odor representation
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2021 ◽  
Author(s):  
Chaviva Markind ◽  
Prosenjit Kundu ◽  
Mor Barak ◽  
Rafi Haddad

AbstractPattern separation is a fundamental process that enhances discrimination of similar stimuli and can be achieved by sparsening the neural activity and expanding the coding space. Odor stimuli evoke patterns of activity in the olfactory bulb (OB) and these activity patterns are projected to several cortical regions that contain larger numbers of neurons and show sparser activity levels. However, whether these projected patterns are better separated is still unclear. Here we compared odor responses in the OB, anterior piriform cortex (aPC) and anterior olfactory nucleus (AON) to the exact same odor stimuli. We found that odor representations are more similar, noisier and less distinctive in aPC and AON than in the OB. The increase in similarity was observed for both similar and dissimilar odors. Modeling odor transformation from the OB to the olfactory cortex using simulated as well as actual OB odor responses as inputs, demonstrates that the observed rise in odor representation similarity can be explained by assuming biologically plausible variation in the number of OB inputs each cortical neuron receives. We discuss the possible advantages of our findings to odor processing in the aPC and AON.HighlightsOdor representations in the aPC and AON are more correlated despite increase in sparseness levels.Odor identity is best represented in the OB.Variance in the number of inputs from OB can explain the reduction in odor separation.


eNeuro ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. ENEURO.0130-19.2020
Author(s):  
Adithya Rajagopalan ◽  
Collins Assisi

Neuron ◽  
2018 ◽  
Vol 98 (6) ◽  
pp. 1214-1228.e5 ◽  
Author(s):  
Rebecca Jordan ◽  
Izumi Fukunaga ◽  
Mihaly Kollo ◽  
Andreas T. Schaefer

Author(s):  
Rebecca Jordan ◽  
Izumi Fukunaga ◽  
Mihaly Kollo ◽  
Andreas T. Schaefer

2017 ◽  
Author(s):  
Rebecca Jordan ◽  
Izumi Fukunaga ◽  
Mihaly Kollo ◽  
Andreas T. Schaefer

SummaryThe olfactory bulb (OB) is the very first site of odor information processing, yet a wealth of contextual and learned information has been described in its activity. To investigate the mechanistic basis of contextual modulation, we use whole-cell recordings to measure odor responses across rapid (<30 min) learning episodes in identified mitral/tufted cells (MTCs). Across these learning episodes, we found that diverse response changes occur already during the first sniff cycle. Motivated mice develop active sniffing strategies across learning, and it is this change of active sampling state that dynamically modulates odor responses, resulting in enhanced discriminability and detectability of odor representation with learning. Evoking fast sniffing in different behavioral states demonstrates that response changes during active sampling exceed those predicted from purely feed-forward input. Finally, response changes are highly correlated in tufted cells, but not mitral cells, indicating cell-type specificity in the effect of active sampling, and resulting in increased odor detectability in the tufted and enhanced discriminability in the mitral cell population over the rapid learning episodes. Altogether, we show that active sampling state is a crucial component in modulating and enhancing olfactory bulb responsiveness on rapid timescales.


2017 ◽  
Vol 114 (9) ◽  
pp. 2407-2412 ◽  
Author(s):  
Malinda L. S. Tantirigama ◽  
Helena H.-Y. Huang ◽  
John M. Bekkers

Neurons in the neocortex exhibit spontaneous spiking activity in the absence of external stimuli, but the origin and functions of this activity remain uncertain. Here, we show that spontaneous spiking is also prominent in a sensory paleocortex, the primary olfactory (piriform) cortex of mice. In the absence of applied odors, piriform neurons exhibit spontaneous firing at mean rates that vary systematically among neuronal classes. This activity requires the participation of NMDA receptors and is entirely driven by bottom-up spontaneous input from the olfactory bulb. Odor stimulation produces two types of spatially dispersed, odor-distinctive patterns of responses in piriform cortex layer 2 principal cells: Approximately 15% of cells are excited by odor, and another approximately 15% have their spontaneous activity suppressed. Our results show that, by allowing odor-evoked suppression as well as excitation, the responsiveness of piriform neurons is at least twofold less sparse than currently believed. Hence, by enabling bidirectional changes in spiking around an elevated baseline, spontaneous activity in the piriform cortex extends the dynamic range of odor representation and enriches the coding space for the representation of complex olfactory stimuli.


2017 ◽  
Vol 20 (2) ◽  
pp. 128-129
Author(s):  
Tobias Ackels ◽  
Andreas T Schaefer
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