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Related papers: The structure of human olfactory space

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I briefly review the concept of d-density ordering, extend it to arbitrary dimensions, and speculate that it might describe Mott insulators. This ordering supports zero modes on domain walls, and quite plausibly dopants occupy such states.…

Condensed Matter · Physics 2008-02-03 Frank Wilczek

As mobile technologies become ever more sensor-rich, portable, and ubiquitous, data captured by smart devices are lending rich insights into users' daily lives with unprecedented comprehensiveness, unobtrusiveness, and ecological validity.…

Human listeners need to permanently interact with their three-dimensional (3-D) environment. To this end, they require efficient perceptual mechanisms to form a sufficiently accurate 3-D auditory space. In this chapter, we discuss the…

Neurons and Cognition · Quantitative Biology 2019-01-15 Piotr Majdak , Robert Baumgartner , Claudia Jenny

Human softness perception in haptics has mainly been studied using mechanically homogeneous objects, despite the fact that many real-world objects exhibit heterogeneous layered structures with nonuniform stiffness. This study examined how…

Human-Computer Interaction · Computer Science 2026-04-23 Yuno Higuchi , Yosuke Iwashita , Yuji Ohgi , Masashi Nakatani

Embedding spaces contain interpretable dimensions indicating gender, formality in style, or even object properties. This has been observed multiple times. Such interpretable dimensions are becoming valuable tools in different areas of…

Computation and Language · Computer Science 2024-04-04 Katrin Erk , Marianna Apidianaki

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

Humans can effortlessly describe what they see, yet establishing a shared representational format between vision and language remains a significant challenge. Emerging evidence suggests that human brain representations in both vision and…

Neurons and Cognition · Quantitative Biology 2025-07-30 Katerina Marie Simkova , Adrien Doerig , Clayton Hickey , Ian Charest

Personal space, also known as peripersonal space, is crucial in human social interaction, influencing comfort, communication, and social stress. Estimating and respecting personal space is essential for enhancing human-computer interaction…

Human-Computer Interaction · Computer Science 2025-06-10 Ko Watanabe , Nico Förster , Shoya Ishimaru

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

Subjective room acoustics impressions play an important role for the performance and reception of music in concert venues and auralizations. Therefore, room acoustics since the 20th century dealt with the relationship between objective,…

Sound · Computer Science 2025-11-13 Leonie Böhlke , Tim Ziemer , Rolf Bader

Statistical neurodynamics studies macroscopic behaviors of randomly connected neural networks. We consider a deep layered feedforward network where input signals are processed layer by layer. The manifold of input signals is embedded in a…

Disordered Systems and Neural Networks · Physics 2018-08-23 Shun-ichi Amari , Ryo Karakida , Masafumi Oizumi

Odor source localization is a fundamental challenge in molecular communication, environmental monitoring, disaster response, industrial safety, and robotics. In this study, we investigate three major approaches: Bayesian filtering, machine…

Signal Processing · Electrical Eng. & Systems 2025-02-12 Ayse Sila Okcu , Ozgur B. Akan

We seek to (i) characterize the learning architectures exploited in biological neural networks for training on very few samples, and (ii) port these algorithmic structures to a machine learning context. The Moth Olfactory Network is among…

Machine Learning · Computer Science 2019-01-29 Charles B. Delahunt , J. Nathan Kutz

Virtual Environments (VEs) provide the opportunity to simulate a wide range of applications, from training to entertainment, in a safe and controlled manner. For applications which require realistic representations of real world…

Olfaction, the sense of smell, has received scant attention from a signal processing perspective in comparison to audition and vision. In this paper, we develop a signal processing paradigm for olfactory signals based on new scientific…

Information Theory · Computer Science 2015-09-16 Kush R. Varshney , Lav R. Varshney

Embeddings from contemporary natural language processing (NLP) models are commonly used as numerical representations for words or sentences. However, odor descriptor words, like "leather" or "fruity", vary significantly between their…

Machine Learning · Computer Science 2022-05-10 Laura Sisson

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

Dennler et al. submit that they have discovered limitations affecting some of the conclusions drawn in our 2020 paper, Rapid online learning and robust recall in a neuromorphic olfactory circuit. Specifically, they assert (1) that the…

Neural and Evolutionary Computing · Computer Science 2024-11-19 Roy Moyal , Nabil Imam , Thomas A. Cleland

The insect olfactory system, which includes the antennal lobe (AL), mushroom body (MB), and ancillary structures, is a relatively simple neural system capable of learning. Its structural features, which are widespread in biological neural…

Neurons and Cognition · Quantitative Biology 2018-02-09 Charles B. Delahunt , Jeffrey A. Riffell , J. Nathan Kutz

Molecular odor prediction has great potential across diverse fields such as chemistry, pharmaceuticals, and environmental science, enabling the rapid design of new materials and enhancing environmental monitoring. However, current methods…

Machine Learning · Computer Science 2025-02-04 HongXin Xie , JianDe Sun , Yi Shao , Shuai Li , Sujuan Hou , YuLong Sun , Yuxiang Liu
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