Analysis and improvement of vehicle information sharing networks

2016 ◽  
Vol 452 ◽  
pp. 106-112 ◽  
Author(s):  
Hang Gong ◽  
Kun He ◽  
Yingchun Qu ◽  
Pu Wang
Keyword(s):  
Information Sharing ◽  
Vehicle Information ◽  
Information Sharing Networks

An exploratory survey of the applications of telemedicine in Ghana

2000 ◽  
Vol 6 (3) ◽  
pp. 177-183 ◽  
Author(s):  
Osei Darkwa
Keyword(s):  
Information Technology ◽  
Information Sharing ◽  
Access To Health Care ◽  
Urban Hospital ◽  
Major Barrier ◽  
Technology Products ◽  
Medical Institutions ◽  
Access To Health ◽  
Computer Literate ◽  
Information Sharing Networks

We examined the use of telemedicine at two major medical institutions in Ghana. Doctors and administrators were surveyed to assess their knowledge of computers and familiarity with telemedicine. The use of modern telecommunications and information technology products within the health service was also examined. Thirty questionnaires were distributed to staff at the two hospitals, one urban and one rural. Twenty were returned (a response rate of 67%). Although most of the respondents were computer literate, they were less familiar with telemedicine applications. Only a minority of the respondents were participating in an information-sharing network, transmitting information by fax or telephone, or had Internet access. Financial constraint appeared to be the major barrier to establishing information-sharing networks. Other constraints were technological and organizational. The respondents expressed an interest in using telemedicine, having access to health-care databases and specific telemedicine applications such as tele-education and videoconferencing. Staff in the urban hospital were more likely to be familiar with telemedicine and more likely to have access to information technology than those in the rural hospital.

scholarly journals Dynamic core periphery structure of information sharing networks in entorhinal cortex and hippocampus

2020 ◽  
Author(s):  
Nicola Pedreschi ◽  
Christophe Bernard ◽  
Wesley Clawson ◽  
Pascale Quilichini ◽  
Alain Barrat ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Information Sharing ◽  
Cell Assembly ◽  
Temporal Network ◽  
Cell Assemblies ◽  
The Core ◽  
Temporal Connectivity ◽  
Network States ◽  
Information Sharing Networks ◽  
Share Information

ABSTRACTNeural computation is associated with the emergence, reconfiguration and dissolution of cell assemblies in the context of varying oscillatory states. Here, we describe the complex spatio-temporal dynamics of cell assemblies through temporal network formalism. We use a sliding window approach to extract sequences of networks of information sharing among single units in hippocampus and enthorinal cortex during anesthesia and study how global and node-wise functional connectivity properties evolve along time and as a function of changing global brain state (theta vs slow-wave oscillations). First, we find that information sharing networks display, at any time, a core-periphery structure in which an integrated core of more tightly functionally interconnected units link to more loosely connected network leaves. However the units participating to the core or to the periphery substantially change across time-windows, with units entering and leaving the core in a smooth way. Second, we find that discrete network states can be defined on top of this continuously ongoing liquid core-periphery reorganization. Switching between network states results in a more abrupt modification of the units belonging to the core and is only loosely linked to transitions between global oscillatory states. Third, we characterize different styles of temporal connectivity that cells can exhibit within each state of the sharing network. While inhibitory cells tend to be central, we show that, otherwise, anatomical localization only poorly influences the patterns of temporal connectivity of the different cells. Furthermore, cells can change temporal connectivity style when the network changes state. Altogether, these findings reveal that the sharing of information mediated by the intrinsic dynamics of hippocampal and enthorinal cortex cell assemblies have a rich spatiotemporal structure, which could not have been identified by more conventional time- or state-averaged analyses of functional connectivity.AUTHOR SUMMARYIt is generally thought that computations performed by local brain circuits rely on complex neural processes, associated to the flexible waxing and waning of cell assemblies, i.e. ensemble of cells firing in tight synchrony. Although cell assembly formation is inherently and unavoidably dynamical, it is still common to find studies in which essentially “static” approaches are used to characterize this process. In the present study, we adopt instead a temporal network approach. Avoiding usual time averaging procedures, we reveal that hub neurons are not hardwired but that cells vary smoothly their degree of integration within the assembly core. Furthermore, our temporal network framework enables the definition of alternative possible styles of “hubness”. Some cells may share information with a multitude of other units but only in an intermittent manner, as “activists” in a flash mob. In contrast, some other cells may share information in a steadier manner, as resolute “lobbyists”. Finally, by avoiding averages over pre-imposed states, we show that within each global oscillatory state a rich switching dynamics can take place between a repertoire of many available network states. We thus show that the temporal network framework provides a natural and effective language to rigorously describe the rich spatiotemporal patterns of information sharing instantiated by cell assembly evolution.

Threat Modeling in EPC-Based Information Sharing Networks

2009 ◽  
Author(s):  
Alexander Ilic ◽  
Trevor Burbridge ◽  
Andrea Soppera ◽  
Florian Michahelles ◽  
Elgar Fleisch
Keyword(s):  
Information Sharing ◽  
Threat Modeling ◽  
Information Sharing Networks

Friendliness and Cost Heterogeneity in Information Sharing Networks

2016 ◽  
Vol 22 (12) ◽  
pp. 4293-4298
Author(s):  
Banchongsan Charoensook
Keyword(s):  
Information Sharing ◽  
Information Sharing Networks

scholarly journals Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus

2020 ◽  
Vol 4 (3) ◽  
pp. 946-975
Author(s):  
Nicola Pedreschi ◽  
Christophe Bernard ◽  
Wesley Clawson ◽  
Pascale Quilichini ◽  
Alain Barrat ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Information Sharing ◽  
Entorhinal Cortex ◽  
Liquid Core ◽  
Brain State ◽  
Cell Assemblies ◽  
The Core ◽  
Temporal Connectivity ◽  
Network States ◽  
Information Sharing Networks

Neural computation is associated with the emergence, reconfiguration, and dissolution of cell assemblies in the context of varying oscillatory states. Here, we describe the complex spatiotemporal dynamics of cell assemblies through temporal network formalism. We use a sliding window approach to extract sequences of networks of information sharing among single units in hippocampus and entorhinal cortex during anesthesia and study how global and node-wise functional connectivity properties evolve through time and as a function of changing global brain state (theta vs. slow-wave oscillations). First, we find that information sharing networks display, at any time, a core-periphery structure in which an integrated core of more tightly functionally interconnected units links to more loosely connected network leaves. However the units participating to the core or to the periphery substantially change across time windows, with units entering and leaving the core in a smooth way. Second, we find that discrete network states can be defined on top of this continuously ongoing liquid core-periphery reorganization. Switching between network states results in a more abrupt modification of the units belonging to the core and is only loosely linked to transitions between global oscillatory states. Third, we characterize different styles of temporal connectivity that cells can exhibit within each state of the sharing network. While inhibitory cells tend to be central, we show that, otherwise, anatomical localization only poorly influences the patterns of temporal connectivity of the different cells. Furthermore, cells can change temporal connectivity style when the network changes state. Altogether, these findings reveal that the sharing of information mediated by the intrinsic dynamics of hippocampal and entorhinal cortex cell assemblies have a rich spatiotemporal structure, which could not have been identified by more conventional time- or state-averaged analyses of functional connectivity.

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