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Journal articles on the topic 'Multisensory processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Keil, Julian, and Daniel Senkowski. "Neural Oscillations Orchestrate Multisensory Processing." Neuroscientist 24, no. 6 (2018): 609–26. http://dx.doi.org/10.1177/1073858418755352.

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At any given moment, we receive input through our different sensory systems, and this information needs to be processed and integrated. Multisensory processing requires the coordinated activity of distinct cortical areas. Key mechanisms implicated in these processes include local neural oscillations and functional connectivity between distant cortical areas. Evidence is now emerging that neural oscillations in distinct frequency bands reflect different mechanisms of multisensory processing. Moreover, studies suggest that aberrant neural oscillations contribute to multisensory processing defici

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Brang, David, Zack Taich, Steven A. Hillyard, and Vilayanur S. Ramachandran. "Task dependent anatomical connections underlie multisensory processing." Seeing and Perceiving 25 (2012): 8. http://dx.doi.org/10.1163/187847612x646316.

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Our senses interact in daily life through multisensory integration, facilitating perceptual processes and behavioral responses. Numerous multisensory regions have been identified in humans and animals, raising the question of whether a single mechanism can support the dynamic range of experiences and behaviors multisensory processing engenders. The most common neural mechanisms proposed to underlie multisensory processing include anatomical connections directly linking early sensory areas, indirect connections to higher-order multisensory regions, and functional connectivity between cortical a

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Schubert, Teresa. "Multisensory processing without vision." Nature Reviews Psychology 1, no. 2 (2022): 71. http://dx.doi.org/10.1038/s44159-022-00021-7.

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Yau, Jeffrey M., Gregory C. DeAngelis, and Dora E. Angelaki. "Dissecting neural circuits for multisensory integration and crossmodal processing." Philosophical Transactions of the Royal Society B: Biological Sciences 370, no. 1677 (2015): 20140203. http://dx.doi.org/10.1098/rstb.2014.0203.

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We rely on rich and complex sensory information to perceive and understand our environment. Our multisensory experience of the world depends on the brain's remarkable ability to combine signals across sensory systems. Behavioural, neurophysiological and neuroimaging experiments have established principles of multisensory integration and candidate neural mechanisms. Here we review how targeted manipulation of neural activity using invasive and non-invasive neuromodulation techniques have advanced our understanding of multisensory processing. Neuromodulation studies have provided detailed charac

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McCracken, Heather S., Bernadette A. Murphy, James J. Burkitt, Cheryl M. Glazebrook, and Paul C. Yielder. "Audiovisual Multisensory Processing in Young Adults With Attention-Deficit/Hyperactivity Disorder." Multisensory Research 33, no. 6 (2020): 599–623. http://dx.doi.org/10.1163/22134808-20191472.

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Abstract Multisensory integration is a fundamental form of sensory processing that is involved in many everyday tasks. Those with Attention-Deficit/Hyperactivity Disorder (ADHD) have characteristic alterations to various brain regions that may influence multisensory processing. The overall aim of this work was to assess how adults with ADHD process audiovisual multisensory stimuli during a complex response time task. The paradigm used was a two-alternative forced-choice discrimination task paired with continuous 64-electrode electroencephalography, allowing for the measurement of response time

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Berthiaume, Maxine, Giulia Corno, Kevin Nolet, and Stéphane Bouchard. "A Novel Integrated Information Processing Model of Presence." PRESENCE: Virtual and Augmented Reality 27, no. 4 (2018): 378–99. http://dx.doi.org/10.1162/pres_a_00336.

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Abstract The objective of this article is to conduct a narrative literature review on multisensory integration and propose a novel information processing model of presence in virtual reality (VR). The first half of the article introduces basic multisensory integration (implicit information processing) and the integration of coherent stimuli (explicit information processing) in the physical environment, offering an explanation for people's reactions during VR immersions and is an important component of our model. To help clarify these concepts, examples are provided. The second half of the arti

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Simon, S. A., I. E. de Araujo, J. R. Stapleton, and M. A. L. Nicolelis. "Multisensory Processing of Gustatory Stimuli." Chemosensory Perception 1, no. 2 (2008): 95–102. http://dx.doi.org/10.1007/s12078-008-9014-4.

