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It has been discovered before (arXiv:2306.07676) that for the selectivity gain due to fluctuations in the process of primary odor reception by olfactory receptor neuron (ORN) there exists an optimal concentration of odors at which increased…

Neurons and Cognition · Quantitative Biology 2025-04-15 A. K. Vidybida

It is known that if odors are presented to an olfactory receptor neuron (ORN) in a sub-threshold concentration -- i.e., when the average value of the number of the ORN bound receptor proteins (RPs) is insufficient for the generation of…

Biological Physics · Physics 2023-06-16 Alexander Vidybida

It was observed before that due to convergence in the olfactory system a possible amplification can be as large as the degree of convergence. This is in the case when a single impulse from the converging inputs is enough to trigger the…

Neurons and Cognition · Quantitative Biology 2019-01-28 Alexander Vidybida

Olfactory receptor usage is highly heterogeneous, with some receptor types being orders of magnitude more abundant than others. We propose an explanation for this striking fact: the receptor distribution is tuned to maximally represent…

Neurons and Cognition · Quantitative Biology 2019-01-23 Tiberiu Tesileanu , Simona Cocco , Remi Monasson , Vijay Balasubramanian

Living systems continually respond to signals from the surrounding environment. Survival requires that their responses adapt quickly and robustly to the changes in the environment. One particularly challenging example is olfactory…

Neurons and Cognition · Quantitative Biology 2024-10-08 Kiri Choi , Will Rosenbluth , Isabella R. Graf , Nirag Kadakia , Thierry Emonet

On the basis of the evident ability of neuronal olfactory systems to evaluate the intensity of an odorous stimulus and at the same time also recognise the identity of the odorant over a large range of concentrations, a few…

Neurons and Cognition · Quantitative Biology 2020-06-29 Carlo Fulvi Mari

A mechanism is proposed for increasing selectivity of olfactory bulb projection neurons as compared to the olfactory receptor neurons, which could operate under low odor concentration, when the lateral inhibition mechanism becomes…

Neurons and Cognition · Quantitative Biology 2021-11-09 Alexander Vidybida

In this paper we explore relevant electrical properties of two olfactory receptors (ORs), one from rat OR I7 and the other from human OR 17-40, which are of interest for the realization of smell nanobiosensors. The investigation compares…

Soft Condensed Matter · Physics 2015-05-27 E. Alfinito , J. -F. Millithaler , L. Reggiani

Our sense of smell relies on sensitive, selective atomic-scale processes that are initiated when a scent molecule meets specific receptors in the nose. However, the physical mechanisms of detection are not clear. While odorant shape and…

Biological Physics · Physics 2015-06-26 Jennifer C. Brookes , Filio Hartoutsiou , A. P. Horsfield , A. M. Stoneham

Inelastic electron transfer being regarded as one of the potential mechanisms to explain the odorant recognition in the atomic-scale processes is still a matter of intense debate. Here, we propose multiphonon processes of electrons transfer…

Biological Physics · Physics 2021-08-02 Shu-Quan Zhang , Yu Cui , Xue-Wei Li , Yong Sun , Zi-Wu Wang

Information theoretical tools are applied for the study of the sensitivity and selectivity enhancements of resistive fluctuation-enhanced sensors. General considerations are given for the upper limit of selectivity enhancement. The…

General Physics · Physics 2008-07-06 Laszlo B. Kish , Janusz Smulko , Peter Heszler , Claes-Goran Granqvist

Multiple-objective optimization is common in biological systems. In the mammalian olfactory system, each sensory neuron stochastically expresses only one out of up to thousands of olfactory receptor (OR) gene alleles; at organism level the…

Molecular Networks · Quantitative Biology 2016-05-11 Xiao-Jun Tian , Hang Zhang , Jens Sannerud , Jianhua Xing

Olfactory systems use a small number of broadly sensitive receptors to combinatorially encode a vast number of odors. We propose a method of decoding such distributed representations by exploiting a statistical fact: receptors that do not…

Neurons and Cognition · Quantitative Biology 2021-09-01 Vijay Singh , Martin Tchernookov , Vijay Balasubramanian

Increasing attention has been recently devoted to protein-based nanobiosensors. The main reason is the huge number of possible technological applications, going from drug detection to cancer early diagnosis. Their operating model is based…

Mesoscale and Nanoscale Physics · Physics 2011-07-15 Eleonora Alfinito , Jean-Francois Millithaler , Lino Reggiani , Nadia Zine , Nicole Jaffrezic-Renault

The olfactory sense measures the chemical composition of the environment using a diverse array of olfactory receptors. In vertebrates, the olfactory receptors reside in a mucus layer in the nasal cavity and can thus only detect odorants…

Biological Physics · Physics 2023-01-25 Swati Sen , David Zwicker

Animal behavior and neural recordings show that the brain is able to measure both the intensity of an odor and the timing of odor encounters. However, whether intensity or timing of odor detections is more informative for olfactory-driven…

Quantitative Methods · Quantitative Biology 2021-06-17 Nicola Rigolli , Nicodemo Magnoli , Lorenzo Rosasco , Agnese Seminara

Thermodynamic bulk measurements of binding reactions critically rely on the validity of the law of mass action and the assumption of a dilute solution. Yet important biological systems such as allosteric ligand-receptor binding,…

Biological Physics · Physics 2017-03-31 Joan Camunas-Soler , Anna Alemany , Felix Ritort

We developed a simple way to generate binary patterns based on spectral slopes in different frequency ranges at fluctuation-enhanced sensing. Such patterns can be considered as binary "fingerprints" of odors. The method has experimentally…

Biological Physics · Physics 2010-01-26 Hung-Chih Chang , Laszlo B. Kish , Maria D. King , Chiman Kwan

We present a model for olfactory coding based on spatial representation of glomerular responses. In this model distinct odorants activate specific subsets of glomeruli, dependent upon the odorant's chemical identity and concentration. The…

Neurons and Cognition · Quantitative Biology 2007-05-23 A. Koulakov , A. Gelperin , D. Rinberg

A lot of studies on the summary measures of predictive strength of categorical response models consider the likelihood ratio index (LRI), also known as the McFadden-$R^2$, a better option than many other measures. We propose a simple…

Methodology · Statistics 2023-02-03 Ejike R. Ugba , Jan Gertheiss
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