scholarly journals Dynamic Ensemble Odor Coding in the Mammalian Olfactory Bulb: Sensory Information at Different Timescales

Neuron ◽  
2008 ◽  
Vol 57 (4) ◽  
pp. 586-598 ◽  
Author(s):  
Brice Bathellier ◽  
Derek L. Buhl ◽  
Riccardo Accolla ◽  
Alan Carleton
Keyword(s):  
Olfactory Bulb ◽  
Sensory Information ◽  
Odor Coding

scholarly journals Recurrent cortical circuits implement concentration-invariant odor coding

Science ◽  
2018 ◽  
Vol 361 (6407) ◽  
pp. eaat6904 ◽  
Author(s):  
Kevin A. Bolding ◽  
Kevin M. Franks
Keyword(s):  
Olfactory Bulb ◽  
Concentration Dependence ◽  
Neural Circuit ◽  
Feedback Inhibition ◽  
Piriform Cortex ◽  
Cortical Activity ◽  
Cortical Circuits ◽  
Odor Coding ◽  
Recurrent Collateral ◽  
The Impact

Animals rely on olfaction to find food, attract mates, and avoid predators. To support these behaviors, they must be able to identify odors across different odorant concentrations. The neural circuit operations that implement this concentration invariance remain unclear. We found that despite concentration-dependence in the olfactory bulb (OB), representations of odor identity were preserved downstream, in the piriform cortex (PCx). The OB cells responding earliest after inhalation drove robust responses in sparse subsets of PCx neurons. Recurrent collateral connections broadcast their activation across the PCx, recruiting global feedback inhibition that rapidly truncated and suppressed cortical activity for the remainder of the sniff, discounting the impact of slower, concentration-dependent OB inputs. Eliminating recurrent collateral output amplified PCx odor responses rendered the cortex steeply concentration-dependent and abolished concentration-invariant identity decoding.

scholarly journals Cholinergic Inputs from Basal Forebrain Add an Excitatory Bias to Odor Coding in the Olfactory Bulb

2014 ◽  
Vol 34 (13) ◽  
pp. 4654-4664 ◽  
Author(s):  
M. Rothermel ◽  
R. M. Carey ◽  
A. Puche ◽  
M. T. Shipley ◽  
M. Wachowiak
Keyword(s):  
Olfactory Bulb ◽  
Basal Forebrain ◽  
Odor Coding

scholarly journals Cell and circuit origins of fast network oscillations in the mammalian main olfactory bulb

2021 ◽  
Author(s):  
Shawn D Burton ◽  
Nathan N Urban
Keyword(s):  
Olfactory Bulb ◽  
Sensory Information ◽  
Cell Types ◽  
Mitral Cell ◽  
Main Olfactory Bulb ◽  
Network Oscillations ◽  
Fast Network ◽  
Synchronous Network ◽  
Gamma Frequencies ◽  
Lateral Excitation

Neural synchrony generates fast network oscillations throughout the brain, including the main olfactory bulb (MOB), the first processing station of the olfactory system. Identifying the mechanisms synchronizing neurons in the MOB will be key to understanding how network oscillations support the coding of a high-dimensional sensory space. Here, using paired recordings and optogenetic activation of glomerular sensory inputs in MOB slices, we uncovered profound differences in principal mitral cell (MC) vs. tufted cell (TC) spike-time synchrony: TCs robustly synchronized across fast- and slow-gamma frequencies, while MC synchrony was weaker and concentrated in slow-gamma frequencies. Synchrony among both cell types was enhanced by shared glomerular input but was independent of intraglomerular lateral excitation. Cell-type differences in synchrony could also not be traced to any difference in the synchronization of synaptic inhibition. Instead, greater TC than MC synchrony paralleled the more periodic firing among resonant TCs than MCs and emerged in patterns consistent with densely synchronous network oscillations. Collectively, our results thus reveal a mechanism for parallel processing of sensory information in the MOB via differential TC vs. MC synchrony, and further contrast mechanisms driving fast network oscillations in the MOB from those driving the sparse synchronization of irregularly-firing principal cells throughout cortex.

scholarly journals Effect of interglomerular inhibitory networks on olfactory bulb odor representations

2020 ◽  
Author(s):  
Daniel Zavitz ◽  
Isaac A. Youngstrom ◽  
Alla Borisyuk ◽  
Matt Wachowiak
Keyword(s):  
Experimental Data ◽  
Olfactory Bulb ◽  
Computational Model ◽  
Lateral Inhibition ◽  
Sensory Input ◽  
Sensory Information ◽  
Gain Control ◽  
Innervation Patterns ◽  
Cell Networks ◽  
Inhibitory Networks

