Relevant bibliographies by topics / Olfactory circuit

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Olfactory circuit'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Olfactory circuit"

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Shao, Z., A. C. Puche, E. Kiyokage, G. Szabo, and M. T. Shipley. "Two GABAergic Intraglomerular Circuits Differentially Regulate Tonic and Phasic Presynaptic Inhibition of Olfactory Nerve Terminals." Journal of Neurophysiology 101, no. 4 (April 2009): 1988–2001. http://dx.doi.org/10.1152/jn.91116.2008.

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Olfactory nerve axons terminate in olfactory bulb glomeruli forming excitatory synapses onto the dendrites of mitral/tufted (M/T) and juxtaglomerular cells, including external tufted (ET) and periglomerular (PG) cells. PG cells are heterogeneous in neurochemical expression and synaptic organization. We used a line of mice expressing green fluorescent protein under the control of the glutamic acid decarboxylase 65-kDa gene (GAD65+) promoter to characterize a neurochemically identified subpopulation of PG cells by whole cell recording and subsequent morphological reconstruction. GAD65+ GABAergic PG cells form two functionally distinct populations: 33% are driven by monosynaptic olfactory nerve (ON) input (ON-driven PG cells), the remaining 67% receive their strongest drive from an ON→ET→PG circuit with no or weak monosynaptic ON input (ET-driven PG cells). In response to ON stimulation, ON-driven PG cells exhibit paired-pulse depression (PPD), which is partially reversed by GABAB receptor antagonists. The ON→ET→PG circuit exhibits phasic GABAB-R-independent PPD. ON input to both circuits is under tonic GABAB-R-dependent inhibition. We hypothesize that this tonic GABABR-dependent presynaptic inhibition of olfactory nerve terminals is due to autonomous bursting of ET cells in the ON→ET→PG circuit, which drives tonic spontaneous GABA release from ET-driven PG cells. Both circuits likely produce tonic and phasic postsynaptic inhibition of other intraglomerular targets. Thus olfactory bulb glomeruli contain at least two functionally distinct GABAergic circuits that may play different roles in olfactory coding.
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Yang, Chi-Jen, Kuo-Ting Tsai, Nan-Fu Liou, and Ya-Hui Chou. "Interneuron Diversity: Toward a Better Understanding of Interneuron Development In the Olfactory System." Journal of Experimental Neuroscience 13 (January 2019): 117906951982605. http://dx.doi.org/10.1177/1179069519826056.

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The Drosophila olfactory system is an attractive model for exploring the wiring logic of complex neural circuits. Remarkably, olfactory local interneurons exhibit high diversity and variability in their morphologies and intrinsic properties. Although olfactory sensory and projection neurons have been extensively studied of development and wiring; the development, mechanisms for establishing diversity, and integration of olfactory local interneurons into the developing circuit remain largely undescribed. In this review, we discuss some challenges and recent advances in the study of Drosophila olfactory interneurons.
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Chapman, Phillip D., Samual P. Bradley, Erica J. Haught, Kassandra E. Riggs, Mouaz M. Haffar, Kevin C. Daly, and Andrew M. Dacks. "Co-option of a motor-to-sensory histaminergic circuit correlates with insect flight biomechanics." Proceedings of the Royal Society B: Biological Sciences 284, no. 1859 (July 26, 2017): 20170339. http://dx.doi.org/10.1098/rspb.2017.0339.

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Nervous systems must adapt to shifts in behavioural ecology. One form of adaptation is neural exaptation, in which neural circuits are co-opted to perform additional novel functions. Here, we describe the co-option of a motor-to-somatosensory circuit into an olfactory network. Many moths beat their wings during odour-tracking, whether walking or flying, causing strong oscillations of airflow around the antennae, altering odour plume structure. This self-induced sensory stimulation could impose selective pressures that influence neural circuit evolution, specifically fostering the emergence of corollary discharge circuits. In Manduca sexta , a pair of mesothoracic to deutocerebral histaminergic neurons (MDHns), project from the mesothoracic neuromere to both antennal lobes (ALs), the first olfactory neuropil. Consistent with a hypothetical role in providing the olfactory system with a corollary discharge, we demonstrate that the MDHns innervate the ALs of advanced and basal moths, but not butterflies, which differ in wing beat and flight pattern. The MDHns probably arose in crustaceans and in many arthropods innervate mechanosensory areas, but not the olfactory system. The MDHns, therefore, represent an example of architectural exaptation, in which neurons that provide motor output information to mechanosensory regions have been co-opted to provide information to the olfactory system in moths.
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Xie, Qijing, Bing Wu, Jiefu Li, Chuanyun Xu, Hongjie Li, David J. Luginbuhl, Xin Wang, Alex Ward, and Liqun Luo. "Transsynaptic Fish-lips signaling prevents misconnections between nonsynaptic partner olfactory neurons." Proceedings of the National Academy of Sciences 116, no. 32 (July 24, 2019): 16068–73. http://dx.doi.org/10.1073/pnas.1905832116.