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Dunham, Kacie, Alisa Zoltowski, Jacob I. Feldman, et al. "Neural Correlates of Audiovisual Speech Processing in Autistic and Non-Autistic Youth." Multisensory Research 36, no. 3 (2023): 263–88. http://dx.doi.org/10.1163/22134808-bja10093.

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Abstract Autistic youth demonstrate differences in processing multisensory information, particularly in temporal processing of multisensory speech. Extensive research has identified several key brain regions for multisensory speech processing in non-autistic adults, including the superior temporal sulcus (STS) and insula, but it is unclear to what extent these regions are involved in temporal processing of multisensory speech in autistic youth. As a first step in exploring the neural substrates of multisensory temporal processing in this clinical population, we employed functional magnetic res

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Johnston, Phillip R., Claude Alain, and Anthony R. McIntosh. "Individual Differences in Multisensory Processing Are Related to Broad Differences in the Balance of Local versus Distributed Information." Journal of Cognitive Neuroscience 34, no. 5 (2022): 846–63. http://dx.doi.org/10.1162/jocn_a_01835.

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Abstract The brain's ability to extract information from multiple sensory channels is crucial to perception and effective engagement with the environment, but the individual differences observed in multisensory processing lack mechanistic explanation. We hypothesized that, from the perspective of information theory, individuals with more effective multisensory processing will exhibit a higher degree of shared information among distributed neural populations while engaged in a multisensory task, representing more effective coordination of information among regions. To investigate this, healthy

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Allman, Brian L., and M. Alex Meredith. "Multisensory Processing in “Unimodal” Neurons: Cross-Modal Subthreshold Auditory Effects in Cat Extrastriate Visual Cortex." Journal of Neurophysiology 98, no. 1 (2007): 545–49. http://dx.doi.org/10.1152/jn.00173.2007.

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Historically, the study of multisensory processing has examined the function of the definitive neuron type, the bimodal neuron. These neurons are excited by inputs from more than one sensory modality, and when multisensory stimuli are present, they can integrate their responses in a predictable manner. However, recent studies have revealed that multisensory processing in the cortex is not restricted to bimodal neurons. The present investigation sought to examine the potential for multisensory processing in nonbimodal (unimodal) neurons in the retinotopically organized posterolateral lateral su

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Metaxakis, Athanasios, Dionysia Petratou, and Nektarios Tavernarakis. "Multimodal sensory processing in Caenorhabditis elegans." Open Biology 8, no. 6 (2018): 180049. http://dx.doi.org/10.1098/rsob.180049.

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Multisensory integration is a mechanism that allows organisms to simultaneously sense and understand external stimuli from different modalities. These distinct signals are transduced into neuronal signals that converge into decision-making neuronal entities. Such decision-making centres receive information through neuromodulators regarding the organism's physiological state and accordingly trigger behavioural responses. Despite the importance of multisensory integration for efficient functioning of the nervous system, and also the implication of dysfunctional multisensory integration in the ae

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Carriere, Brian N., David W. Royal, and Mark T. Wallace. "Spatial Heterogeneity of Cortical Receptive Fields and Its Impact on Multisensory Interactions." Journal of Neurophysiology 99, no. 5 (2008): 2357–68. http://dx.doi.org/10.1152/jn.01386.2007.

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Investigations of multisensory processing at the level of the single neuron have illustrated the importance of the spatial and temporal relationship of the paired stimuli and their relative effectiveness in determining the product of the resultant interaction. Although these principles provide a good first-order description of the interactive process, they were derived by treating space, time, and effectiveness as independent factors. In the anterior ectosylvian sulcus (AES) of the cat, previous work hinted that the spatial receptive field (SRF) architecture of multisensory neurons might play

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Wallace, Mark T., Tiffany G. Woynaroski, and Ryan A. Stevenson. "Multisensory Integration as a Window into Orderly and Disrupted Cognition and Communication." Annual Review of Psychology 71, no. 1 (2020): 193–219. http://dx.doi.org/10.1146/annurev-psych-010419-051112.

