Academic literature on the topic 'Olfactory perceptual learning'
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Journal articles on the topic "Olfactory perceptual learning"
Wilson, D. A. "Acetylcholine and Olfactory Perceptual Learning." Learning & Memory 11, no. 1 (January 1, 2004): 28–34. http://dx.doi.org/10.1101/lm.66404.
Full textMoreno, M. M., C. Linster, O. Escanilla, J. Sacquet, A. Didier, and N. Mandairon. "Olfactory perceptual learning requires adult neurogenesis." Proceedings of the National Academy of Sciences 106, no. 42 (October 7, 2009): 17980–85. http://dx.doi.org/10.1073/pnas.0907063106.
Full textStevenson, Richard J., Trevor I. Case, and Caroline Tomiczek. "Resistance to Interference of Olfactory Perceptual Learning." Psychological Record 57, no. 1 (January 2007): 103–16. http://dx.doi.org/10.1007/bf03395567.
Full textGranger, Richard, and Gary Lynch. "Higher olfactory processes: perceptual learning and memory." Current Opinion in Neurobiology 1, no. 2 (August 1991): 209–14. http://dx.doi.org/10.1016/0959-4388(91)90080-q.
Full textVinera, Jennifer, Florence Kermen, Joëlle Sacquet, Anne Didier, Nathalie Mandairon, and Marion Richard. "Olfactory perceptual learning requires action of noradrenaline in the olfactory bulb: comparison with olfactory associative learning." Learning & Memory 22, no. 3 (February 17, 2015): 192–96. http://dx.doi.org/10.1101/lm.036608.114.
Full textKumari, Priyadarshini, Tarek Besold, and Michael Spranger. "Perceptual metrics for odorants: Learning from non-expert similarity feedback using machine learning." PLOS ONE 18, no. 11 (November 8, 2023): e0291767. http://dx.doi.org/10.1371/journal.pone.0291767.
Full textSchilit Nitenson, Arielle, Gabriela Manzano Nieves, Devon Lynn Poeta, Ryan Bahar, Carolyn Rachofsky, Nathalie Mandairon, and Kevin G. Bath. "Acetylcholine Regulates Olfactory Perceptual Learning through Effects on Adult Neurogenesis." iScience 22 (December 2019): 544–56. http://dx.doi.org/10.1016/j.isci.2019.11.016.
Full textOlofsson, Jonas K., Simon Niedenthal, Marie Ehrndal, Marta Zakrzewska, Andreas Wartel, and Maria Larsson. "Beyond Smell-O-Vision: Possibilities for Smell-Based Digital Media." Simulation & Gaming 48, no. 4 (April 24, 2017): 455–79. http://dx.doi.org/10.1177/1046878117702184.
Full textSharma, Geeta. "The dominant functional nicotinic receptor in progenitor cells in the rostral migratory stream is the α3β4 subtype." Journal of Neurophysiology 109, no. 3 (February 1, 2013): 867–72. http://dx.doi.org/10.1152/jn.00886.2012.
Full textWilson, Donald A., and Richard J. Stevenson. "Olfactory perceptual learning: the critical role of memory in odor discrimination." Neuroscience & Biobehavioral Reviews 27, no. 4 (June 2003): 307–28. http://dx.doi.org/10.1016/s0149-7634(03)00050-2.
Full textDissertations / Theses on the topic "Olfactory perceptual learning"
Moreno, Mélissa. "Mécanismes neuronaux sous-tendant l'apprentissage perceptif olfactif chez la souris adulte." Thesis, Lyon 1, 2013. http://www.theses.fr/2013LYO10102/document.
