Abstract:Components of odor mixtures often are not perceived individually, suggesting that neural representations of mixtures are not simple combinations of the representations of the components. We studied odor responses to binary mixtures of amino acids and food extracts at different processing stages in the olfactory bulb (OB) of zebrafish. Odor-evoked input to the OB was measured by imaging Ca 2ϩ signals in afferents to olfactory glomeruli. Activity patterns evoked by mixtures were predictable within narrow limits … Show more
“…We show that a rather fine rearrangement occurs from AL input to output and that such a rearrangement results in a higher separation power between complex odors. Several studies suggested that mixture representation is rather elemental at the input level (zebra fish: Tabor et al 2004;bees: Deisig et al 2006;moths: Carlsson et al 2007; fruit flies : Silbering et al 2007), even though within individual ORNs nonlinear responses to mixtures can be observed (Akers and Getz 1993;Cromarty and Derby 1998;Duchamp-Viret et al 2003). At the output level, studies in the zebrafish (Tabor et al 2004) and in Drosophila (Silbering et al 2007) showed an increased proportion of cases of nonlinear summation between component signals within individual neurons or glomeruli.…”
Section: Discussionmentioning
confidence: 99%
“…Because natural odors are complex blends including many different components, studying how the neural code for olfactory mixtures is reshaped by AL processing is imperative to understand odor processing in a natural framework. At the OB/AL input level, mixture representation follows essentially elemental rules because it can be predicted from the responses to the components (Carlsson et al 2007; Deisig et al 2006;Silbering and Galizia 2007;Tabor et al 2004). By contrast, at the AL output level, strong interactions between component signals within the AL networks were found in the zebrafish (Tabor et al 2004) and Drosophila (Silbering and Galizia 2007), assigning unique properties to each mixture's representation and making it different from the sum of its components.…”
Deisig N, Giurfa M, Sandoz JC. Antennal lobe processing increases separability of odor mixture representations in the honeybee. J Neurophysiol 103: 2185-2194, 2010. First published February 24, 2010 doi:10.1152/jn.00342.2009. Local networks within the primary olfactory centers reformat odor representations from olfactory receptor neurons to second-order neurons. By studying the rules underlying mixture representation at the input to the antennal lobe (AL), the primary olfactory center of the insect brain, we recently found that mixture representation follows a strict elemental rule in honeybees: the more a component activates the AL when presented alone, the more it is represented in a mixture. We now studied mixture representation at the output of the AL by imaging a population of second-order neurons, which convey AL processed odor information to higher brain centers. We systematically measured odor-evoked activity in 22 identified glomeruli in response to four single odorants and all their possible binary, ternary and quaternary mixtures. By comparing input and output responses, we determined how the AL network reformats mixture representation and what advantage this confers for odor discrimination. We show that increased inhibition within the AL leads to more synthetic, less elemental, mixture representation at the output level than that at the input level. As a result, mixture representations become more separable in the olfactory space, thus allowing better differentiation among floral blends in nature.