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During our everyday lives, we are confronted with a vast amount of information from several sensory modalities. This multisensory information needs to be appropriately integrated for us to effectively engage with and learn from our world. Research carried out over the last half century has provided new insights into the way such multisensory processing improves human performance and perception; the neurophysiological foundations of multisensory function; the time course for its development; how multisensory abilities differ in clinical populations; and, most recently, the links between multise

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Kawakami, Sayaka, Shota Uono, Sadao Otsuka, Sayaka Yoshimura, Shuo Zhao, and Motomi Toichi. "Atypical Multisensory Integration and the Temporal Binding Window in Autism Spectrum Disorder." Journal of Autism and Developmental Disorders 50, no. 11 (2020): 3944–56. http://dx.doi.org/10.1007/s10803-020-04452-0.

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Abstract The present study examined the relationship between multisensory integration and the temporal binding window (TBW) for multisensory processing in adults with Autism spectrum disorder (ASD). The ASD group was less likely than the typically developing group to perceive an illusory flash induced by multisensory integration during a sound-induced flash illusion (SIFI) task. Although both groups showed comparable TBWs during the multisensory temporal order judgment task, correlation analyses and Bayes factors provided moderate evidence that the reduced SIFI susceptibility was associated wi

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Alhamdan, Areej A., Melanie J. Murphy, Hayley E. Pickering, and Sheila G. Crewther. "The Contribution of Visual and Auditory Working Memory and Non-Verbal IQ to Motor Multisensory Processing in Elementary School Children." Brain Sciences 13, no. 2 (2023): 270. http://dx.doi.org/10.3390/brainsci13020270.

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Although cognitive abilities have been shown to facilitate multisensory processing in adults, the development of cognitive abilities such as working memory and intelligence, and their relationship to multisensory motor reaction times (MRTs), has not been well investigated in children. Thus, the aim of the current study was to explore the contribution of age-related cognitive abilities in elementary school-age children (n = 75) aged 5–10 years, to multisensory MRTs in response to auditory, visual, and audiovisual stimuli, and a visuomotor eye–hand co-ordination processing task. Cognitive perfor

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Alais, David, Fiona Newell, and Pascal Mamassian. "Multisensory Processing in Review: from Physiology to Behaviour." Seeing and Perceiving 23, no. 1 (2010): 3–38. http://dx.doi.org/10.1163/187847510x488603.

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AbstractResearch in multisensory processes has exploded over the last decade. Tremendous advances have been made in a variety of fields from single-unit neural recordings and functional brain imaging through to behaviour, perception and cognition. These diverse approaches have highlighted how the senses work together to produce a coherent multimodal representation of the external world that enables us to function better by exploiting the redundancies and complementarities provided by multiple sensory modalities. With large numbers of new students and researchers being attracted to multisensory

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Stevenson, Ryan A., Magali Segers, Busisiwe L. Ncube, et al. "The cascading influence of multisensory processing on speech perception in autism." Autism 22, no. 5 (2017): 609–24. http://dx.doi.org/10.1177/1362361317704413.

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It has been recently theorized that atypical sensory processing in autism relates to difficulties in social communication. Through a series of tasks concurrently assessing multisensory temporal processes, multisensory integration and speech perception in 76 children with and without autism, we provide the first behavioral evidence of such a link. Temporal processing abilities in children with autism contributed to impairments in speech perception. This relationship was significantly mediated by their abilities to integrate social information across auditory and visual modalities. These data de

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Whitton, Simon, Jung Min Kim, Alexandra N. Scurry, et al. "Multisensory temporal processing in early deaf." Neuropsychologia 163 (December 2021): 108069. http://dx.doi.org/10.1016/j.neuropsychologia.2021.108069.

