Multisensory integration and its plasticity – How do innate and postnatal factors contribute to forming individual differences?

Cortex ◽  
2021 ◽  
Vol 145 ◽  
pp. A1-A4
Author(s):  
Ryo Kitada ◽  
Norihiro Sadato
2018 ◽  
Vol 31 (3-4) ◽  
pp. 151-174 ◽  
Author(s):  
Samuel Couth ◽  
Emma Gowen ◽  
Ellen Poliakoff

Older adults exhibit greater multisensory reaction time (RT) facilitation than young adults. Since older adults exhibit greater violation of the race model (i.e., cumulative distribution functions for multisensory RTs are greater than that of the summed unisensory RTs), this has been attributed to enhanced multisensory integration. Here we explored whether (a) individual differences in RT distributions within each age group might drive this effect, and (b) the race model is more likely to be violated if unisensory RTs are slower. Young () and older adults () made speeded responses to visual, auditory or tactile stimuli, or any combination of these (bi-/tri-modal). The test of the race model suggested greater audiovisual integration for older adults, but only when accounting for individual differences in RT distributions. Moreover, correlations in both age groups showed that slower unisensory RTs were associated with a greater degree of race model violation. Therefore, greater race model violation may be due to greater ‘room for improvement’ from unisensory responses in older adults compared to young adults, and thus could falsely give the impression of enhanced multisensory integration.


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

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).


2018 ◽  
Vol 41 ◽  
Author(s):  
Benjamin C. Ruisch ◽  
Rajen A. Anderson ◽  
David A. Pizarro

AbstractWe argue that existing data on folk-economic beliefs (FEBs) present challenges to Boyer & Petersen's model. Specifically, the widespread individual variation in endorsement of FEBs casts doubt on the claim that humans are evolutionarily predisposed towards particular economic beliefs. Additionally, the authors' model cannot account for the systematic covariance between certain FEBs, such as those observed in distinct political ideologies.


2019 ◽  
Vol 42 ◽  
Author(s):  
Peter C. Mundy

Abstract The stereotype of people with autism as unresponsive or uninterested in other people was prominent in the 1980s. However, this view of autism has steadily given way to recognition of important individual differences in the social-emotional development of affected people and a more precise understanding of the possible role social motivation has in their early development.


2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.


2019 ◽  
Vol 42 ◽  
Author(s):  
Emily F. Wissel ◽  
Leigh K. Smith

Abstract The target article suggests inter-individual variability is a weakness of microbiota-gut-brain (MGB) research, but we discuss why it is actually a strength. We comment on how accounting for individual differences can help researchers systematically understand the observed variance in microbiota composition, interpret null findings, and potentially improve the efficacy of therapeutic treatments in future clinical microbiome research.


1991 ◽  
Vol 22 (4) ◽  
pp. 277-277 ◽  
Author(s):  
Sharon L. Wadle

Lack of training is only an excuse for not collaborating outside of the therapy room. With our present training, speech-language clinicians have many skills to share in the regular classroom setting. This training has provided skills in task analysis, a language focus, an appreciation and awareness of individual differences in learning, and motivational techniques.


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