Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
nature neurOSCIenCe VOLUME 14 | NUMBER 6 | JUNE 2011 775 a r t I C l e S
 

Summary: nature neurOSCIenCe VOLUME 14 | NUMBER 6 | JUNE 2011 775
a r t I C l e S
In an uncertain environment, organisms often need to react quickly
to subtle changes in their surroundings. Integrating inputs from mul-
tiple sensory systems (for example, vision, audition and somatosensa-
tion) can increase perceptual sensitivity, enabling better detection or
discrimination of events in the environment13. A basic question in
multisensory integration is: how do single neurons combine their uni-
sensory inputs? Although neurophysiological studies have revealed
a set of empirical principles by which two sensory inputs interact
to modify neural responses4, the computations performed by neural
circuits that integrate multisensory inputs are not well understood.
A prominent feature of multisensory integration is the principle of
inverseeffectiveness,whichstatesthatmultisensoryenhancementislarge
for weak multimodal stimuli and decreases with stimulus intensity47.
Asecondprominentfeatureisthespatial/temporalprincipleofmultisen-
soryenhancement,whichstatesthatstimulishouldbespatiallycongruent
and temporally synchronous for robust multisensory enhancement to
occur, with large spatial or temporal offsets leading instead to response
suppression810. Although these empirical principles are well established,

  

Source: Angelaki, Dora - Department of Anatomy and Neurobiology, Washington University in St. Louis
DeAngelis, Gregory - Department of Brain and Cognitive Sciences, University of Rochester

 

Collections: Biology and Medicine