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Krueger Fister, Juliane, Ryan A. Stevenson, Aaron R. Nidiffer, Zachary P. Barnett, and Mark T. Wallace. "Stimulus intensity modulates multisensory temporal processing." Neuropsychologia 88 (July 2016): 92–100. http://dx.doi.org/10.1016/j.neuropsychologia.2016.02.016.

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Maier, Joost X., Meredith L. Blankenship, Jennifer X. Li, and Donald B. Katz. "A Multisensory Network for Olfactory Processing." Current Biology 25, no. 20 (2015): 2642–50. http://dx.doi.org/10.1016/j.cub.2015.08.060.

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Donohue, Sarah E., Elise F. Darling, and Stephen R. Mitroff. "Links between multisensory processing and autism." Experimental Brain Research 222, no. 4 (2012): 377–87. http://dx.doi.org/10.1007/s00221-012-3223-4.

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22

Spence, Charles. "Multisensory attention and tactile information-processing." Behavioural Brain Research 135, no. 1-2 (2002): 57–64. http://dx.doi.org/10.1016/s0166-4328(02)00155-9.

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23

Sarko, Diana K., and Dipanwita Ghose. "Developmental plasticity of multisensory circuitry: how early experience dictates cross-modal interactions." Journal of Neurophysiology 108, no. 11 (2012): 2863–66. http://dx.doi.org/10.1152/jn.00383.2012.

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Normal sensory experience is necessary for the development of multisensory processing, such that disruption through environmental manipulations eliminates or alters multisensory integration. In this Neuro Forum, we examine the recent paper by Xu et al. ( J Neurosci 32: 2287–2298, 2012) which proposes that the statistics of cross-modal stimuli encountered early in life might be a driving factor for the development of normal multisensory integrative abilities in superior colliculus neurons. We present additional interpretations of their analyses as well as future directions and translational imp

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Fiorini, Linda, Marika Berchicci, Elena Mussini, Valentina Bianco, Stefania Lucia, and Francesco Di Russo. "Neural Basis of Anticipatory Multisensory Integration." Brain Sciences 11, no. 7 (2021): 843. http://dx.doi.org/10.3390/brainsci11070843.

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The brain is able to gather different sensory information to enhance salient event perception, thus yielding a unified perceptual experience of multisensory events. Multisensory integration has been widely studied, and the literature supports the hypothesis that it can occur across various stages of stimulus processing, including both bottom-up and top-down control. However, evidence on anticipatory multisensory integration occurring in the fore period preceding the presentation of the expected stimulus in passive tasks, is missing. By means of event-related potentials (ERPs), it has been rece

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Basharat, Aysha, and Michael Barnett-Cowan. "Assessing the Effects of Exercise, Cognitive Demand, and Rest on Audiovisual Multisensory Processing in Older Adults: A Pilot Study." Multisensory Research 36, no. 3 (2023): 213–62. http://dx.doi.org/10.1163/22134808-bja10085.

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Abstract A single bout of aerobic exercise is related to positive changes in higher-order cognitive function among older adults; however, the impact of aerobic exercise on multisensory processing remains unclear. Here we assessed the effects of a single bout of aerobic exercise on commonly utilized tasks that measure audiovisual multisensory processing: response time (RT), simultaneity judgements (SJ), and temporal-order judgements (TOJ), in a pilot study. To our knowledge this is the first effort to investigate the effects of three well-controlled intervention conditions on multisensory proce

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Kurela, LeAnne R., and Mark T. Wallace. "Serotonergic Modulation of Sensory and Multisensory Processing in Superior Colliculus." Multisensory Research 30, no. 2 (2017): 121–58. http://dx.doi.org/10.1163/22134808-00002552.

