistent with Bayesian integration. However, the magnitude of sensory conflict did not significantly affect sensorimotor gain. These studies lay the theoretical and experimental groundwork for future work investigating multisensory control of locomotion.

Effect of Increased Daily Cochlear Implant Use on Auditory Perception in Adults

2021 ◽  
pp. 1-12
Author(s):  
Jourdan T. Holder ◽  
René H. Gifford
Keyword(s):  
Speech Recognition ◽  
Cochlear Implant ◽  
Auditory Perception ◽  
Underlying Mechanism ◽  
Causal Link ◽  
Data Logging ◽  
Spectral Processing ◽  
Wear Time ◽  
Percentage Points ◽  
Questionnaire Administration

Purpose Despite the recommendation for cochlear implant (CI) processor use during all waking hours, variability in average daily wear time remains high. Previous work has shown that objective wear time is significantly correlated with speech recognition outcomes. We aimed to investigate the causal link between daily wear time and speech recognition outcomes and assess one potential underlying mechanism, spectral processing, driving the causal link. We hypothesized that increased CI use would result in improved speech recognition via improved spectral processing. Method Twenty adult CI recipients completed two study visits. The baseline visit included auditory perception testing (speech recognition and spectral processing measures), questionnaire administration, and documentation of data logging from the CI software. Participants watched an educational video, and they were informed of the compensation schedule. Participants were then asked to increase their daily CI use over a 4-week period during everyday life. Baseline measures were reassessed following the 4-week period. Results Seventeen out of 20 participants increased their daily CI use. On average, participants’ speech recognition improved by 3.0, 2.4, and 7.0 percentage points per hour of increased average daily CI use for consonant–nucleus–consonant words, AzBio sentences, and AzBio sentences in noise, respectively. Questionnaire scores were similar between visits. Spectral processing showed significant improvement and accounted for a small amount of variance in the change in speech recognition values. Conclusions Improved consistency of processor use over a 4-week period yielded significant improvements in speech recognition scores. Though a significant factor, spectral processing is likely not the only mechanism driving improvement in speech recognition; further research is warranted.

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