Full textThe olfactory bulb is the target of a well described adult neurogenesis which has been involved in different kinds of learning. We focused on the role of adult neurogenesis on olfactory perceptual learning which consists on an improvement of olfactory discrimination after odor enrichment. We found that experience-driven improvement in olfactory discrimination (perceptual learning) requires the addition of newborn neurons in the olfactory bulb. More specifically, we showed that adult-born neurons are required for perceptual learning by modulating the inhibition of mitral cells by granule cells. Then, we studied the role of noradrenaline on perceptual learning. Direct manipulation of noradrenergic transmission significantly effect on adult-born neuron survival and perceptual learning. Finally, we investigated the effect of aging on perceptual learning. We found that perceptual learning was impaired by aging in line with an alteration of neurogenesis. However, noradrenergic stimulation restores perceptual learning without modulating neurogenesis suggesting compensatory mechanisms. Neural mechanisms underlying perceptual learning involve neurogenesis and noradrenergic system to allow an increase of mitral cell inhibition thanks to the granule cells leading to an improvement of odor discrimination. During aging, perceptual learning can be restored suggesting that the olfactory system is still plastic
Cabrera, Sébastien. "Implementation of a semi-automatic quantification approach for spatial and temporal study of brain activity. Application to study of neuronal networks involved in various cognitive functions (sleep, olfaction)." Electronic Thesis or Diss., Lyon 1, 2024. http://www.theses.fr/2024LYO10366.
Full textBehaviors are encoded by widespread neural circuits within the brain which change with age and experience. Immunodetection of the immediate early gene c-Fos has been used for decades to reveal neural circuits activated during specific tasks or conditions. While successful, c-Fos method presents two limitations: 1) c-Fos expression is restricted in time, and cannot be used to follow up the same neurons activation over time or in response to different stimuli. 2) Quantifications are time consuming and often performed for a single brain region which restricts spatial information. A first objective of my thesis consisted in addressing challenges associated with whole brain probing of neuronal activity involved in higher sensory information processing. To this end, I developed and benchmarked a workflow that circumvents temporal and spatial limitations associated with c-Fos quantification. I combined c-Fos with c-Fos driven Cre-dependent tdTomato expression (i.e. TRAP2 mice), to perform a direct comparison of neural circuits activated at different times or during different tasks. Using open-source softwares (i.e. QuPath and ABBA), I established a workflow that optimize and automate cell detection, cell classification (e.g. c-Fos vs. c-Fos/tdTomato) and whole brain registration. This automatic workflow, based on fully automatic scripts, allows accurate quantification with minimal interindividual variability. Further, interrogation of brain atlases at different scales (from simplified to detailed) was performed, allowing a gradual zoom on defined brain regions to explore the spatial distribution of activated cells. I finally illustrated the potential of this approach by comparing patterns of neuronal activation in various contexts, i.e. wakefulness, paradoxical sleep and social interaction tasks, in distinct animal groups as well as within the same animals. Finally, BrainRender was used for intuitive representation of obtained results. Altogether, this automated workflow accessible to all labs with some experience in histology, allows an unbiased, fast and accurate analysis of the whole brain activity pattern at the cellular level, in various contexts. As an extension of this work, the second objective of my PhD focused on investigating the interdependence of specific behaviours. To this end, I studied effects of paradoxical sleep deprivation on olfactory perceptual learning. This learning task is defined as an enhanced ability to discriminate between two perceptually similar odorants following passive exposure to these 2 odorants for 10 days, a process partially reliant on adult neurogenesis. I used c-Fos immunohistochemistry in combination with tdTomato expression (TRAP2 mice), to visualize neuronal activity before and after perceptual learning. I have implemented a chronic automated paradoxical sleep deprivation for 4 hours per days following the olfactory perceptual learning protocol. Our behavioural data revealed that paradoxical sleep deprivation altered the improvement of odour discrimination. This work lays a solid foundation for future studies, which will extend the automated workflow I developed to evaluate neuronal activity within the olfactory bulb, as well as in higher olfactory centres in the brain. Additionally, the role of adult-born neurons and the potential impact of paradoxical sleep deprivation on their activity patterns will be explored further. In conclusion, the work presented in my thesis provides significant advancements in addressing the limitations of traditional c-Fos quantification methods by developing an automated, whole-brain workflow to visualize and compare neural circuits activated under different conditions. Furthermore, the exploration of the impact of paradoxical sleep deprivation on perceptual learning highlights the intricate relationship between sleep and sensory processing, laying the groundwork for future investigations into the neural mechanisms underlying these processes
Vojtušová, Mrzílková Radka. "Souvislost čichových aktivit a čichových schopností a všímavosti vůči pachům u šestiletých dětí." Master's thesis, 2018. http://www.nusl.cz/ntk/nusl-373155.
Full textBook chapters on the topic "Olfactory perceptual learning"
"Olfactory Perceptual Learning." In Encyclopedia of Evolutionary Psychological Science, 5570. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-19650-3_303508.
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