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Our understanding of the mechanisms of neural circuit assembly is far from complete. Identification of wiring molecules with novel mechanisms of action will provide insights into how complex and heterogeneous neural circuits assemble during development. In the Drosophila olfactory system, 50 classes of olfactory receptor neurons (ORNs) make precise synaptic connections with 50 classes of partner projection neurons (PNs). Here, we performed an RNA interference screen for cell surface molecules and identified the leucine-rich repeat–containing transmembrane protein known as Fish-lips (Fili) as a novel wiring molecule in the assembly of the Drosophila olfactory circuit. Fili contributes to the precise axon and dendrite targeting of a small subset of ORN and PN classes, respectively. Cell-type–specific expression and genetic analyses suggest that Fili sends a transsynaptic repulsive signal to neurites of nonpartner classes that prevents their targeting to inappropriate glomeruli in the antennal lobe.
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Chen, Chen, Wei Kong, Jun Liang, Jiaming Lu, Dajie Chen, Yi Sun, Xin Zhang, et al. "Impaired olfactory neural circuit in patients with SLE at early stages." Lupus 30, no. 7 (April 15, 2021): 1078–85. http://dx.doi.org/10.1177/09612033211005556.

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Objective To investigate the changes of olfactory function and odor-induced brain activation in patients with systemic lupus erythematosus (SLE) at early stages compared with healthy controls. Materials and Methods Olfactory function and odor-induced brain activation in 12 SLE patients at early stages and 12 age, gender and education matched healthy controls were evaluated using olfactory behavior test and odor-induced task-functional magnetic resonance imaging (task-fMRI). Results No significant differences in olfactory behavior scores (including olfactory threshold, olfactory identification, and olfactory memory) were found in the patients with SLE at early stages compared with the healthy controls, while significantly decreased odor-induced activations in olfactory-related brain regions were observed in the patients. In the SLE group, the patients with better performance in the olfactory threshold test had significantly lower levels of anti-dsDNA antibody. Conclusion The current study demonstrated that significant alterations in odor-induced brain activations occurred prior to measurable olfactory decline in SLE at early stages, which provided a new method for early diagnosis of olfactory dysfunction in SLE.
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Paoli, Marco, and Giovanni C. Galizia. "Olfactory coding in honeybees." Cell and Tissue Research 383, no. 1 (January 2021): 35–58. http://dx.doi.org/10.1007/s00441-020-03385-5.

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Abstract With less than a million neurons, the western honeybee Apis mellifera is capable of complex olfactory behaviors and provides an ideal model for investigating the neurophysiology of the olfactory circuit and the basis of olfactory perception and learning. Here, we review the most fundamental aspects of honeybee’s olfaction: first, we discuss which odorants dominate its environment, and how bees use them to communicate and regulate colony homeostasis; then, we describe the neuroanatomy and the neurophysiology of the olfactory circuit; finally, we explore the cellular and molecular mechanisms leading to olfactory memory formation. The vastity of histological, neurophysiological, and behavioral data collected during the last century, together with new technological advancements, including genetic tools, confirm the honeybee as an attractive research model for understanding olfactory coding and learning.
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Ferrarelli, L. K. "Toll receptors wire the olfactory circuit." Science Signaling 8, no. 367 (March 10, 2015): ec53-ec53. http://dx.doi.org/10.1126/scisignal.aab0682.

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Coya, Ruth, Fernando Martin, Laura Calvin-Cejudo, Carolina Gomez-Diaz, and Esther Alcorta. "Validation of an Optogenetic Approach to the Study of Olfactory Behavior in the T-Maze of Drosophila melanogaster Adults." Insects 13, no. 8 (July 22, 2022): 662. http://dx.doi.org/10.3390/insects13080662.

