IEEE Organizations related to Neuroendocrinology

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Conferences related to Neuroendocrinology

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2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)

Neural Engineering

  • 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural Engineering is an emerging core discipline,which coalesces neuroscience with engineering.Members of both the Neuroscience and Engineering Communities areencouraged to attend this highly multidisciplinarymeeting. The conference will highlight the emergingengineering innovations in the restoration andenhancement of impaired sensory, motor, andcognitive functions, novel engineering for deepeningknowledge of brain function, and advanced designand use of neurotechnologies

  • 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural engineering deals with many aspects of basic and clinical problemsassociated with neural dysfunction including the representation of sensory and motor information, theelectrical stimulation of the neuromuscular system to control the muscle activation and movement, theanalysis and visualization of complex neural systems at multi -scale from the single -cell and to the systemlevels to understand the underlying mechanisms, the development of novel neural prostheses, implantsand wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction including the representation of sensory and motor information, the electrical stimulation of the neuromuscular system to control the muscle activation and movement, the analysis and visualization of complex neural systems at multi-scale from the single-cell and to the system levels to understand the underlying mechanisms, the development of novel neural prostheses, implants and wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2011 5th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.

  • 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.

  • 2007 3rd International IEEE/EMBS Conference on Neural Engineering

  • 2005 2nd International IEEE/EMBS Conference on Neural Engineering

  • 2003 1st International IEEE/EMBS Conference on Neural Engineering


2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

IPSN (part of CPSWEEK) brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research. Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the Internet of Things, machine learning, mobile and social sensing, and embedded systems design. Of special interest are contributions at the confluence of multiple of these areas.

  • 2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

    The International Conference on Information Processing in Sensor Networks (IPSN) is a leading, single-track, annual forum on research in networked sensing and control, broadly defined. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research. Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the internet of things, machine learning, mobile and social sensing, and embedded systems design. Of special interest are contributions at the confluence of a multiple of these areas. The conference features two interleaving tracks, the Information Processing (IP) track, and the Sensor Platforms, Tools and Design Methods (SPOTS) track. We also encourage submissions on innovative applications of sensor network to real world problems.

  • 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

    The International Conference on Information Processing in Sensor Networks (IPSN) is a leading, single-track, annual forum on research in networked sensing and control, broadly defined. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research. Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the internet of things, machine learning, mobile and social sensing, and embedded systems design. Of special interest are contributions at the confluence of a multiple of these areas. The conference features two interleaving tracks, the Information Processing (IP) track, and the Sensor Platforms, Tools and Design Methods (SPOTS) track. We also encourage submissions on innovative applications of sensor network to real world problems.

  • 2015 14th ACM/IEEE Conference on Information Processingin Sensor Networks (IPSN)

    The International Conference on Information Processing in Sensor Networks (IPSN) is a leading, single-track, annual forum on research in networked sensing and control, broadly defined. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research. Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the internet of things, machine learning, mobile and social sensing, and embedded systems design. Of special interest are contributions at the confluence of a multiple of these areas. The conference features two interleaving tracks, the Information Processing (IP) track, and the Sensor Platforms, Tools and Design Methods (SPOTS) track. We also encourage submissions on innovative applications of sensor network to real world problems.

  • 2014 13th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

    The International Conference on Information Processing in Sensor Networks (IPSN) is a leading, single-track, annual forum on research in networked sensing and control, broadly defined. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research. Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the internet of things, machine learning, mobile and social sensing, and embedded systems design. Of special interest are contributions at the confluence of a multiple of these areas. The conference features two interleaving tracks, the Information Processing (IP) track, and the Sensor Platforms, Tools and Design Methods (SPOTS) track. We also encourage submissions on innovative applications of sensor network to real world problems.

  • 2013 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

    The conference features two interleaved tracks, the Information Processing (IP) track, and the Sensor Platforms, Tools and Design Methods (SPOTS) track.

  • 2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)

    IPSN includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the Internet of Things, machine learning, and embedded systems design.

  • 2011 10th International Conference on Information Processing in Sensor Networks (IPSN)

    The International Conference on Information Processing in Sensor Networks (IPSN) is a leading, single-track, annual forum on sensor network research. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research.

  • 2010 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

    The International Conference on Information Processing in Sensor Networks (IPSN) is a leading, single-track, annual forum on sensor network research. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research.

