Results 101 to 110 of about 55,343 (294)

Multisensory Integration Sites Identified by Perception of Spatial Wavelet Filtered Visual Speech Gesture Information [PDF]

, 2004
Perception of speech is improved when presentation of the audio signal is accompanied by concordant visual speech gesture information. This enhancement is most prevalent when the audio signal is degraded.
Callan, Akiko M., Callan, Daniel E., Jones, Jeffery A., Kroos, Christian, Munhall, Kevin, Vatikiotis-Bateson, Eric   +5 more
core   +2 more sources

Memristive Physical Reservoir Computing

Advanced Science, EarlyView.
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao, Ziyuan Wang, Jingrui Wang, Li Zhang, Xianhua Wei, Lingxiang Hu, Zongxiao Li, Athanasios V. Vasilakos, Zhizhen Ye, Fei Zhuge   +9 more
wiley   +1 more source

Multisensory body representation in autoimmune diseases [PDF]

, 2016
Body representation has been linked to the processing and integration of multisensory signals. An outstanding example of the pivotal role played by multisensory mechanisms in body representation is the Rubber Hand Illusion (RHI).
A Pascual-Leone, A Tajadura-Jimenez, AH Moore, AK Majewska, AM Hein, B Lee, B Lenggenhager, BE Stein, BE Stein, D Bavelier, D Lozano-Soldevilla, E Grossi, FM LaFerla, G Buzsaki, G Gonzalez-Burgos, G Oberhuber, G Stefanics, H McGurk, H Schneider, H Xiong, IJ Kim, J Lange, JS Manavalan, L Shams, L Shams, LM Boulanger, LM Boulanger, M Botvinick, M Costantini, M Penedo-Pita, M Tsakiris, M Tsakiris, M Tsakiris, MC Fornari, MJ Sleigh, MR Longo, MT Wallace, MT Wallace, MT Wallace, N Barnsley, O Blanke, O Blanke, P Lakatos, R Doenlen, R Hirunsatit, R Schandry, R Scheeringa, R Yirmiya, S Bauer, S Ionta, S Ionta, S Shimojo, TR Makin, TR Stanford, Y Zhou   +54 more
core   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Multisensory Congruency as a Mechanism for Attentional Control over Perceptual Selection [PDF]

, 2009
The neural mechanisms underlying attentional selection of competing neural signals for awareness remains an unresolved issue. We studied attentional selection, using perceptually ambiguous stimuli in a novel multisensory paradigm that combined competing ...
Alais, David, Parker, Amanda L., van Boxtel, Jeroen J. A., van Ee, Raymond   +3 more
core   +2 more sources

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Multisensory integration impacts coordination

BIO Web of Conferences, 2011
Behavioral benefits have been recently evidenced via multisensory integration process. Reaction times, detection or synchronization performances could be made more efficient by a bimodal stimulation than by its unimodal components.
Lagarde J., Zelic G., Mottet D.
doaj   +1 more source

Development of multisensory spatial integration and perception in humans [PDF]

, 2006
Previous studies have shown that adults respond faster and more reliably to bimodal compared to unimodal localization cues. The current study investigated for the first time the development of audiovisual (A‐V) integration in spatial localization ...
Chee-Ruiter, Christine, Lewkowicz, David J., Neil, Patricia A., Scheier, Christian, Shimojo, Shinsuke   +4 more
core  

Alphabet-based Multisensory Data Fusion and Classification using Factor Graphs [PDF]

, 2013
The way of multisensory data integration is a crucial step of any data fusion method. Different physical types of sensors (optic, thermal, acoustic, or radar) with different resolutions, and different types of GIS digital data (elevation, vector map ...
Makarau, Aliaksei, Palubinskas, Gintautas, Reinartz, Peter   +2 more
core   +1 more source

Olfactory Bulb Volume Reflects Olfactory Dysfunction and Network Organization: Insights From the Population‐Based Rhineland Study

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Olfactory dysfunction is common in aging and an early symptom of neurodegenerative diseases, but how structural (olfactory bulb [OB] volume) and functional (olfactory network [OFN] functional connectivity [FC]) brain features interact to shape odor identification ability remains unclear.
Weiyi Zeng, Konstantinos Melas, Santiago Estrada, N. Ahmad Aziz, Monique M. B. Breteler   +4 more
wiley   +1 more source