MEG and Multimodal Integration

2019 ◽  
pp. 1-20
Author(s):  
Seppo P. Ahlfors
Keyword(s):  
Multimodal Integration

The Use of Port Performance Indexes in the Transport Economy and the Strengthening of Port Competitiveness

2019 ◽  
Vol 10 (5) ◽  
pp. 387-394
Author(s):  
Astrida Rijkure ◽  
Keyword(s):  
Quality Assurance ◽  
Performance Indicators ◽  
Management Practices ◽  
International Competitiveness ◽  
International Experience ◽  
Multimodal Integration ◽  
Pricing Policies ◽  
Performance Indexes ◽  
Quality Assurance Process ◽  
Assurance Process

Ports in the transport economy have an important role to play in the competitiveness of ports. There is an increasing climate of competition, which causes ports to invest in development and to improve their transport corridors, governance principles and pricing policies in order to strengthen international competitiveness of ports and to ensure that their management practices are in line with the positive international experience. In order to increase the efficiency of transport, to promote the use of environmentally friendly technologies and to improve the international competitiveness of port transport corridors, it is important for ports to determine their own KPI indicators that would be used to assess port performance indicators. As ports are responsible for the quality assurance of port services, even if they do not provide such services, monitoring and assessing of the KPI must be part of the quality assurance process. The objective of this study is to define the port performance-enhancing KPI indexes and to make suggestions for how KPI application in the transport economy can strengthen the international competitiveness of ports and ensure that their management practises international experience. The study’s tasks are to define the appropriate KPI indexes, group them according to interlinked principles, and provide proposals on how to use them to improve the international competitiveness of ports and the main transport system multimodal integration.

The effect of interpersonal multisensory stimulation on the self-face recognition in adults with autistic syndrome disorder

2016 ◽  
Vol 33 (S1) ◽  
pp. S367-S368
Author(s):  
N. Deltort ◽  
J.R. Cazalets ◽  
A. Amestoy ◽  
M. Bouvard
Keyword(s):  
Face Recognition ◽  
Mental Representation ◽  
Recognition Task ◽  
The Self ◽  
Control Group ◽  
Multimodal Integration ◽  
Multisensory Stimulation ◽  
Significant Difference ◽  
Unfamiliar Face ◽  
Multimodal Process

Studies on individuals without developmental disorder show that mental representation of self-face is subject to a multimodal process in the same way that the representation of the self-body is. People with autistic spectrum disorder (ASD) have a particular pattern of face processing and a multimodal integration deficit.The objectives of our study were to evaluate the self-face recognition and the effect of interpersonal multisensory stimulation (IMS) in individuals with ASD. We aimed to show a self-face recognition deficit and a lack of multimodal integration among this population.IMS consisted of the presentation of a movie displaying an unfamiliar face being touched intermittently, while the examiner applied the same stimulation synchronously or asynchronously on the participant. The effect resulting from IMS was measured on two groups with or without ASD by a self-face recognition task on morphing movies made from self-face and unfamiliar-face pictures.There was a significant difference between groups on self-recognition before stimulation. This result shows a self-face recognition deficit in individuals with ASD. Results for the control group showed a significant effect of IMS on self-face recognition in synchronous condition. This suggests the existence of an update of self-face mental representation by multimodal process. In contrast, there was no significant effect of IMS demonstrated in ASD group, suggesting a multimodal integration deficit for the constitution of self-representation in this population.Our results show the existence of a self-face recognition deficit in individuals with ASD, which may be linked to a lack of multimodal integration in the development of the self-face representation.Disclosure of interestThe authors have not supplied their declaration of competing interest.

OptiCoS - A New Optical Co-registration System for Multimodal Integration

2001 ◽  
Vol 46 (s2) ◽  
pp. 127-129 ◽  
Author(s):  
H. Lindenthal ◽  
H.-P. Müller ◽  
A. Pasquarelli ◽  
S.N. Erné
Keyword(s):  
Multimodal Integration ◽  
Registration System

scholarly journals DISSECT: DISentangle SharablE ConTent for Multimodal Integration and Crosswise-mapping

2020 ◽  
Author(s):  
Geoffrey Schau ◽  
Erik Burlingame ◽  
Young Hwan Chang
Keyword(s):  
Deep Learning ◽  
Complete Information ◽  
Specific Information ◽  
Multimodal Integration ◽  
Specific Data ◽  
Domain Specific ◽  
Cross Domain ◽  
Input Feature ◽  
Novel Approach ◽  
Latent Representations

AbstractDeep learning systems have emerged as powerful mechanisms for learning domain translation models. However, in many cases, complete information in one domain is assumed to be necessary for sufficient cross-domain prediction. In this work, we motivate a formal justification for domain-specific information separation in a simple linear case and illustrate that a self-supervised approach enables domain translation between data domains while filtering out domain-specific data features. We introduce a novel approach to identify domainspecific information from sets of unpaired measurements in complementary data domains by considering a deep learning cross-domain autoencoder architecture designed to learn shared latent representations of data while enabling domain translation. We introduce an orthogonal gate block designed to enforce orthogonality of input feature sets by explicitly removing non-sharable information specific to each domain and illustrate separability of domain-specific information on a toy dataset.

scholarly journals Different neural strategies for multimodal integration: comparison of two macaque monkey species

2009 ◽  
Vol 195 (1) ◽  
pp. 45-57 ◽  
Author(s):  
Soroush G. Sadeghi ◽  
Diana E. Mitchell ◽  
Kathleen E. Cullen
Keyword(s):  
Macaque Monkey ◽  
Multimodal Integration ◽  
Monkey Species
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