  • 2009 8th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

    The International Conference on Information Processing in Sensor Networks (IPSN) is a leading, single-track, annual forum that brings together researchers from academia, industry, and government to present and discuss recent advances in sensor network research and applications. The conference covers both theoretical and experimental research, as it pertains to sensor networks, in a broad range of disciplines including signal and image processing, information and coding theory, databases and information mana

  • 2008 7th International Conference on Information Processing in Sensor Networks (IPSN)

    IPSN is the leading conference including research in wireless sensor network technology including theory, algorithms, software systems, and sensor network hardware.

  • 2007 6th International Symposium on Information Processing in Sensor Networks (IPSN)

  • 2006 5th International Symposium on Information Processing in Sensor Networks (IPSN)

  • 2005 4th International Symposium on Information Processing in Sensor Networks (IPSN)

  • 2004 3rd International Workshop on Information Processing in Sensor Networks (IPSN)


2017 22nd International Conference on Digital Signal Processing (DSP)

This is to bring together research scholars in signal processing, working in various applications, together and mark the 50th anniversary of this event in London, UK, where this event started 50 years ago.


2011 International Conference on Electrical, Control and Computer Engineering (INECCE)

Power Electronics, Signal Processing, Alternative Energy, Smart Sensors, Intelligent Control, Robotics, Mechatronics, Computer Vision, DNA Computational, Embedded Systems, Computer Networks



Periodicals related to Neuroendocrinology

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Xplore Articles related to Neuroendocrinology

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Finite element simulation of transcranial current stimulation in realistic rat head model

2011 5th International IEEE/EMBS Conference on Neural Engineering, 2011

Transcranial current stimulation (tCS) is a method for modulating neural excitability and is used widely for studying brain function. Although tCS has been used on the rat, there is limited knowledge on the induced electric field distribution during stimulation. This work presents the finite element (FE) simulations of tCS in a realistic rat head model derived from MRI data. We ...


Poster abstract: Accurate monitoring of circardian rhythms using wearable Body Sensor Networks

Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2011

Monitoring the impact of sleep deprivation on thermoregulation requires a careful measurement of skin temperature across the human body to have precise knowledge and understanding of the stability of circadian rhythms, the 24-hour cycles of biological activity. However, medical measurements and clinical trials are often carried out in controlled lab settings, which limits the realism and the duration of data ...


Biochip development using nanoimprint lithography (NIL) and metallic thermal evaporation techniques for biological cells manipulation using DEP

International Conference on Electrical, Control and Computer Engineering 2011 (InECCE), 2011

A Biochip is a platform of miniaturized microarrays arranged on a solid substrate that permits many tests to be performed at the same time in order to achieve higher throughput and speed. Single-cell identification, imaging and analysis in situ using Atomic Force Microscopy (AFM) faced a lot of difficulties as immobilizing the cells for direct cellular analysis is still a ...


Portable electrophysiologic monitoring based on the OMAP-family processor from a beginners' prospective

2009 16th International Conference on Digital Signal Processing, 2009

We present here the experiences made on taking some first steps into the world of dual-core embedded processor technology. The processors we consider here consist of one DSP core and one general-purpose ARM core as are commonly used today by large mobile phone manufacturers. We describe some beginner's problems we encountered with Texas Instruments' OMAP platform and suggest some ways ...


Preventing obesity and eating disorders through behavioural modifications: The SPLENDID vision

2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH), 2014

Recent intensive research in the fields of obesity and eating disorders has proved most traditional interventions inadequate: The obesity-targeting interventions have either failed or are strongly social context dependent, while the interventions for eating disorders have poor results and high levels of relapse. On the contrary, recent randomized control trials have illustrated that supervised training of patients to eat and ...



Educational Resources on Neuroendocrinology

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IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Neuroendocrinology"

IEEE-USA E-Books

  • Finite element simulation of transcranial current stimulation in realistic rat head model

    Transcranial current stimulation (tCS) is a method for modulating neural excitability and is used widely for studying brain function. Although tCS has been used on the rat, there is limited knowledge on the induced electric field distribution during stimulation. This work presents the finite element (FE) simulations of tCS in a realistic rat head model derived from MRI data. We simulated two electrode configurations and analyzed the spatial focality of the induced electric field for three implantation depth scenarios : (1) electrode implanted at the surface of the skull, (2) halfway through the skull and (3) in contact with cerebrospinal fluid. We quantitatively show the change in focality of stimulation with depth. This work emphasizes the importance of performing FE analysis in realistic models as a vital step in the design of tCS rat experiments. This can yield a better understanding of the location and intensity of stimulation, and its correlation to brain function.