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Optogenetics enables the alteration of neural activity using genetically targeted expression of light activated proteins for studying behavioral circuits in several species including Drosophila. The main idea behind this approach is to replace the native behavioral stimulus by the light-induced electrical activation of different points of the circuit. Therefore, its effects on subsequent steps of the circuit or on the final behavior can be analyzed. However, the use of optogenetics to dissect the receptor elements of the adult olfactory behavior presents a challenge due to one additional factor: Most odorants elicit attraction or avoidance depending on their concentration; this complicates the representative replacement of odor activation of olfactory sensory neurons (OSNs) by light. Here, we explore a dual excitation model where the subject is responding to odors while the OSNs are optogenetically activated. Thereby, we can assess if and how the olfactory behavior is modified. We measure the effects of light excitation on the response to several odorant concentrations. The dose-response curve of these flies still depends on odor concentration but with reduced sensitivity compared to olfactory stimulation alone. These results are consistent with behavioral tests performed with a background odor and suggest an additive effect of light and odor excitation on OSNs.
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Newquist, Gunnar, Alexandra Novenschi, Donovan Kohler, and Dennis Mathew. "Differential Contributions of Olfactory Receptor Neurons in a Drosophila Olfactory Circuit." eneuro 3, no. 4 (July 2016): ENEURO.0045–16.2016. http://dx.doi.org/10.1523/eneuro.0045-16.2016.

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Wu, Bing, Jiefu Li, Ya-Hui Chou, David Luginbuhl, and Liqun Luo. "Fibroblast growth factor signaling instructs ensheathing glia wrapping of Drosophila olfactory glomeruli." Proceedings of the National Academy of Sciences 114, no. 29 (July 3, 2017): 7505–12. http://dx.doi.org/10.1073/pnas.1706533114.

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The formation of complex but highly organized neural circuits requires interactions between neurons and glia. During the assembly of the Drosophila olfactory circuit, 50 olfactory receptor neuron (ORN) classes and 50 projection neuron (PN) classes form synaptic connections in 50 glomerular compartments in the antennal lobe, each of which represents a discrete olfactory information-processing channel. Each compartment is separated from the adjacent compartments by membranous processes from ensheathing glia. Here we show that Thisbe, an FGF released from olfactory neurons, particularly from local interneurons, instructs ensheathing glia to wrap each glomerulus. The Heartless FGF receptor acts cell-autonomously in ensheathing glia to regulate process extension so as to insulate each neuropil compartment. Overexpressing Thisbe in ORNs or PNs causes overwrapping of the glomeruli their axons or dendrites target. Failure to establish the FGF-dependent glia structure disrupts precise ORN axon targeting and discrete glomerular formation.
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Dissertations / Theses on the topic "Olfactory circuit"

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Kohl, Johannes. "A sexually dimorphic circuit switch in higher olfactory centres." Thesis, University of Cambridge, 2014. https://www.repository.cam.ac.uk/handle/1810/265572.

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In Drosophila the male sex pheromone cis-vaccenyl acetate (cVA) elicits different behaviours in males and females: while males are repelled by cVA, it stimulates female receptivity. However, olfactory receptor neurons and their second-order partners, the olfactory projection neurons, do not show significantly different physiological responses to cVA. Using in vivo whole-cell electrophysiology I have identified two distinct clusters of third-order olfactory neurons that are pheromone-responsive only in males or females, respectively. These clusters are present in both sexes and share a common input pathway, but sex-specific wiring reroutes pheromone information. To my knowledge this is the first functional characterisation of a bidirectional circuit switch in any organism, and provides a simple mechanism for sex-specific activation of conserved motor programmes. Investigating the genetic logic of this switch, I found that the action of the fruitless transcription factor is both necessary and sufficient for the sex-appropriate wiring of these third-order olfactory neurons. Critically, expression of the male form of fruitless in females is also sufficient to masculinise the pheromone responses of both classes of neurons. Somewhat surprisingly, even selective genetic masculinisation of third-order neurons is sufficient to masculinise their morphology and pheromone responses; thus a complex neural circuit can be functionally rewired by the cell-autonomous action of a switch gene.
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Ostrovsky, Aaron. "A sexually dimorphic olfactory circuit in the fruit fly, Drosophila melanogaster." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610165.

