Dopaminergic modulation of odor responses by local interneurons in the olfactory bulb [PDF]
The olfactory bulb is one of the few regions in the brain where dopamine is provided locally by an intrinsic population of GABAergic interneurons but their role in processing of sensory information remains ambiguous.
Bundschuh, Sebastian Tylman
core +1 more source
Background Odors Modulate N170 ERP Component and Perception of Emotional Facial Stimuli
Successful social interaction relies on the accurate decoding of other peoples’ emotional signals, and their contextual integration. However, little is known about how contextual odors may lead to modulation of cortical processing in response to facial ...
Elmeri Syrjänen +6 more
doaj +1 more source
Odor enrichment attenuates the anesthesia/surgery-induced cognitive impairment
Objective: To determine the association between olfactory function and cognition in patients and rodents. Background: Perioperative neurocognitive disorders include delayed neurocognitive recovery (dNCR).
Ce Zhang +13 more
semanticscholar +1 more source
A Mathematical Model of the Olfactory Bulb for the Selective Adaptation Mechanism in the Rodent Olfactory System. [PDF]
To predict the odor quality of an odorant mixture, the interaction between odorants must be taken into account. Previously, an experiment in which mice discriminated between odorant mixtures identified a selective adaptation mechanism in the olfactory ...
Zu Soh +4 more
doaj +1 more source
Odor pollution from typical sources has drawn enormous attention because of its strong irritation potential and wideranging and harmful effects to nearby residents.
WU Chuan-dong +5 more
doaj +1 more source
Optimizing odor-baited trap methods for collecting mosquitoes during the malaria season in The Gambia. [PDF]
BACKGROUND: Baited traps are potential tools for removal or surveillance of disease vectors. To optimize the use of counter-flow traps baited with human odor (nylon socks that had been worn for a single day) to capture wild mosquitoes in the Gambia ...
Jeffries, David +31 more
core +1 more source
Advancing Odor Classification Models Enhanced by Scientific Machine Learning and Mechanistic Model: Probabilistic Weight Assignment for Odor Intensity Prediction and Uncertainty Analysis for Robust Fragrance Classification [PDF]
This study presents an innovative framework for classifying and predicting odor intensity in perfumery, combining scientific machine learning with mechanistic modeling to enhance fragrance design precision. A probabilistic weight assignment is introduced,
Ana Mafalda, Ribeiro +5 more
core +1 more source
Part 4: Mitigation options for manure-based odor control [PDF]
The previous three fact sheets of the series covered the basics of manure odor, human physiology of the sense of smell, and the options for quantifying manure-based odors.
Gooch, Curt, Pronto, Jennifer
core +5 more sources
Enhanced odor discrimination and impaired olfactory memory by spatially controlled switch of AMPA receptors [PDF]
Genetic perturbations of alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionate receptors (AMPARs) are widely used to dissect molecular mechanisms of sensory coding, learning, and memory.
Shimshek Derya R +47 more
core +1 more source
Familiar-odor-biased PNs and LNs are novelty and familiarity detectors.
PNs and LNs display initial response biases to the two test odors Hex and Oct prior to familiarization (A1, A2). Some neurons respond more strongly to Oct than to Hex, i.e., data points above the diagonal line; some neurons respond more strongly to Hex ...
Chelsea N. Cook (9080994) +6 more
core +1 more source

