Use of perceptual weights to test a model of loudness summation

Lori J. Leibold; Walt Jesteadt

doi:10.1121/1.4788283

Use of perceptual weights to test a model of loudness summation

The Journal of the Acoustical Society of America ◽

10.1121/1.4788283 ◽

2006 ◽

Vol 120 (5) ◽

pp. 3246-3246

Author(s):

Lori J. Leibold ◽

Walt Jesteadt

Keyword(s):

Perceptual Weights ◽

Loudness Summation

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Use of perceptual weights to test a model of loudness summation

The Journal of the Acoustical Society of America ◽

10.1121/1.2761918 ◽

2007 ◽

Vol 122 (3) ◽

pp. EL69-EL73 ◽

Cited By ~ 7

Author(s):

Lori J. Leibold ◽

Walt Jesteadt

Keyword(s):

Perceptual Weights ◽

Loudness Summation

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Loudness Summation between Tones from Two Loudspeakers

The Journal of the Acoustical Society of America ◽

10.1121/1.1982379 ◽

1973 ◽

Vol 53 (1) ◽

pp. 334-334

Author(s):

B. Scharf

Keyword(s):

Loudness Summation

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Dynamic modulation of visual and electrosensory gains for locomotor control

Journal of The Royal Society Interface ◽

10.1098/rsif.2016.0057 ◽

2016 ◽

Vol 13 (118) ◽

pp. 20160057 ◽

Cited By ~ 13

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.

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