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Jayaraman, Vivek Winfree Erik Laurent Gilles. "Neural circuit dynamics and ensemble coding in the locust and fruit fly olfactory system /." Diss., Pasadena, Calif. : California Institute of Technology, 2007. http://resolver.caltech.edu/CaltechETD:etd-05192007-195030.

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DasGupta, Shamik. "Neural Circuit Analyses of the Olfactory System in Drosophila: Input to Output: A Dissertation." eScholarship@UMMS, 2009. https://escholarship.umassmed.edu/gsbs_diss/438.

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This thesis focuses on several aspects of olfactory processing in Drosophila. In chapter I and II, I will discuss how odorants are encoded in the brain. In both insects and mammals, olfactory receptor neurons (ORNs) expressing the same odorant receptor gene converge onto the same glomerulus. This topographical organization segregates incoming odor information into combinatorial maps. One prominent theory suggests that insects and mammals discriminate odors based on these distinct combinatorial spatial codes. I tested the combinatorial coding hypothesis by engineering flies that have only one class of functional ORNs and therefore cannot support combinatorial maps. These files can be taught to discriminate between two odorants that activate the single functional class of ORN and identify an odorant across a range of concentrations, demonstrating that a combinatorial code is not required to support learned odor discrimination. In addition, these data suggest that odorant identity can be encoded as temporal patterns of ORN activity. Behaviors are influenced by motivational states of the animal. Chapter III of this thesis focuses on understanding how motivational states control behavior. Appetitive memory in Drosophilaprovides an excellent system for such studies because the motivational state of hunger promotes reliance on learned appetitive cues whereas satiety suppresses it. We found that activation of neuropeptide F (dNPF) neurons in fed flies releases appetitive memory performance from satiety-mediated suppression. Through a GAL4 screen, we identified six dopaminergic neurons that are a substrate for dNPF regulation. In satiated flies, these neurons inhibit mushroom body output, thereby suppressing appetitive memory performance. Hunger promotes dNPF release, which blocks the inhibitory dopaminergic neurons. The motivational drive of hunger thus affects behavior through a hierarchical inhibitory control mechanism: satiety inhibits memory performance through a subset of dopaminergic neurons, and hunger promotes appetitive memory retrieval via dNPF-mediated disinhibition of these neurons. The aforementioned studies utilize sophisticated genetic tools for Drosophila. In chapter IV, I will talk about two new genetic tools. We developed a new technique to restrict gene expression to different subsets of mushroom body neurons with unprecedented precision. We also adapted the light-activated adenylyl cyclase (PAC) from Euglena gracilis as a light-inducable cAMP system for Drosophila. This system can be used to induce cAMP synthesis in targeted neurons in live, behaving preparations.
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Strutz, Antonia [Verfasser], Bill S. [Gutachter] Hansson, David G. [Gutachter] Heckel, and Martin Paul [Gutachter] Nawrot. "Odor Coding Strategies in the Drosophila Olfactory Circuit / Antonia Strutz ; Gutachter: Bill S. Hansson, David G. Heckel, Martin Paul Nawrot." Jena : Friedrich-Schiller-Universität Jena, 2013. http://d-nb.info/1177639386/34.

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Monnot, Pauline. "Rôle des interactions mécaniques entre tissus dans la mise en place du circuit olfactif du poisson-zèbre." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS113.

