Multisensory Integration Reveals Temporal Coding across a Human Sensorimotor Network

Moore, Bartlett D.; Bartoli, Eleonora; Karunakaran, Suganya; Kim, Kamin

doi:10.1523/jneurosci.2922-15.2015

Cited by 4 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In rodents and monkeys, several studies have found primary sensory cortical involvement in multisensory integration of visual, auditory, gustatory, and somatosensory information 20 , 44 – 46 . Such prior results and those of the present study support the postulation that multisensory integration involves a distributed network with multiple redundant pathways 5 , 47 and that oscillatory phase synchrony may play a key role in these mechanisms 48 – 51 . Our finding that oscillations in primary olfactory cortex become synchronized with oscillations in auditory cortex is consistent with both of these postulations.…”

Section: Discussionsupporting

confidence: 89%

Human olfactory-auditory integration requires phase synchrony between sensory cortices

et al. 2019

View full text Add to dashboard Cite

Multisensory integration is particularly important in the human olfactory system, which is highly dependent on non-olfactory cues, yet its underlying neural mechanisms are not well understood. In this study, we use intracranial electroencephalography techniques to record neural activity in auditory and olfactory cortices during an auditory-olfactory matching task. Spoken cues evoke phase locking between low frequency oscillations in auditory and olfactory cortices prior to odor arrival. This phase synchrony occurs only when the participant’s later response is correct. Furthermore, the phase of low frequency oscillations in both auditory and olfactory cortical areas couples to the amplitude of high-frequency oscillations in olfactory cortex during correct trials. These findings suggest that phase synchrony is a fundamental mechanism for integrating cross-modal odor processing and highlight an important role for primary olfactory cortical areas in multisensory integration with the olfactory system.

show abstract

Section: Discussionsupporting

confidence: 89%

Human olfactory-auditory integration requires phase synchrony between sensory cortices

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Mercier et al showed that humans react slower towards an external stimulus acquired by one sense (audio or visual) than if these stimuli appear combined (audio-visual) [29]. They explain this effect with the redundant target effect (RTE) [29,30], which describes that neurons are activated to information acquired by multiple senses before every single information would have caused a separate activation ( coactivation ) [31]. Triggered by [30], Tozzi and Peters transferred these findings to the area of algebraic topology and relate the observed effect to the Borsuk-Ulam theorem (Satz II [32]) in [33].…”

Section: Related Workmentioning

confidence: 99%

“…They explain this effect with the redundant target effect (RTE) [29,30], which describes that neurons are activated to information acquired by multiple senses before every single information would have caused a separate activation ( coactivation ) [31]. Triggered by [30], Tozzi and Peters transferred these findings to the area of algebraic topology and relate the observed effect to the Borsuk-Ulam theorem (Satz II [32]) in [33]. The Borsuk-Ulam theorem expresses that any antipodal points on an n -dimensional sphere (examples of antipodal points are the poles of the Earth or exactly opposite points on a circle) are projected onto one point when the sphere is projected to an n -dimensional Euclidean space.…”

Section: Related Workmentioning

confidence: 99%

“…According to Tozzi and Peters, the audio and visual sense represent the antipodal points on the sphere, which are both stimulated by the same event (their Euclidean projection). Hence, both share information about the event in their respective stimuli [33,34,35]. The full information of a stimulus is thus only observable by the combination ( fusion ) of multiple senses, otherwise parts of the information remain hidden resulting in incomplete knowledge.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Information Fusion of Conflicting Input Data

Mönks

Dörksen

Lohweg

et al. 2016

Sensors

View full text Add to dashboard Cite

Sensors, and also actuators or external sources such as databases, serve as data sources in order to realise condition monitoring of industrial applications or the acquisition of characteristic parameters like production speed or reject rate. Modern facilities create such a large amount of complex data that a machine operator is unable to comprehend and process the information contained in the data. Thus, information fusion mechanisms gain increasing importance. Besides the management of large amounts of data, further challenges towards the fusion algorithms arise from epistemic uncertainties (incomplete knowledge) in the input signals as well as conflicts between them. These aspects must be considered during information processing to obtain reliable results, which are in accordance with the real world. The analysis of the scientific state of the art shows that current solutions fulfil said requirements at most only partly. This article proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) employing the μBalTLCS (fuzzified balanced two-layer conflict solving) fusion algorithm to reduce the impact of conflicts on the fusion result. The performance of the contribution is shown by its evaluation in the scope of a machine condition monitoring application under laboratory conditions. Here, the MACRO system yields the best results compared to state-of-the-art fusion mechanisms. The utilised data is published and freely accessible.

show abstract

The role of working memory and visual processing in prototype category learning

2021

Consciousness and Cognition

View full text Add to dashboard Cite

Multisensory Integration Reveals Temporal Coding across a Human Sensorimotor Network

Cited by 4 publications

References 17 publications

Human olfactory-auditory integration requires phase synchrony between sensory cortices

Human olfactory-auditory integration requires phase synchrony between sensory cortices

Information Fusion of Conflicting Input Data

The role of working memory and visual processing in prototype category learning

Contact Info

Product

Resources

About