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The ability to integrate information across the senses is vital for coherent perception of and interaction with the world. While much is known regarding the organization and function of multisensory neurons within the mammalian superior colliculus (SC), very little is understood at a mechanistic level. One open question in this regard is the role of neuromodulatory networks in shaping multisensory responses. While the SC receives substantial serotonergic projections from the raphe nuclei, and serotonergic receptors are distributed throughout the SC, the potential role of serotonin (5-HT) signa

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Bruno, Nicola, and Stefano Uccelli. "Perception—Action dissociations depend on factors that affect multisensory processing." PLOS ONE 19, no. 11 (2024): e0301737. http://dx.doi.org/10.1371/journal.pone.0301737.

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Behavioral perception-action dissociations are widely used to test models of high-level vision, but debates concerning their interpretation have underestimated the role of multisensory mechanisms in such tests. Sensorimotor tasks engage multisensory processing in fundamentally different ways than perceptual tasks, and these differences can modulate dissociations in different ways based on task features. To test this idea, we compared perception and action using a well-understood size-contrast effect, the Uznadze illusion, and manipulated both unimodal and crossmodal stimulation as well as cond

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Rusciano, Dario. "Light, Sound, and Melatonin: Investigating Multisensory Pathways for Visual Restoration." Medicina 61, no. 6 (2025): 1009. https://doi.org/10.3390/medicina61061009.

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Multisensory integration is fundamental for coherent perception and interaction with the environment. While cortical mechanisms of multisensory convergence are well studied, emerging evidence implicates specialized retinal ganglion cells—particularly melanopsin-expressing intrinsically photosensitive retinal ganglion cells (ipRGCs)—in crossmodal processing. This review explores how hierarchical brain networks (e.g., superior colliculus, parietal cortex) and ipRGCs jointly shape perception and behavior, focusing on their convergence in multisensory plasticity. We highlight ipRGCs as gatekeepers

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Dunham, Kacie, Jacob I. Feldman, Yupeng Liu, et al. "Stability of Variables Derived From Measures of Multisensory Function in Children With Autism Spectrum Disorder." American Journal on Intellectual and Developmental Disabilities 125, no. 4 (2020): 287–303. http://dx.doi.org/10.1352/1944-7558-125.4.287.

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Abstract Children with autism spectrum disorder (ASD) display differences in multisensory function as quantified by several different measures. This study estimated the stability of variables derived from commonly used measures of multisensory function in school-aged children with ASD. Participants completed: a simultaneity judgment task for audiovisual speech, tasks designed to elicit the McGurk effect, listening-in-noise tasks, electroencephalographic recordings, and eye-tracking tasks. Results indicate the stability of indices derived from tasks tapping multisensory processing is variable.

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Sanders, Philip, Benjamin Thompson, Paul Corballis, and Grant Searchfield. "On the Timing of Signals in Multisensory Integration and Crossmodal Interactions: a Scoping Review." Multisensory Research 32, no. 6 (2019): 533–73. http://dx.doi.org/10.1163/22134808-20191331.

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Abstract A scoping review was undertaken to explore research investigating early interactions and integration of auditory and visual stimuli in the human brain. The focus was on methods used to study low-level multisensory temporal processing using simple stimuli in humans, and how this research has informed our understanding of multisensory perception. The study of multisensory temporal processing probes how the relative timing between signals affects perception. Several tasks, illusions, computational models, and neuroimaging techniques were identified in the literature search. Research into

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Sathian, K. "Modality, quo vadis?" Behavioral and Brain Sciences 27, no. 3 (2004): 413–14. http://dx.doi.org/10.1017/s0140525x04390096.

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Grush's emulation theory comprises both modality-specific and amodal emulators. I suggest that the amodal variety be replaced by multisensory emulators. The key distinction is that multisensory processing retains the characteristics of individual sensory modalities, in contrast to amodal processing. The latter term is better reserved for conceptual and linguistic systems, rather than perception or emulation.

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O'Brien, Jessica, Chan Jason, and Annalisa Setti. "143 Audio-Visual Training of Perception in Ageing." Age and Ageing 48, Supplement_3 (2019): iii17—iii65. http://dx.doi.org/10.1093/ageing/afz103.85.