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Alors que les signaux biochimiques impliqués dans la croissance axonale et la migration neuronale sont largement étudiés, la contribution des signaux mécaniques dans la formation des circuits neuronaux reste peu explorée in vivo. Nous cherchons à étudier comment les forces mécaniques contribuent à la formation du circuit olfactif du poisson-zèbre. Ce circuit se développe durant la morphogénèse de la placode olfactive (PO), par le mouvement passif des corps cellulaires qui s’éloignent de l’extrémité de leurs axones. Mes travaux de thèse s’intéressent à la contribution mécanique de l’œil, qui se forme sous la PO par des mouvements d’évagination et d’invagination, à cette migration passive des neurones et à l’extension de leurs axones. L'analyse quantitative des mouvements cellulaires a tout d’abord révélé que les mouvements des cellules de la PO et de l’œil sont corrélés. Chez des embryons dans lesquels l’œil ne se développe pas, les mouvements des cellules de la PO sont affectés, ce qui produit des PO plus fines et des axones plus courts, et la tension mécanique dans la direction d’élongation des axones dans la PO est réduite. Enfin, la matrice extracellulaire s’accumule à l’interface oeil/PO et sa dégradation enzymatique réduit la corrélation entre les mouvements des cellules de la PO et de l’œil. Ces résultats suggèrent que l’œil en formation exerce des forces de traction sur la PO, transmises par la matrice, entrainant le mouvement des neurones et l’extension des axones. Ce travail apporte un éclairage nouveau sur le rôle des forces mécaniques échangées entre les neurones en développement et les tissus environnants dans la formation des circuits neuronaux in vivo
Whereas the biochemical signals guiding axon growth and neuronal migration are extensively studied, the contribution of mechanical cues in neuronal circuit formation is still poorly explored in vivo. We aim at investigating how mechanical forces influence the construction of the zebrafish olfactory circuit. This circuit forms during the morphogenesis of the olfactory placode (OP) by the passive displacement of neuronal cell bodies away from the tip of their axons. My PhD work focuses on the mechanical contribution of the adjacent eye tissue, which develops underneath the OP through extensive evagination and invagination movements, to this passive neuronal migration and to their associated axon elongation. Quantitative live cell imaging analysis during OP morphogenesis first revealed that OP and eye cells undergo correlated movements. In embryos lacking eyes, the movements of OP cell bodies are affected, resulting in thinner placodes and shorter axons, and the mechanical stress along the direction of axon elongation within the OP is reduced. Finally, extracellular matrix was observed to accumulate at the eye/OP interface, and its enzymatic degradation decreased the correlation between OP and eye cell movements. Altogether, these results suggest that the developing eye exerts traction forces on the OP through extracellular matrix, mediating proper neuronal movements and axon extension. This work sheds new light on the role of mechanical forces exchanged between developing neurons and surrounding tissues in the sculpting of neuronal circuits in vivo
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Liu, Wendy Wing-Heng. "Dissecting Olfactory Circuits in Drosophila." Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11453.

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Drosophila is a simple and genetically tractable model system for studying neural circuits. This dissertation consists of two studies, with the broad goal of understanding sensory processing in neural circuits using Drosophila as a model system.
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Sanz, Diez Alvaro. "Functional study of mouse olfactory bulb inhibitory circuits." Thesis, Strasbourg, 2017. http://www.theses.fr/2017STRAJ037/document.

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Les cellules periglomerulaires du bulbe olfactif conforment une population hétérogène avec des propriétés moléculaires, synaptiques, morphologiques et biophysiques diverses toujours étudiés de façon indépendante. Toutefois, cette diversité suggère que des groupes différents des cellules periglomerulaires pourraient avoir des rôles différents. Dans la première partie de ma thèse je cherche à associer, pour la première fois, différents marqueurs de la diversité des neurones periglomerulaires de façon à aider à comprendre les potentielles implications fonctionnelles que les cellules periglomerulaires pourraient avoir dans le traitement de l’information olfactive. Les cellules periglomerulaires reçoivent des courants inhibiteurs postsynaptiques mais les circuits responsables de cette inhibition restent méconnus. À l’aide des enregistrements électrophysiologiques dans des tranches aiguës horizontales de bulbe olfactif de souris et des techniques d’optogénétique je montre que des projections centrifuges GABAergiques en provenance du télencéphale basal modulent fortement l’inhibition des cellules periglomerulaires de type 2 ainsi que des cellules granulaires et des cellules à axone courtes
In the olfactory bulb periglomerular cells form a heterogeneous population with diverse molecular, synaptic, morphological and biophysical properties that have always been considered independently and never explored together. However, such diversity suggests different functional implications. On the first part of this thesis, I aim to associate, for the first time, different markers of periglomerular diversity together to put in perspective the functional implications that differebt subgroups of these cells could exert in odor processing. Periglomerular cells receive inhibitory postsynaptic currents but the circuits mediating this inhibition remain poorly understood. Using a combination of patch-clamp recordings in mouse horizontal olfactory bulb slices and optogenetics I demonstrate that centrifugal GABAergic projections from the basal forebrain strongly mediate inhibition of type 2 periglomerular cells but also granule cells and deep short axon cells
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Galili, Dana Shani. "Neural circuits mediating aversive olfactory conditioning in Drosophila." Diss., Ludwig-Maximilians-Universität München, 2014. http://nbn-resolving.de/urn:nbn:de:bvb:19-175429.

