The process of gustatory coding consists of neural responses that provide information about the quantity and quality of food, its generalized sensation, its hedonic value, and whether it should be swallowed. Many of the models presently used to analyze gustatory signals are static in that they use the average neural firing rate as a measure of activity and are unimodal in the sense they are thought to only involve chemosensory information. We have recently elaborated upon a dynamic model of gustatory coding that involves interactions between neurons in single as well as in spatially separate, gustatory and somatosensory regions. We propose that the specifics of gustatory responses grow not only out of information ascending from taste receptor cells, but also from the cycling of information around a massively interconnected system.
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 October 2023.
All research outputs
#9,515,654
of 27,784,943 outputs
Outputs from Current Opinion in Neurobiology
#1,247
of 2,336 outputs
Outputs of similar age
#19,881
of 54,224 outputs
Outputs of similar age from Current Opinion in Neurobiology
#3
of 6 outputs
Altmetric has tracked 27,784,943 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,336 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.
