TY - JOUR
T1 - Using the race model inequality to quantify behavioral multisensory integration effects
AU - Mahoney, Jeannette R.
AU - Verghese, Joe
N1 - Funding Information:
The current body of work is supported by the National Institute on Aging at the National Institute of Health (K01AG049813 to JRM). Supplementary funding was provided by the Resnick Gerontology Center of the Albert Einstein College of Medicine. Special thanks to all the volunteers and research staff for exceptional support with this project.
Publisher Copyright:
© 2019 Journal of Visualized Experiments.
PY - 2019/5
Y1 - 2019/5
N2 - Multisensory integration research investigates how the brain processes simultaneous sensory information. Research on animals (mainly cats and primates) and humans reveal that intact multisensory integration is crucial for functioning in the real world, including both cognitive and physical activities. Much of the research conducted over the past several decades documents multisensory integration effects using diverse psychophysical, electrophysiological, and neuroimaging techniques. While its presence has been reported, the methods used to determine the magnitude of multisensory integration effects varies and typically faces much criticism. In what follows, limitations of previous behavioral studies are outlined and a step-by-step tutorial for calculating the magnitude of multisensory integration effects using robust probability models is provided.
AB - Multisensory integration research investigates how the brain processes simultaneous sensory information. Research on animals (mainly cats and primates) and humans reveal that intact multisensory integration is crucial for functioning in the real world, including both cognitive and physical activities. Much of the research conducted over the past several decades documents multisensory integration effects using diverse psychophysical, electrophysiological, and neuroimaging techniques. While its presence has been reported, the methods used to determine the magnitude of multisensory integration effects varies and typically faces much criticism. In what follows, limitations of previous behavioral studies are outlined and a step-by-step tutorial for calculating the magnitude of multisensory integration effects using robust probability models is provided.
KW - Aging
KW - Behavior
KW - Issue 147
KW - Multisensory integration
KW - Race model inequality
KW - Redundant signals effect
KW - Sensorimotor integration
UR - http://www.scopus.com/inward/record.url?scp=85066933676&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066933676&partnerID=8YFLogxK
U2 - 10.3791/59575
DO - 10.3791/59575
M3 - Article
C2 - 31132070
AN - SCOPUS:85066933676
SN - 1940-087X
VL - 2019
JO - Journal of Visualized Experiments
JF - Journal of Visualized Experiments
IS - 147
M1 - e59575
ER -