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For all animals it is highly advantageous to associate an environmental sensory stimulus with a reinforcing experience. During associative learning, the neural representation of the sensory stimulus (conditioned stimulus; CS) converges in time and location with that of the reinforcer (unconditioned stimulus; US). The CS is then affiliated with a predictive value, altering the animal’s response towards it in following exposures. In my PhD thesis I made use of olfactory aversive conditioning in Drosophila to ask where these two different stimuli are represented and how they are processed in the nervous system to allow association. In the first part of my thesis, I investigated the presentation of the odor stimulus (CS) and its underlying neuronal pathway. CS-US association is possible even when the US is presented after the physical sensory stimulus is gone ('trace conditioning'). I compared such association of temporally non-overlapping stimuli to learning of overlapping stimuli ('delay conditioning'). I found that flies associate an odor trace with electric shock reinforcement even when they were separated with a 15 s gap. Memories after trace and delay conditioning have striking similarities: both reached the same asymptotic learning level, although at different rates, and both memories have similar decay kinetics and highly correlated generalization profiles across odors. Altogether, these results point at a common odor percept which is probably kept in the nervous system throughout and following odor presentation. In search of the physiological correlate of the odor trace, we used in vivo calcium imaging to characterize the odor-evoked activity of the olfactory receptor neurons (ORNs) in the antennal lobe (in collaboration with Alja Luedke, Konstanz University). After the offset of odor presentation, ORNs showed odor-specific response patterns that lasted for a few seconds and were fundamentally different from the response patterns during odor stimulation. Weak correlation between the behavioral odor generalization profile in trace conditioning and the physiological odor similarity profiles in the antennal lobe suggest that the odor trace used for associative learning may be encoded downstream of the ORNs. In the second part of the thesis I investigated the presentation of different aversive stimuli (USs) and their underlying neuronal pathways. I established an odor-temperature conditioning assay, comparable to the commonly used odor-shock conditioning, and compared the neural pathways mediating both memory types. I described a specific sensory pathway for increased temperature as an aversive reinforcement: the thermal sensors AC neurons, expressing dTrpA1 receptors. Despite the separate sensory pathways for odor-temperature and odor-shock conditioning, both converge to one central pathway: the dopamine neurons, generally signaling reinforcement in the fly brain. Although a common population of dopamine neurons mediates both reinforcement types, the population mediating temperature reinforcement is smaller, and probably included within the population of dopamine neurons mediating shock reinforcement. I conclude that dopamine neurons integrate different noxious signals into a general aversive reinforcement pathway. Altogether, my results contribute to our understanding of aversive olfactory conditioning, demonstrating previously undescribed behavioral abilities of flies and their neuronal representations.
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Burton, Shawn D. "Novel Cell Types and Circuits in the Mouse Main Olfactory Bulb." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/686.

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The mammalian olfactory system is strikingly shallow. While peripheral input in other sensory systems is sequentially processed by brainstem, midbrain, and thalamic nuclei before reaching primary sensory and associational cortices, olfactory input is processed by only a single region of the brain – the main olfactory bulb – before reaching higher cortical areas. A tremendous amount of neural processing is thus compressed within the main olfactory bulb, making this region of the brain uniquely well suited for investigating fundamental principles of neural processing. Currently, the identity and functional roles of multiple cell types and circuits within the main olfactory bulb remain almost entirely unknown, significantly limiting our understanding of olfaction. Herein, I describe a set of studies addressing this broad gap in knowledge. In Chapter 1, I introduce the known cellular and circuit components of the main olfactory bulb. In Chapter 2, I examine the complexity in biophysical cell-to-cell differences among mitral cells, a class of principal neurons in the main olfactory bulb, and quantify how this within-class diversity regulates mitral cell synchrony. In Chapter 3, I systematically explore synaptic and intrinsic biophysical properties to functionally establish mitral cells and tufted cells as two distinct classes of principal neurons in the main olfactory bulb. In Chapter 4, I reveal that disinhibitory circuitry mediated by a largely uncharacterized class of interneurons is widespread throughout the main olfactory bulb and critically involved in regulating the sensory-evoked activity of inhibitory granule cells. In Chapter 4 Appendix, I provide the first quantitative evidence for the morphological and functional subdivision of granule cells into two distinct classes that separately interact with mitral cells and tufted cells. In Chapter 5 and Chapter 5 Appendix, I molecularly identify a novel class of deep short-axon cells and show that this class of interneurons integrates centrifugal cholinergic input with broadly tuned sensory input and provides highly divergent synaptic output to dynamically regulate the balance of activity between mitral cells and tufted cells. Finally, in Chapters 6 and 7, I present general conclusions from these studies and provide a reappraisal of inhibitory circuitry within the main olfactory bulb.
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Books on the topic "Olfactory circuit"

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Mountoufaris, George. The Role of the Clustered Protocadherins in the Assembly of Olfactory Neural Circuits. [New York, N.Y.?]: [publisher not identified], 2016.