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Abstract Background Multisensory perception is the ability to merge information from different sensory modalities. There is a growing interest in identifying ways to improve multisensory perception abilities in older adults, as inefficient multisensory processing has been linked to cognitive and functional impairments. Previous research has shown multisensory perception can be improved in young adults through training their simultaneity judgement. In the present study, we tested whether two different versions of this successful training protocol could train audio-visual abilities in older adul

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Lim, H. K., L. P. Keniston, J. H. Shin, B. L. Allman, M. A. Meredith, and K. J. Cios. "Connectional parameters determine multisensory processing in a spiking network model of multisensory convergence." Experimental Brain Research 213, no. 2-3 (2011): 329–39. http://dx.doi.org/10.1007/s00221-011-2671-6.

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Sakai, Nobuyuki. "Top-down processing in food perception: Beyond the multisensory processing." Acoustical Science and Technology 41, no. 1 (2020): 182–88. http://dx.doi.org/10.1250/ast.41.182.

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Ikonomopoulos, A., N. Ghani, G. Doemens, E. Kutzer, and N. Roth. "Image processing and analysis in multisensory systems." IEEE Transactions on Circuits and Systems 34, no. 11 (1987): 1417–31. http://dx.doi.org/10.1109/tcs.1987.1086061.

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Hammond-Kenny, Amy, Victoria M. Bajo, Andrew J. King, and Fernando R. Nodal. "Behavioural benefits of multisensory processing in ferrets." European Journal of Neuroscience 45, no. 2 (2016): 278–89. http://dx.doi.org/10.1111/ejn.13440.

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Briscoe, Robert Eamon. "Multisensory Processing and Perceptual Consciousness: Part I." Philosophy Compass 11, no. 2 (2016): 121–33. http://dx.doi.org/10.1111/phc3.12227.

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Meredith, M. Alex, and Brian L. Allman. "Subthreshold multisensory processing in cat auditory cortex." NeuroReport 20, no. 2 (2009): 126–31. http://dx.doi.org/10.1097/wnr.0b013e32831d7bb6.

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Macaluso, Emiliano. "Multisensory Processing in Sensory-Specific Cortical Areas." Neuroscientist 12, no. 4 (2006): 327–38. http://dx.doi.org/10.1177/1073858406287908.

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Briscoe, Robert Eamon. "Multisensory processing and perceptual consciousness: Part II." Philosophy Compass 12, no. 12 (2017): e12423. http://dx.doi.org/10.1111/phc3.12423.

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KITAGAWA, NORIMICHI, and CHARLES SPENCE. "Audiotactile multisensory interactions in human information processing." Japanese Psychological Research 48, no. 3 (2006): 158–73. http://dx.doi.org/10.1111/j.1468-5884.2006.00317.x.

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Bharadwaj, Sneha V., Patricia L. Matzke, and Linda L. Daniel. "Multisensory processing in children with cochlear implants." International Journal of Pediatric Otorhinolaryngology 76, no. 6 (2012): 890–95. http://dx.doi.org/10.1016/j.ijporl.2012.02.066.

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Schroeder, Charles E., and John Foxe. "Multisensory contributions to low-level, ‘unisensory’ processing." Current Opinion in Neurobiology 15, no. 4 (2005): 454–58. http://dx.doi.org/10.1016/j.conb.2005.06.008.

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Barutchu, Ayla, Aparna Sahu, Glyn W. Humphreys, and Charles Spence. "Multisensory processing in event-based prospective memory." Acta Psychologica 192 (January 2019): 23–30. http://dx.doi.org/10.1016/j.actpsy.2018.10.015.

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Foxe, John J., Glenn R. Wylie, Antigona Martinez, et al. "Auditory-Somatosensory Multisensory Processing in Auditory Association Cortex: An fMRI Study." Journal of Neurophysiology 88, no. 1 (2002): 540–43. http://dx.doi.org/10.1152/jn.2002.88.1.540.

