@article {Colonius1490_2015,
	year = {2015},
	author = {Colonius, Hans and Diederich, Adele},
	title = {A new measure of multisensory integration in a single neuron based on dependent probability summation},
	journal = {arXiv},
	volume = {arXiv:1507.08505 [q-bio.NC]},
	DOI = {10.13140/RG.2.1.4962.5443},
	URL = {http://arxiv.org/abs/1507.08505},
	abstract = {A neuron from the deep layers of the superior colliculus, is categorized as \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"multisensory\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\" if it responds to both unisensory and multisensory stimulation. However, being responsive to multiple sensory modalities does not guarantee that a neuron has actually engaged in integrating its multiple sensory inputs rather than simply responding to the most salient stimulus. A common response measure for both uni- and crossmodal stimulation is the mean, or the absolute number, of impulses (spikes) registered within a fixed time interval after stimulus presentation. The traditional criterion for identifying \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"multisensory enhancement\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\" is a statistically significant increase of the response measure elicited by a crossmodal stimulus compared to the value of the response measure to the most effective of the individual components. Here we propose a probabilistic foundation for a slightly modified criterion and argue that it is more powerful than the traditional criterion. },
	note = {http://www.researchgate.net/publication/280574541}
}