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Liu, Wendy Wing-Heng. Dissecting Olfactory Circuits in Drosophila. 2014.

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Fisch, Adam. Limbic and Olfactory Systems. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199845712.003.0276.

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Chapter 21 discusses the limbic and olfactory systems, including parts 1 and 2 of the limbic system, the anatomy and circuitry of the hippocampus, parts 1 and 2 of the olfactory system, and parts 1 and 2 of the olfactory cortex and basal forebrain.
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Striedter, Georg F., and R. Glenn Northcutt. Brains Through Time. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780195125689.001.0001.

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Much is conserved in vertebrate evolution, but significant changes in the nervous system occurred at the origin of vertebrates and in most of the major vertebrate lineages. This book examines these innovations and relates them to evolutionary changes in other organ systems, animal behavior, and ecological conditions at the time. The resulting perspective clarifies what makes the major vertebrate lineages unique and helps explain their varying degrees of ecological success. One of the book’s major conclusions is that vertebrate nervous systems are more diverse than commonly assumed, at least among neurobiologists. Examples of important innovations include not only the emergence of novel brain regions, such as the cerebellum and neocortex, but also major changes in neuronal circuitry and functional organization. A second major conclusion is that many of the apparent similarities in vertebrate nervous systems resulted from convergent evolution, rather than inheritance from a common ancestor. For example, brain size and complexity increased numerous times, in many vertebrate lineages. In conjunction with these changes, olfactory inputs to the telencephalic pallium were reduced in several different lineages, and this reduction was associated with the emergence of pallial regions that process non-olfactory sensory inputs. These conclusions cast doubt on the widely held assumption that all vertebrate nervous systems are built according to a single, common plan. Instead, the book encourages readers to view both species similarities and differences as fundamental to a comprehensive understanding of nervous systems.
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Book chapters on the topic "Olfactory circuit"

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Hueston, Catherine, and Pelin C. Volkan. "Generation of Neuronal Diversity in the Peripheral Olfactory System in Drosophila." In Decoding Neural Circuit Structure and Function, 399–418. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57363-2_16.

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Meredith, Michael. "Suppressive Interactions During Olfactory Bulb Circuit Response to Odor: Computer Simulation." In Olfaction and Taste XI, 443–44. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68355-1_181.

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Liu, Gary, Jessica Swanson, Brandon Pekarek, Sugi Panneerselvam, Kevin Ung, Burak Tepe, Longwen Huang, and Benjamin R. Arenkiel. "A Combinatorial Approach to Circuit Mapping in the Mouse Olfactory Bulb." In Neuromethods, 129–42. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7549-5_7.

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Kauer, John S., Joel White, David P. Wellis, and Angel R. Cinelli. "Properties of Salamander Olfactory Bulb Circuits." In Olfaction and Taste XI, 433–39. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68355-1_177.

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Picco, Cristiana, Paola Gavazzo, Stuart Firestein, and Anna Menini. "Responses of Isolated Olfactory Sensory Neurons to Odorants." In Neural Circuits and Networks, 85–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58955-3_6.

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Migliore, Michele, and Tom McTavish. "Olfactory Computation in Mitral-Granule Cell Circuits." In Encyclopedia of Computational Neuroscience, 2139–42. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_615.

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Migliore, Michele, and Tom McTavish. "Olfactory Computation in Mitral-Granule Cell Circuits." In Encyclopedia of Computational Neuroscience, 1–4. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7320-6_615-4.

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Greer, Charles A., and Juan C. Bartolomei. "Synaptic Circuitry of Olfactory Bulb Glomeruli." In Olfaction and Taste XI, 425–28. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68355-1_175.

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Nunez-Parra, Alexia, Krista Krahe, Wilson Chan, and Ricardo C. Araneda. "Dissecting Neuronal Circuits Involved in Olfactory-Mediated Behaviors." In Neuromethods, 83–94. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2944-3_5.

