Neuroscience

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Neuroscience is the scientific study of the nervous system. (Wikipedia.org)






Conferences related to Neuroscience

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2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


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


2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

This conference is the annual premier meeting on the use of instrumentation in the Nuclear and Medical fields. The meeting has a very long history of providing an exciting venue for scientists to present their latest advances, exchange ideas, renew existing collaboration and form new ones. The NSS portion of the conference is an ideal forum for scientists and engineers in the field of Nuclear Science, radiation instrumentation, software engineering and data acquisition. The MIC is one of the most informative venues on the state-of-the art use of physics, engineering, and mathematics in Nuclear Medicine and related imaging modalities, such as CT and increasingly so MRI, through the development of hybrid devices


2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

robotics, intelligent systems, automation, mechatronics, micro/nano technologies, AI,


2019 International Conference on Robotics and Automation (ICRA)

Flagship conference of the robotics and automation society, a premiere international venue for international robotics researchers


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Periodicals related to Neuroscience

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Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


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Xplore Articles related to Neuroscience

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CB: Exploring neuroscience with a humanoid research platform

[{u'author_order': 1, u'affiliation': u'ATR Computational Neuroscience Laboratories, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37276253300', u'full_name': u'Gordon Cheng', u'id': 37276253300}, {u'author_order': 2, u'affiliation': u'ATR Computational Neuroscience Laboratories, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37278958900', u'full_name': u'Sang-Ho Hyon', u'id': 37278958900}, {u'author_order': 3, u'affiliation': u'ATR Computational Neuroscience Laboratories, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37062084000', u'full_name': u'Ales Ude', u'id': 37062084000}, {u'author_order': 4, u'affiliation': u'ATR Computational Neuroscience Laboratories, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37282128500', u'full_name': u'Jun Morimoto', u'id': 37282128500}, {u'author_order': 5, u'affiliation': u'ATR Computational Neuroscience Laboratories, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37447290300', u'full_name': u'Joshua G. Hale', u'id': 37447290300}, {u'author_order': 6, u'affiliation': u'ATR Computational Neuroscience Laboratories, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37446877100', u'full_name': u'Joseph Hart', u'id': 37446877100}, {u'author_order': 7, u'affiliation': u'ATR Computational Neuroscience Laboratories, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37282144200', u'full_name': u'Jun Nakanishi', u'id': 37282144200}, {u'author_order': 8, u'affiliation': u'ATR Computational Neuroscience Laboratories, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37330639800', u'full_name': u'Darrin Bentivegna', u'id': 37330639800}, {u'author_order': 9, u'affiliation': u'ATR Computational Neuroscience Laboratories, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37285071200', u'full_name': u'Jessica Hodgins', u'id': 37285071200}, {u'author_order': 10, u'affiliation': u'ATR Computational Neuroscience Laboratories, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37277593800', u'full_name': u'Christopher Atkeson', u'id': 37277593800}, {u'author_order': 11, u'affiliation': u'ATR Computational Neuroscience Laboratories, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37542865600', u'full_name': u'Michael Mistry', u'id': 37542865600}, {u'author_order': 12, u'affiliation': u'ATR Computational Neuroscience Laboratories, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37282144700', u'full_name': u'Stefan Schaal', u'id': 37282144700}, {u'author_order': 13, u'affiliation': u'ATR Computational Neuroscience Laboratories, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37283176700', u'full_name': u'Mitsuo Kawato', u'id': 37283176700}] 2008 IEEE International Conference on Robotics and Automation, 2008

In this video presentation we introduce a 50 degrees of freedom humanoid robot, CB - <i>Computational</i> <i>Brain</i> [1]. CB is a humanoid robot created for exploring the underlying processing of the human brain while dealing with the real world. We place our investigations within real world contexts, as humans do. In so doing, we focus on utilising a system that ...