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Using high-field (3 Tesla) functional magnetic resonance imaging (fMRI), we demonstrate that auditory and somatosensory inputs converge in a subregion of human auditory cortex along the superior temporal gyrus. Further, simultaneous stimulation in both sensory modalities resulted in activity exceeding that predicted by summing the responses to the unisensory inputs, thereby showing multisensory integration in this convergence region. Recently, intracranial recordings in macaque monkeys have shown similar auditory-somatosensory convergence in a subregion of auditory cortex directly caudomedial

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Zaree, Masoome. "Multisensory Stimulation in Dementia." Function and Disability Journal 3, no. 1 (2020): 123–30. http://dx.doi.org/10.32598/fdj.3.19.

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Background & Objectives: Dementia is a prevalent disorder around the world. However, its chronic and progressive nature mostly affects physical and psychosocial characteristics and public healthcare. Recently, multisensory interventions have been used in people with dementia as one of the nonpharmacological treatment methods. This narrative review intends to explain multisensory stimulation programs or Snoezelen for those affected with dementia. Methods: Keywords such as “sensory-based intervention”, “sensory stimulation”, “sensory processing”, “Snoezelen”, “sensory modulation”, and “demen

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Neufeld, Janina, Christopher Sinke, Daniel Wiswede, Hinderk M. Emrich, Stefan Bleich, and Gregor R. Szycik. "Multisensory processes in the synaesthetic brain — An event-related potential study in multisensory competition situations." Seeing and Perceiving 25 (2012): 101. http://dx.doi.org/10.1163/187847612x647333.

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In synaesthesia certain external stimuli (e.g., music) trigger automatically internally generated sensations (e.g., colour). Results of behavioural investigations indicate that multisensory processing works differently in synaesthetes. However, the reasons for these differences and the underlying neural correlates remain unclear. The aim of the current study was to investigate if synaesthetes show differences in electrophysiological components of multimodal processing. Further we wanted to test synaesthetes for an enhanced distractor filtering ability in multimodal situations. Therefore, line

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Fábry Lucká, Zuzana. "Expressiveness in Multisensory Approaches." Studia Scientifica Facultatis Paedagogicae Universitas Catholica Ružomberok 21, no. 2 (2022): 60–66. http://dx.doi.org/10.54937/ssf.2022.21.2.60-66.

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The paper presents partial results of research carried out in the field of multisensory approaches. It deals with the issue of expressiveness in relation to the sensory potential of a person with multiple disadvantages. The contribution is a partial output of the KEGA project no. 002-UK-4/2020 Support for a child with sensory processing disorder through a multisensory environment.

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Thelen, Antonia, and Micah M. Murray. "The Efficacy of Single-Trial Multisensory Memories." Multisensory Research 26, no. 5 (2013): 483–502. http://dx.doi.org/10.1163/22134808-00002426.

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Abstract:

This review article summarizes evidence that multisensory experiences at one point in time have long-lasting effects on subsequent unisensory visual and auditory object recognition. The efficacy of single-trial exposure to task-irrelevant multisensory events is its ability to modulate memory performance and brain activity to unisensory components of these events presented later in time. Object recognition (either visual or auditory) is enhanced if the initial multisensory experience had been semantically congruent and can be impaired if this multisensory pairing was either semantically incongr

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Sürig, Ralf, Davide Bottari, and Brigitte Röder. "Transfer of Audio-Visual Temporal Training to Temporal and Spatial Audio-Visual Tasks." Multisensory Research 31, no. 6 (2018): 556–78. http://dx.doi.org/10.1163/22134808-00002611.

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Abstract:

Temporal and spatial characteristics of sensory inputs are fundamental to multisensory integration because they provide probabilistic information as to whether or not multiple sensory inputs belong to the same event. The multisensory temporal binding window defines the time range within which two stimuli of different sensory modalities are merged into one percept and has been shown to depend on training. The aim of the present study was to evaluate the role of the training procedure for improving multisensory temporal discrimination and to test for a possible transfer of training to other mult

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