“…We show that a rather fine rearrangement occurs from AL input to output and that such a rearrangement results in a higher separation power between complex odors. Several studies suggested that mixture representation is rather elemental at the input level (zebra fish: Tabor et al 2004;bees: Deisig et al 2006;moths: Carlsson et al 2007; fruit flies : Silbering et al 2007), even though within individual ORNs nonlinear responses to mixtures can be observed (Akers and Getz 1993;Cromarty and Derby 1998;Duchamp-Viret et al 2003). At the output level, studies in the zebrafish (Tabor et al 2004) and in Drosophila (Silbering et al 2007) showed an increased proportion of cases of nonlinear summation between component signals within individual neurons or glomeruli.…”
Section: Discussionmentioning
confidence: 99%
“…Because natural odors are complex blends including many different components, studying how the neural code for olfactory mixtures is reshaped by AL processing is imperative to understand odor processing in a natural framework. At the OB/AL input level, mixture representation follows essentially elemental rules because it can be predicted from the responses to the components (Carlsson et al 2007; Deisig et al 2006;Silbering and Galizia 2007;Tabor et al 2004). By contrast, at the AL output level, strong interactions between component signals within the AL networks were found in the zebrafish (Tabor et al 2004) and Drosophila (Silbering and Galizia 2007), assigning unique properties to each mixture's representation and making it different from the sum of its components.…”
Deisig N, Giurfa M, Sandoz JC. Antennal lobe processing increases separability of odor mixture representations in the honeybee. J Neurophysiol 103: 2185-2194, 2010. First published February 24, 2010 doi:10.1152/jn.00342.2009. Local networks within the primary olfactory centers reformat odor representations from olfactory receptor neurons to second-order neurons. By studying the rules underlying mixture representation at the input to the antennal lobe (AL), the primary olfactory center of the insect brain, we recently found that mixture representation follows a strict elemental rule in honeybees: the more a component activates the AL when presented alone, the more it is represented in a mixture. We now studied mixture representation at the output of the AL by imaging a population of second-order neurons, which convey AL processed odor information to higher brain centers. We systematically measured odor-evoked activity in 22 identified glomeruli in response to four single odorants and all their possible binary, ternary and quaternary mixtures. By comparing input and output responses, we determined how the AL network reformats mixture representation and what advantage this confers for odor discrimination. We show that increased inhibition within the AL leads to more synthetic, less elemental, mixture representation at the output level than that at the input level. As a result, mixture representations become more separable in the olfactory space, thus allowing better differentiation among floral blends in nature.
“…1, available at www.jneurosci.org as supplemental material), three (30%) were to two components, and one (10%) was to three components. Finally, to exclude the possibility that the lack of responses to certain mixtures was attributable to cancellation of responses between mutually inhibitory components (Oka et al, 2004;Tabor et al, 2004), the responses of all (n ϭ 44) cells to individual components of a randomly chosen noneffective mixture were also examined. No responses to individual components in noneffective mixtures were found, reinforcing the idea that mitral cells only respond to a very small fraction of odorants in our panel.…”
Section: Mitral Cells In the Mob Exhibit Narrower Responsiveness Thanmentioning
“…Glomeruli serve as the site of synaptic contact between olfactory receptor neurons and second-order neurons, mitral/tufted cells. Most naturally occurring odors are complex mixtures, and the spatial pattern of glomerular activity reflects both individual components (Lin et al, 2006) and early intercomponent interactions (Joerges et al, 1997;Vickers et al, 1998;Tabor et al, 2004). In addition to spatial patterns, both glomerular (Spors et al, 2006) and mitral/ tufted cell activity (Meredith, 1986;Cang and Isaacson, 2003) demonstrate stimulus-specific temporal structure.…”
Despite a remarkably precise spatial representation of odorant stimuli in the early stages of olfactory processing, the projections to the olfactory (piriform) cortex are more diffuse and show characteristics of a combinatorial array, with extensive overlap of afferent inputs and widespread intracortical association connections. Furthermore, although there is increasing evidence for the importance of temporal structure in olfactory bulb odorant-evoked output, little is known about how this temporal patterning is translated within cortical neural ensembles. The present study used multichannel electrode arrays and paired single-unit recordings in rat anterior piriform cortex to test several predictions regarding ensemble coding in this system. The results indicate that odorants evoke activity in a spatially scattered ensemble of anterior piriform cortex neurons, and the ensemble activity includes a rich temporal structure. The most pronounced discrimination between different odorants by cortical ensembles occurs during the first inhalation of a 2 s stimulus. The distributed spatial and temporal structure of cortical activity is present at both global and local scales, with neighboring single units contributing to coding of different odorants and active at different phases of the respiratory cycle. Finally, cross-correlogram analyses suggest that cortical unit activity reflects not only afferent input from the olfactory bulb but also intrinsic activity within the intracortical association fiber system. These results provide direct evidence for predictions stemming from anatomical-and theoretical-based models of piriform cortex.
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