Results 81 to 90 of about 56,121 (319)

Predictive Coding and Multisensory Integration: An Attentional Account of the Multisensory Mind

Frontiers in Integrative Neuroscience, 2015
Multisensory integration involves a host of different cognitive processes, occurring at different stages of sensory processing. Here I argue that, despite recent insights suggesting that multisensory interactions can occur at very early latencies, the ...
Durk eTalsma
doaj   +1 more source

The variability of multisensory processes of natural stimuli in human and non-human primates in a detection task. [PDF]

PLoS ONE, 2017
BACKGROUND:Behavioral studies in both human and animals generally converge to the dogma that multisensory integration improves reaction times (RTs) in comparison to unimodal stimulation. These multisensory effects depend on diverse conditions among which
Cécile Juan, Céline Cappe, Baptiste Alric, Benoit Roby, Sophie Gilardeau, Pascal Barone, Pascal Girard   +6 more
doaj   +1 more source

Caveat Emptor: The Meaning of Perception and Integration in Speech Perception [PDF]

, 2009
A recent letter^1^ claimed integration of auditory and tactile information in speech perception. Although I have been an advocate of multisensory integration, neither perception nor integration was sufficiently formalized, operationalized, and tested to ...
Dominic Massaro
core   +1 more source

The role of the right temporoparietal junction in perceptual conflict: detection or resolution? [PDF]

, 2010
The right temporoparietal junction (rTPJ) is a polysensory cortical area that plays a key role in perception and awareness. Neuroimaging evidence shows activation of rTPJ in intersensory and sensorimotor conflict situations, but it remains unclear ...
A Maravita, AC Nobre, AL Benton, BE Stein, C Farrer, C Press, C Spence, C Spence, C Spence, CD Chambers, CS Harris, D Balslev, DI Shore, DJ Mort, DT Leube, E Bisiach, E Mayer, EM Robertson, EM Wassermann, F Pavani, F Vega-Bermudez, FJ Friedrich, G Committeri, G Goldenberg, G Goldenberg, G Vallar, G Vallar, GL Shulman, GR Fink, HO Karnath, I Rock, IG Meister, J Decety, J Decety, J Downar, J Downar, JA Harris, JJ Collins, JM Lewis, JM Zacks, JW Lewis, Liuba Papeo, M Corbetta, M Corbetta, M Corbetta, M Corbetta, M Kinsbourne, M Tsakiris, Matteo Feurra, Matthew R. Longo, MI Posner, MM Ernst, MM Mesulam, MM Mesulam, MO Ernst, MR Longo, NP Holmes, O Blanke, O Blanke, O Blanke, P Brugger, P Haggard, Patrick Haggard, R Jalinous, R Schweizer, RC Oldfield, RJ Perry, RO Duncan, S Kennett, S Yamaguchi, S Yamamoto, SA Spence, SL Beilock, SL Beilock, SV Astafiev, T Ro, VS Ramachandran, VS Ramachandran, Y Li   +78 more
core   +1 more source

Multisensory integration enhances phonemic restoration

The Journal of the Acoustical Society of America, 2009
Phonemic restoration occurs when speech is perceived to be continuous through noisy interruptions, even when the speech signal is artificially removed from the interrupted epochs. This temporal filling-in illusion helps maintain robust comprehension in adverse environments and illustrates how contextual knowledge through the auditory modality (e.g ...
Antoine J, Shahin, Lee M, Miller
openaire   +3 more sources

Multisensory integration using dynamical Bayesian networks [PDF]

Frontiers in Computational Neuroscience, 2015
Multisensory Integration (MSI) is the study of how information coming from different sensory modalities, such as vision, audition and etc. are being integrated by the nervous system (Stein et al., 2009) as a complex system. MSI is one of the most important aspects of neuroscience which has a great influence on our decision making system. It plays a key
Abbas Shangari, Taher, Falahi, Mohsen, Bakouie, Fatemeh, Gharibzadeh, Shahriar   +3 more
openaire   +3 more sources

Recent Advances and Perspectives on Field‐Effect Transistors for Artificial Visual Neuromorphic Systems

Advanced Science, EarlyView.
This review presents a comprehensive overview of FET‐based visual neuromorphic systems, covering their semiconductor materials, core device architectures, and operating mechanisms. It further reviews their implementation in emulating biological visual functions, addresses current technological challenges, and outlines future development directions. The
Liu Yaqian, Lang Menghua, Xu Yihang, Zhang Manyu, Lei Chunkang, Lu Xiaozhou, Dou Yi, Wang Lingli, Jiang Liying, Hu Yuanyuan, Chen Huipeng, Jiang Lang   +11 more
wiley   +1 more source

Critical Learning Periods for Multisensory Integration in Deep Networks [PDF]

, 2022
Michael Kleinman, Alessandro Achille, Stefano Soatto   +2 more
openalex   +1 more source

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

Advanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu, Ke Zhang, Zelei Miao, Gaoyi Yang, Yujing Huang, Ju‐Sheng Zheng   +5 more
wiley   +1 more source

An Experimenter's Influence on Motor Enhancements: The Effects of Letter Congruency and Sensory Switch-Costs on Multisensory Integration

Frontiers in Psychology, 2020
Multisensory integration can alter information processing, and previous research has shown that such processes are modulated by sensory switch costs and prior experience (e.g., semantic or letter congruence).
Ayla Barutchu, Charles Spence
doaj   +1 more source