  • Poster abstract: Accurate monitoring of circardian rhythms using wearable Body Sensor Networks

    Monitoring the impact of sleep deprivation on thermoregulation requires a careful measurement of skin temperature across the human body to have precise knowledge and understanding of the stability of circadian rhythms, the 24-hour cycles of biological activity. However, medical measurements and clinical trials are often carried out in controlled lab settings, which limits the realism and the duration of data collections, and increases significantly their costs. We aim to provide medical researchers studying the stability of the circadian rhythms with a tool for higher quality data collections. We design and develop a wireless unobtrusive monitoring system for accurate body temperature measurements to be worn by patients for several weeks while they live their normal life. Obtaining a long-lasting highly-accurate measurement system is challenging, as energy and computational resources are severely constrained in miniaturized wearable sensor nodes. We develop a prototype of an active temperature measurement system with 0.02°C accuracy, a lifetime of up to 3 weeks, and real-time feedback to a remote medic. Our preliminary experiments show that we can identify the circadian rhythms also in non- ambulatory environments, indicating that our tool could become a valuable asset for medical research.

  • Biochip development using nanoimprint lithography (NIL) and metallic thermal evaporation techniques for biological cells manipulation using DEP

    A Biochip is a platform of miniaturized microarrays arranged on a solid substrate that permits many tests to be performed at the same time in order to achieve higher throughput and speed. Single-cell identification, imaging and analysis in situ using Atomic Force Microscopy (AFM) faced a lot of difficulties as immobilizing the cells for direct cellular analysis is still a major challenge. One approach to overcome this problem was the use of organized arrangements like microarrays to trap the cells and placed them in a controlled manner. This can be achieved by fabricating these microarrays on a special platform such as Biochip. To manipulate the cells' movements, an electrokinetic phenomenon known as dielectrophoresis (DEP) was used for that purpose. Non-uniform AC electric fields generated by the interdigitated microelectrode arrays provide an ideal method for manipulating and controlling particles. The cells were captured using positive and negative DEP forces in cavities placed at different locations within the electrode arrays. As some cells have no tendency to spread over substrates during culturing, the contact area between the cell and substrate is very small, often leading to cell detachment by the scanning tip. Thus by employing the cavity trapping method, not only the cells were perfectly anchored to the surface but also their heights were lowered to within a set-scan level of the AFM, enabling faster time-to-analysis. This paper reports the development of a new layout for the Biochip electrodes intended for DEP cell manipulations.

  • Portable electrophysiologic monitoring based on the OMAP-family processor from a beginners' prospective

    We present here the experiences made on taking some first steps into the world of dual-core embedded processor technology. The processors we consider here consist of one DSP core and one general-purpose ARM core as are commonly used today by large mobile phone manufacturers. We describe some beginner's problems we encountered with Texas Instruments' OMAP platform and suggest some ways to avoid these common pitfalls for others. As an example application, we also introduce a new portable biosignal monitoring device that was the motivation for using a dual-core embedded processor in the first place.

  • Preventing obesity and eating disorders through behavioural modifications: The SPLENDID vision

    Recent intensive research in the fields of obesity and eating disorders has proved most traditional interventions inadequate: The obesity-targeting interventions have either failed or are strongly social context dependent, while the interventions for eating disorders have poor results and high levels of relapse. On the contrary, recent randomized control trials have illustrated that supervised training of patients to eat and move in a non-pathological way is effective in the prevention of both obesity and eating disorders. Applying the same kind of methodologies to the general population in real life conditions for prevention purposes comes as the logical next step. SPLENDID is a recently initiated EU-funded collaborative project that intends to develop a personalised guidance system for helping and training children and young adults to improve their eating and activity behaviour. By combining expertise in behavioural patterns with current advancements in intelligent systems and sensor technologies, SPLENDID is going to detect subjects at risk for developing obesity or eating disorders and offer them enhanced monitoring and guidance to prevent further disease progression. Both behavioural data collection and system evaluation are going to be performed via pilot studies supported by expert health professionals.



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