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Fisch, Adam J. "The Diencephalon, Basal Ganglia, & Limbic System." In Neuroanatomy, 341–76. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190259587.003.0011.

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Abstract:
This chapter focuses on learning the anatomy of the diencephalon, basal ganglia, and limbic system. It provides instruction on how to draw the basal ganglia, the thalamus, the hypothalamus, diencephalon, limbic system, hippocampus, Papez circuit, parahippocampal gyrus, intrahippocampal circuitry, olfactory cortex, and basal forebrain. Also addressed is the neurocircuitry of sleep, including the anatomical location of the sleep center, the physiology of the thalamocortical circuits, the pathway for the generation of REM sleep, and the biology of sleep and wakefulness. The chapter concludes with key discoveries in the biology of sleep and wakefulness.
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Conference papers on the topic "Olfactory circuit"

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Huang, Ping-Chen, David Macii, and Jan M. Rabaey. "An information-theoretic framework for joint architectural and circuit level optimization for olfactory recognition processing." In 2011 IEEE Workshop on Signal Processing Systems (SiPS). IEEE, 2011. http://dx.doi.org/10.1109/sips.2011.6088943.

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Beyeler, Michael, Fabio Stefanini, Henning Proske, Giovanni Galizia, and Elisabetta Chicca. "Exploring olfactory sensory networks: Simulations and hardware emulation." In 2010 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2010. http://dx.doi.org/10.1109/biocas.2010.5709623.

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Allen, J. N., H. S. Abdel-Aty-Zohdy, and R. L. Ewing. "Plasticity recurrent spiking neural networks for olfactory pattern recognition." In 48th Midwest Symposium on Circuits and Systems, 2005. IEEE, 2005. http://dx.doi.org/10.1109/mwscas.2005.1594457.

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Kim, Dong Wook, Yeong Hee Cho, Kazushi Nishimoto, Yusuke Kawakami, Susumu Kunifuji, and Hiroshi Ando. "Development of aroma-Card based soundless Olfactory Display." In 2009 16th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2009). IEEE, 2009. http://dx.doi.org/10.1109/icecs.2009.5410784.

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Ge, Xinran, Huisheng Zhang, and Jia Yan. "Neuro-inspired olfactory system: modeling complex neural circuits for efficient odor classification." In Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), edited by Sandeep Saxena and Cairong Zhao. SPIE, 2023. http://dx.doi.org/10.1117/12.3011500.

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Guo, Bin, Amine Bermak, Maxime Ambard, and Dominique Martinez. "A 4 ? 4 Logarithmic Spike Timing Encoding Scheme for Olfactory Sensor Applications." In 2007 IEEE International Symposium on Circuits and Systems. IEEE, 2007. http://dx.doi.org/10.1109/iscas.2007.378450.

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Al Yamani, Jaber Hassan J., Farid Boussaid, Amine Bermak, and Dominique Martinez. "Bio-inspired gas recognition based on the organization of the olfactory pathway." In 2012 IEEE International Symposium on Circuits and Systems - ISCAS 2012. IEEE, 2012. http://dx.doi.org/10.1109/iscas.2012.6271503.

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Kotas, Rafal, and Zygmunt Ciota. "Olfactory event-related potentials recordings analysis based on modified EEG registration system." In 2014 21st International Conference "Mixed Design of Integrated Circuits & Systems" (MIXDES). IEEE, 2014. http://dx.doi.org/10.1109/mixdes.2014.6872253.

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Tian, Fengchun, Xiang Fu, Haibing Wang, Jingya Zhang, Haoran Gao, Shukai Duan, Lidan Wang, and Min Tian. "NORP: A Compact Neuromorphic Olfactory Recognition Processor With On-Chip Hybrid Learning." In 2023 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA). IEEE, 2023. http://dx.doi.org/10.1109/icta60488.2023.10364321.

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Huo, Dexuan, Jilin Zhang, Xinyu Dai, Jian Zhang, Chunqi Qian, Kea-Tiong Tang, and Hong Chen. "ANP-G: A 28nm 1.04pJ/SOP Sub-mm2 Spiking and Back-propagation Hybrid Neural Network Asynchronous Olfactory Processor Enabling Few-shot Class-incremental On-chip Learning." In 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). IEEE, 2023. http://dx.doi.org/10.23919/vlsitechnologyandcir57934.2023.10185410.

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