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MOOS middleware and node adaptivity in underwater sensor networks: Results from the UAN11 sea trial

TitleMOOS middleware and node adaptivity in underwater sensor networks: Results from the UAN11 sea trial
Publication TypeConference Paper
Year of Publication2012
Conference NameProceedings of Meetings on Acoustics
Pagination1–9
Date Published2-6 July,
AuthorsCaiti, A, Calabrò, V, Dini, G, Duca, A, Munafò, A
PublisherAcoustical Society of America
Conference LocationEdinburgh
KeywordsRobotics
URLhttp://dx.medra.org/10.1121/1.4772678
DOI10.1121/1.4772678

AUVs as mobile nodes in acoustic networks: field experience at the UAN10 experiment

TitleAUVs as mobile nodes in acoustic networks: field experience at the UAN10 experiment
Publication TypeConference Paper
Year of Publication2011
Conference NameProceedings of the OCEANS’11 IEEE Santander Conference
Pagination1–6
Date PublishedJune
AuthorsCaiti, A, Calabrò, V, Dini, G, Lo Duca, A, Munafò, A
KeywordsRobotics
URLhttp://dx.medra.org/10.1109/Oceans-Spain.2011.6003462
DOI10.1109/Oceans-Spain.2011.6003462

A Mobile Biosensor to detect Cardiorespiratory Activity for Stress Tracking

TitleA Mobile Biosensor to detect Cardiorespiratory Activity for Stress Tracking
Publication TypeConference Paper
Year of Publication2013
Conference NameIEEE 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth)
Pagination440 - 445
Publication Languageeng
AuthorsCarbonaro, N, Tognetti, A, Anania, G, De Rossi, D, Cipresso, P, Gaggioli, A, Riva, G
Conference LocationVenice, Italy
KeywordsBioengineering
Abstract

Stress is an increasingly recognized phenomenon that has negative effects on growing numbers of people. Stress assessment is a complex issue, but different studies have shown that monitoring user psychophysiological parameter during daily life can be greatly helpful in stress evaluation. In this study a wearable biosensor platform able to collect physiological and behavioral parameters is reported. The developed wearable platform, in terms of hardware and processing algorithms, is described. Moreover the use of this wearable biosensor platform in combination with advanced simulation technologies, such as virtual reality offer interesting opportunities for innovative personal health-care solutions to stress. A recently founded European project, "INTERSTRESS - Interreality in the management and treatment of stress-related disorders," will take into account these relevant aspects.

Novel Spiking Neuron-Astrocyte Networks based on NoNlinearTransistor-Like Models of Tripartite Synapses

TitleNovel Spiking Neuron-Astrocyte Networks based on NoNlinearTransistor-Like Models of Tripartite Synapses
Publication TypeConference Paper
Year of Publication2013
Conference NameAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13)
AuthorsValenza, G, Tedesco, L, Lanata, A, De Rossi, D, Scilingo, EP
Conference LocationOsaka, Japan
KeywordsBioengineering
Abstract

In this paper a novel and efficient computational implementation of a Spiking Neuron-Astrocyte Network (SNAN) is reported. Neurons are modeled according to the Izhikevich formulation and the neuron-astrocyte interactions are intended as tripartite synapsis and modeled with the previ- ously proposed nonlinear transistor-like model. Concerning the learning rules, the original spike-timing dependent plasticity is used for the neural part of the SNAN whereas an ad-hoc rule is proposed for the astrocyte part. SNAN performances are compared with a standard spiking neural network (SNN) and evaluated using the polychronization concept, i.e., number of co-existing groups that spontaneously generate patterns of polychronous activity. The astrocyte-neuron ratio is the biologically inspired value of 1.5. The proposed SNAN shows higher number of polychronous groups than SNN, remarkably achieved for the whole duration of simulation (24 hours).

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