AbstractLateral inhibition is a fundamental feature of circuits that process sensory information. In the mammalian olfactory system, inhibitory interneurons called short axon cells comprise the first network mediating lateral inhibition between glomeruli, the functional units of early olfactory coding and processing. The connectivity of this network and its impact on odor representations is not well understood. To explore this question, we constructed a computational model of the interglomerular inhibitory network using detailed characterizations of short axon cell morphologies taken from mouse olfactory bulb. We then examined how this network transformed glomerular patterns of odorant-evoked sensory input (taken from previously-published datasets) as a function of the selectivity of interglomerular inhibition. We examined three connectivity schemes: selective (each glomerulus connects to few others with heterogeneous strength), nonselective (glomeruli connect to most others with heterogenous strength) or global (glomeruli connect to all others with equal strength). We found that both selective and nonselective interglomerular networks could mediate heterogeneous patterns of inhibition across glomeruli when driven by realistic sensory input patterns, but that global inhibitory networks were unable to produce input-output transformations that matched experimental data and were poor mediators of intensity-dependent gain control. We further found that networks whose interglomerular connectivity was tuned by sensory input profile decorrelated odor representations more effectively. These results suggest that, despite their multiglomerular innervation patterns, short axon cells are capable of mediating odorant-specific patterns of inhibition between glomeruli that could, theoretically, be tuned by experience or evolution to optimize discrimination of particular odorants.Significance StatementLateral inhibition is a key feature of circuitry in many sensory systems including vision, audition, and olfaction. We investigate how lateral inhibitory networks mediated by short axon cells in the mouse olfactory bulb might shape odor representations as a function of their interglomerular connectivity. Using a computational model of interglomerular connectivity derived from experimental data, we find that short axon cell networks, despite their broad innervation patterns, can mediate heterogeneous patterns of inhibition across glomeruli, and that the canonical model of global inhibition does not generate experimentally observed responses to stimuli. In addition, inhibitory connections tuned by input statistics yield enhanced decorrelation of similar input patterns. These results elucidate how the organization of inhibition between neural elements may affect computations.

Postnatal Neurogenesis in the Olfactory Bulb

2016 ◽  
Author(s):  
Aleksandra Polosukhina ◽  
Pierre-Marie Lledo
Keyword(s):  
Olfactory Bulb ◽  
Granule Cells ◽  
Sensory Information ◽  
Adult Brain ◽  
Sensory Function ◽  
The Other ◽  
Forthcoming Article ◽  
Adult Born Neurons ◽  
Newborn Neurons ◽  
The Brain

This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Neuroscience. Please check back later for the full article. In adult mammals, the olfactory bulb and the hippocampus are the regions in the brain that undergo continuous neurogenesis (production and recruitment of newborn neurons). While the other regions of the brain still retain a certain degree of plasticity after birth, they no longer can integrate new neurons. In rodents, thousands of adult-born neurons integrate into the bulb each day, and this process has been found to contribute not only to sensory function, but also to olfactory memory. This was a surprising finding, since historically the adult-brain has been viewed as a static organ. Understanding the process of regeneration of mature neurons in the brain has great potential for therapeutic applications. Consequently, this process of adult-neurogenesis has received widespread attention from clinicians and scientists. Neuroblasts bound for the olfactory bulb are produced in the subventricular zone of the lateral ventricle. Once they reach the olfactory bulb, they mostly develop into inhibitory interneurons called granule cells. Just after one month, about half of the adult-born neurons are eliminated, and the other half fully integrate and function in the olfactory bulb. These cells not only process information from the sensory neurons in the bulb, but also receive massive innervation from various regions of the brain, including the olfactory cortex, locus coeruleus, the horizontal limb of diagonal band of Broca, and the dorsal raphe nucleus. The sensory (bottom-up) and cortical (top-down) activity has been found to play a vital role in the adult-born granule cell survival. Though the exact purpose of these newborn neurons has not been identified, some emerging functions include maintenance of olfactory bulb circuitry, modulating sensory information, modulating olfactory learning, and memory.

Odor Code Sensor and Odor Reproduction

2012 ◽  
pp. 457-470
Author(s):  
Kenshi Hayashi
Keyword(s):  
Olfactory Bulb ◽  
Odor Coding ◽  
Essential Information ◽  
Qualitative And Quantitative ◽  
Olfactory Systems ◽  
Quantitative Analyses ◽  
Molecular Information ◽  
Odor Receptors

In biological olfactory systems, odor receptors receive odor molecules by recognizing the molecular information. Humans can sense the odor by the signal from these activated receptors. The combination of the activated receptors is called “odor code,” and the odor codes are expressed as an “odor cluster map” of glomeruli on the olfactory bulb surface. The odor code is essential information for qualitative and quantitative analyses of odor sensation. In this chapter, development of odor sensors based on the odor code concept and an attempt to extract the parameters for odor coding from molecular informatics are described. Application of the obtained odor code for odor reproduction is also presented.

scholarly journals Cell and circuit origins of fast network oscillations in the mammalian main olfactory bulb

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Shawn D Burton ◽  
Nathan N Urban
Keyword(s):  
Olfactory Bulb ◽  
Sensory Information ◽  
Cell Types ◽  
Mitral Cell ◽  
Main Olfactory Bulb ◽  
Network Oscillations ◽  
Fast Network ◽  
Synchronous Network ◽  
Gamma Frequencies ◽  
Lateral Excitation

Neural synchrony generates fast network oscillations throughout the brain, including the main olfactory bulb (MOB), the first processing station of the olfactory system. Identifying the mechanisms synchronizing neurons in the MOB will be key to understanding how network oscillations support the coding of a high-dimensional sensory space. Here, using paired recordings and optogenetic activation of glomerular sensory inputs in MOB slices, we uncovered profound differences in principal mitral cell (MC) vs. tufted cell (TC) spike-time synchrony: TCs robustly synchronized across fast- and slow-gamma frequencies, while MC synchrony was weaker and concentrated in slow-gamma frequencies. Synchrony among both cell types was enhanced by shared glomerular input but was independent of intraglomerular lateral excitation. Cell-type differences in synchrony could also not be traced to any difference in the synchronization of synaptic inhibition. Instead, greater TC than MC synchrony paralleled the more periodic firing among resonant TCs than MCs and emerged in patterns consistent with densely synchronous network oscillations. Collectively, our results thus reveal a mechanism for parallel processing of sensory information in the MOB via differential TC vs. MC synchrony, and further contrast mechanisms driving fast network oscillations in the MOB from those driving the sparse synchronization of irregularly-firing principal cells throughout cortex.

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