Elevating Virtual Reality Experiences with Olfactory Integration: A Preliminary Review DOI Creative Commons
Meryck Felipe Brito da Silva, Igor H. Sanches, Joyce V. V. B. Borba

и другие.

Journal of the Brazilian Computer Society, Год журнала: 2024, Номер 30(1), С. 639 - 652

Опубликована: Дек. 9, 2024

Virtual reality (VR) provides immersive audio-visual experiences but often overlook olfactory senses, which are crucial for human perception and cognition. Smell enhances object recognition, visual spatial attention, evaluation methods attention deficits. The sense of smell relies on the nerve to create a direct link between external stimuli limbic system, brain network involved in regulating emotions such as sadness, anger, joy, fear, well controlling physiological responses like startle reflex, vocal intonation, pain perception, memory processes. Artificial intelligence (AI) is essential integrating odors into VR, enhancing contextual understanding synchronizing smells with plot developments. Current multi-modal approaches highlight need integrated models combining images, texts, smells. Olfactory cues can enhance retention recall, benefiting educational training applications. Incorporating scents technologies creates more realistic engaging experiences, fields healthcare, military training, education. In this preliminary review, we will explore Reality (OVR) technologies, AI applications, available devices, future perspectives field. Additionally, discuss challenges facing technology, including issues delay, size, limited range odors. A new wearable interface featuring miniaturized odor generators (OGs) algorithms enables rapid low power consumption, achieving latency-free mixed reality. OVR research shows promising applications treating Post-Traumatic Stress Disorder (PTSD), alleviating anxiety, immersion. Recent advancements, compact OGs computer-controlled stimulation, represent significant progress multisensory communication technology.

Язык: Английский

The primacy model and the structure of olfactory space DOI Creative Commons

Hamza Giaffar,

Sergey A. Shuvaev, Dmitry Rinberg

и другие.

PLoS Computational Biology, Год журнала: 2024, Номер 20(9), С. e1012379 - e1012379

Опубликована: Сен. 10, 2024

Understanding sensory processing involves relating the stimulus space, its neural representation, and perceptual quality. In olfaction, difficulty in establishing these links lies partly complexity of underlying odor input space responses. Based on recently proposed primacy model for concentration invariant identity representation a few assumptions, we have developed theoretical framework mapping to response properties olfactory receptors. We analyze geometrical structure containing representations multidimensional receptor affinities describe low-dimensional implementation, hull. propose implications hull feedforward connectivity early networks. test predictions our theory by comparing existing receptor-ligand affinity data obtained fruit fly system. find that Kenyon cells insect mushroom body integrate inputs from high-affinity (primacy) sets receptors agreement with theory.

Язык: Английский

Процитировано

3
Predictive coding in the human olfactory system DOI

Sam Lyons,

Jay A. Gottfried

Trends in Cognitive Sciences, Год журнала: 2025, Номер unknown

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Interpretable deep learning for deconvolutional analysis of neural signals DOI Creative Commons
Bahareh Tolooshams, Sara Matias, Hao Wu

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Янв. 6, 2024

The widespread adoption of deep learning to build models that capture the dynamics neural populations is typically based on "black-box" approaches lack an interpretable link between activity and network parameters. Here, we propose apply algorithm unrolling, a method for learning, design architecture sparse deconvolutional networks obtain direct interpretation weights in relation stimulus-driven single-neuron through generative model. We characterize our method, referred as unrolled (DUNL), show its versatility by applying it deconvolve single-trial local signals across multiple brain areas recording modalities. To exemplify use cases decomposition uncover multiplexed salience reward prediction error from midbrain dopamine neurons unbiased manner, perform simultaneous event detection characterization somatosensory thalamus recordings, heterogeneity responses piriform cortex striatum during unstructured, naturalistic experiments. Our work leverages advances gain mechanistic understanding activity.

Язык: Английский

Процитировано

0
Amplification of olfactory transduction currents implements sparse stimulus encoding DOI Creative Commons

Kai Clane Belonio,

Eyerusalem S. Haile,

Zach Fyke

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Окт. 12, 2024

Abstract Sensory systems must perform the dual and opposing tasks of being sensitive to weak stimuli while also maintaining information content in dense variable sensory landscapes. This occurs olfactory system, where OSNs are highly low concentrations odors maintain discriminability complex odor environments. How neurons (OSNs) both sensitivity sparsity is not well understood. Here, we investigated whether calcium-activated chloride channel, TMEM16B, may support these roles OSNs. We used multiphoton microscopy image stimulus-response density epithelium. In TMEM16B knockout mice, found that representations were denser, magnitude OSN responses was increased. Behaviorally, changes associated with an increased aversion odorant trimethylamine, which switches perceptual valence as its concentration increases, a decreased efficiency olfactory-guided navigation. Together, our results indicate channel sparsens peripheral system contributes efficient integrative behaviors.

Язык: Английский

Процитировано

0
Elevating Virtual Reality Experiences with Olfactory Integration: A Preliminary Review DOI Creative Commons
Meryck Felipe Brito da Silva, Igor H. Sanches, Joyce V. V. B. Borba

и другие.

Journal of the Brazilian Computer Society, Год журнала: 2024, Номер 30(1), С. 639 - 652

Опубликована: Дек. 9, 2024

Virtual reality (VR) provides immersive audio-visual experiences but often overlook olfactory senses, which are crucial for human perception and cognition. Smell enhances object recognition, visual spatial attention, evaluation methods attention deficits. The sense of smell relies on the nerve to create a direct link between external stimuli limbic system, brain network involved in regulating emotions such as sadness, anger, joy, fear, well controlling physiological responses like startle reflex, vocal intonation, pain perception, memory processes. Artificial intelligence (AI) is essential integrating odors into VR, enhancing contextual understanding synchronizing smells with plot developments. Current multi-modal approaches highlight need integrated models combining images, texts, smells. Olfactory cues can enhance retention recall, benefiting educational training applications. Incorporating scents technologies creates more realistic engaging experiences, fields healthcare, military training, education. In this preliminary review, we will explore Reality (OVR) technologies, AI applications, available devices, future perspectives field. Additionally, discuss challenges facing technology, including issues delay, size, limited range odors. A new wearable interface featuring miniaturized odor generators (OGs) algorithms enables rapid low power consumption, achieving latency-free mixed reality. OVR research shows promising applications treating Post-Traumatic Stress Disorder (PTSD), alleviating anxiety, immersion. Recent advancements, compact OGs computer-controlled stimulation, represent significant progress multisensory communication technology.

Язык: Английский

Процитировано

0