Stimulus value gates multisensory integration

2021 ◽  
Author(s):  
Naomi L. Bean ◽  
Barry E. Stein ◽  
Benjamin A. Rowland
Keyword(s):  
Multisensory Integration ◽  
Stimulus Value

Supra-optimality may emanate from suboptimality, and hence optimality is no benchmark in multisensory integration

2018 ◽  
Vol 41 ◽  
Author(s):  
Jean-Paul Noel
Keyword(s):  
Multisensory Integration

AbstractWithin a multisensory context, “optimality” has been used as a benchmark evidencing interdependent sensory channels. However, “optimality” does not truly bifurcate a spectrum from suboptimal to supra-optimal – where optimal and supra-optimal, but not suboptimal, indicate integration – as supra-optimality may result from the suboptimal integration of a present unisensory stimuli and an absent one (audio = audio + absence of vision).

The Stimulus Value of the DSM–5The Stimulus Value of the DSM–5

PsycCRITIQUES ◽  
2014 ◽  
Vol 5959 (1414) ◽  
Author(s):  
Roger Blashfield
Keyword(s):  
Dsm 5 ◽  
Stimulus Value

scholarly journals Electrophysiological evidence of different neural processing between visual and audiovisual inhibition of return

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiaoyu Tang ◽  
Xueli Wang ◽  
Xing Peng ◽  
Qi Li ◽  
Chi Zhang ◽  
...  
Keyword(s):  
Multisensory Integration ◽  
Temporal Resolution ◽  
Inhibition Of Return ◽  
Neural Correlates ◽  
Event Related Potential ◽  
Perceptual Processing ◽  
High Temporal Resolution ◽  
Neural Processing ◽  
Electrophysiological Evidence ◽  
P3 Component

AbstractInhibition of return (IOR) refers to the slower response to targets appearing on the same side as the cue (valid locations) than to targets appearing on the opposite side as the cue (invalid locations). Previous behaviour studies have found that the visual IOR is larger than the audiovisual IOR when focusing on both visual and auditory modalities. Utilising the high temporal resolution of the event-related potential (ERP) technique we explored the possible neural correlates with the behaviour IOR difference between visual and audiovisual targets. The behavioural results revealed that the visual IOR was larger than the audiovisual IOR. The ERP results showed that the visual IOR effect was generated from the P1 and N2 components, while the audiovisual IOR effect was derived only from the P3 component. Multisensory integration (MSI) of audiovisual targets occurred on the P1, N1 and P3 components, which may offset the reduced perceptual processing due to audiovisual IOR. The results of early and late differences in the neural processing of the visual IOR and audiovisual IOR imply that the two target types may have different inhibitory orientation mechanisms.

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.

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