Using interactive virtual characters in social neuroscience

[{u'author_order': 1, u'affiliation': u'Institute of Cognitive Neuroscience, University College London', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085682787', u'full_name': u'Joanna Hale', u'id': 37085682787}, {u'author_order': 2, u'affiliation': u'Institute of Cognitive Neuroscience, University College London', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085644613', u'full_name': u'Xueni Pan', u'id': 37085644613}, {u'author_order': 3, u'affiliation': u'Institute of Cognitive Neuroscience, University College London', u'full_name': u'Antonia F. de C. Hamilton'}] 2015 IEEE Virtual Reality (VR), 2015

In recent years, the use of Virtual Characters in experimental studies has opened new research avenues in social neuroscience. In this paper, we present the design, implementation, and preliminary results of two case studies exploring different types of social cognition using interactive Virtual Characters animated with motion captured data.


CB: A Humanoid Research Platform for Exploring NeuroScience

[{u'author_order': 1, u'affiliation': u'Department of Humanoid Robotics and Computational Neuroscience, ATR Computational Neuroscience Laboratories, 4-1-8 Honcho, Kawaguchi, Saitama, Japan; JST-ICORP Computational Brain Project, 4-1-8 Honcho, Kawaguchi, Saitama, Japan. Email: gordon@atr.jp', u'authorUrl': u'https://ieeexplore.ieee.org/author/37276253300', u'full_name': u'Gordon Cheng', u'id': 37276253300}, {u'author_order': 2, u'affiliation': u'Department of Humanoid Robotics and Computational Neuroscience, ATR Computational Neuroscience Laboratories, 4-1-8 Honcho, Kawaguchi, Saitama, Japan; JST-ICORP Computational Brain Project, 4-1-8 Honcho, Kawaguchi, Saitama, Japan. Email: sangho@atr.jp', u'authorUrl': u'https://ieeexplore.ieee.org/author/37278958900', u'full_name': u'Sang-ho Hyon', u'id': 37278958900}, {u'author_order': 3, u'affiliation': u'Department of Humanoid Robotics and Computational Neuroscience, ATR Computational Neuroscience Laboratories, 4-1-8 Honcho, Kawaguchi, Saitama, Japan; JST-ICORP Computational Brain Project, 4-1-8 Honcho, Kawaguchi, Saitama, Japan. Email: xmorimo@atr.jp', u'authorUrl': u'https://ieeexplore.ieee.org/author/37282128500', u'full_name': u'Jun Morimoto', u'id': 37282128500}, {u'author_order': 4, u'affiliation': u'Department of Humanoid Robotics and Computational Neuroscience, ATR Computational Neuroscience Laboratories, 4-1-8 Honcho, Kawaguchi, Saitama, Japan. Email: aude@atr.jp', u'authorUrl': u'https://ieeexplore.ieee.org/author/37295410700', u'full_name': u'Ales Ude', u'id': 37295410700}, {u'author_order': 5, u'affiliation': u'SARCOS Research Corporation, 360 Wakara Way, Salt Lake City, Utah, 84108, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37295419700', u'full_name': u'Glenn Colvin', u'id': 37295419700}, {u'author_order': 6, u'affiliation': u'SARCOS Research Corporation, 360 Wakara Way, Salt Lake City, Utah, 84108, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37295418700', u'full_name': u'Wayco Scroggin', u'id': 37295418700}, {u'author_order': 7, u'affiliation': u'SARCOS Research Corporation, 360 Wakara Way, Salt Lake City, Utah, 84108, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37295418000', u'full_name': u'Stephen C. Jacobsen', u'id': 37295418000}] 2006 6th IEEE-RAS International Conference on Humanoid Robots, 2006

This paper presents a 50 degrees of freedom humanoid robot, CB -Computational Brain. CB is a humanoid robot created for exploring the underlying processing of the human brain while dealing with the real world. We place our investigations within real world contexts, as humans do. In so doing, we focus on utilising a system that is closer to humans - ...


How computational neuroscience could help improving face recognition systems?

