How GC encodes taste qualities and representations has been a source of major debate. Cortical representation theories have been greatly influenced by peripheral taste coding models. In particular, there are two main model of peripheral taste coding: a
labelled-line model, which posits that each taste receptor codes for a specific taste quality (sweet, sour, salty, bitter, umami); and an
across-fiber model, which proposes that taste perception arises from the combined activity of multiple unspecific taste receptors. Accordingly, the labelled-line model suggests the existence of a
topographical map, in which distinct tastes activate distinct neurons, specifically tuned to a particular taste and spatially distributed in a clustered manner (a gustotopic map). In contrast, the across-fiber model implies that taste is encoded in the ensemble firing patterns of mixed populations of broadly tuned cortical neurons, a process named
population coding. however, recent studies in both mice, through
two-photon calcium imaging, and humans, through
fMRI, indicated distributed population coding in GC. These models have focused on the spatial organization of GC, while another proposed coding mechanism is
temporal coding, which posits that information about taste quality is conveyed through a precise spiking pattern of GC neurons. Some researchers have noted that the AI/FO neurons are intrinsically multimodal, that is, they respond to other modalities in addition to taste (often to olfaction and/or somatosensation). These findings could imply that GC is not strictly involved in taste perception but also in more domain general functions, such as decision making regarding consummatory behaviors and valence processing. == Tastant concentration-dependent neuronal activity ==