[{u'author_order': 1, u'affiliation': u'Department of Engineering, University of Isfahan Isfahan, Iran', u'authorUrl': u'https://ieeexplore.ieee.org/author/38469383600', u'full_name': u'Saeed Karimimehr', u'id': 38469383600}, {u'author_order': 2, u'affiliation': u'Department of Engineering, University of Isfahan Isfahan, Iran', u'authorUrl': u'https://ieeexplore.ieee.org/author/37565065700', u'full_name': u'Mohammad Reza Yazdchi', u'id': 37565065700}] 2014 4th International Conference on Computer and Knowledge Engineering (ICCKE), 2014

Computational neuroscience is a growing discipline in science, which tries to understand the operations of human brain and inspire from it as a new computational paradigm. Face recognition is an important question both in pattern recognition and neuroscience. In the last few years, neuroscientists found many facts about object recognition in primate's brain. Here, we propose a cortex inspired face ...


A survey of recent developments in management cognitive neuroscience and machine learning in educational environment

[{u'author_order': 1, u'affiliation': u'Departamento de Inform\xe1tica, Instituto Federal de Minas Gerais, Sabar\xe1, Brasil', u'full_name': u'Patr\xedcia S. M. Lopes'}, {u'author_order': 2, u'affiliation': u'Departamento de Inform\xe1tica, Instituto Federal de Minas Gerais, Sabar\xe1, Brasil', u'full_name': u'Carlos A. Silva'}, {u'author_order': 3, u'affiliation': u'Departamento de Inform\xe1tica, Instituto Federal de Minas Gerais, Sabar\xe1, Brasil', u'full_name': u'L. Valtensir'}, {u'author_order': 4, u'affiliation': u'Departamento de Inform\xe1tica, Instituto Federal de Minas Gerais, Sabar\xe1, Brasil', u'full_name': u'Cristiane N. Targa'}, {u'author_order': 5, u'affiliation': u'Departamento de Inform\xe1tica, Instituto Federal de Minas Gerais, Sabar\xe1, Brasil', u'full_name': u'Daniel. B. F. Conrado'}] 2018 13th Iberian Conference on Information Systems and Technologies (CISTI), 2018

The field of cognitive neuroscience concerns the intelligence, feelings and the ability to make decisions. Considering these subdivision, this work presents recents studies of brain mapping and the use of machine learning in educational environment. The state-of-the-art of cognitive neuroscience and machine learning are presented in the context, in order to reinforce and rethinking the interconnection of technology with educational ...


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Educational Resources on Neuroscience

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eLearning

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IEEE-USA E-Books

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  • Evolutionary Robotics and Neuroscience

    This chapter contains sections titled: 2.1 Introduction, 2.2 Relationships between Evolutionary Robotics and Neuroscience, 2.3 Neuroscience-Inspired ER Case Studies, 2.4 Discussion and Prospects, References

  • Attention before and during the Decade of the Brain

    This chapter contains sections titled: Enduring Issues, Human Performance, Cognition, Cognitive Neuroscience, The Coming Decade, Note, References

  • Literature, Neuroscience, and Digital Humanities

    This chapter contains sections titled: Digital Humanities: A Radical Interdisciplinarity, Digital Brain Images and Disciplinary Reciprocity, Literary Attention: An fMRI Study of Reading Jane Austen, Digital Tools for Literary Neuroscience, Notes

  • Brain-Machine Interface Engineering

    Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an alternate communication channel linking directly the nervous system with man-made devices. This book reveals the essential engineering principles and signal processing tools for deriving control commands from bioelectric signals in large ensembles of neurons. The topics featured include analysis techniques for determining neural representation, modeling in motor systems, computing with neural spikes, and hardware implementation of neural interfaces. Beginning with an exploration of the historical developments that have led to the decoding of information from neural interfaces, this book compares the theory and performance of new neural engineering approaches for BMIs. Contents: Introduction to Neural Interfaces / Foundations of Neuronal Representations / Input-Outpur BMI Models / Regularization Techniques for BMI Models / Neural Decoding Using Generative BMI Models / Adaptive Algorithms for Point Processes / BMI Systems

  • Learning and Memory

    This chapter contains sections titled: Introduction

  • Motor Control and Action

    This chapter contains sections titled: Introduction

  • Visual Information Processing

    This chapter contains sections titled: Introduction



Standards related to Neuroscience

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