Temporal lobe

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The temporal lobe is a region of the cerebral cortex that is located beneath the Sylvian fissure on both cerebral hemispheres of the mammalian brain. (Wikipedia.org)






Conferences related to Temporal lobe

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2018 14th IEEE International Conference on Signal Processing (ICSP)

ICSP2018 includes sessions on all aspects of theory, design and applications of signal processing. Prospective authors are invited to propose papers in any of the following areas, but not limited to: A. Digital Signal Processing (DSP)B. Spectrum Estimation & ModelingC. TF Spectrum Analysis & WaveletD. Higher Order Spectral AnalysisE. Adaptive Filtering &SPF. Array Signal ProcessingG. Hardware Implementation for Signal ProcessingH Speech and Audio CodingI. Speech Synthesis & RecognitionJ. Image Processing & UnderstandingK. PDE for Image ProcessingL.Video compression &StreamingM. Computer Vision & VRN. Multimedia & Human-computer InteractionO. Statistic Learning & Pattern RecognitionP. AI & Neural NetworksQ. Communication Signal processingR. SP for Internet and Wireless CommunicationsS. Biometrics & AuthentificationT. SP for Bio-medical & Cognitive ScienceU


2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)

Computational analysis and interpretation of images and video


2017 25th Signal Processing and Communications Applications Conference (SIU)

Signal Processing and Communication Applications (SIU) conference is the most prominent scientific meeting on signal processing in Turkey bringing together researchers working in signal processing and communication fields. Topics include but are not limited to the areas of research listed in the keywords.

  • 2016 24th Signal Processing and Communication Application Conference (SIU)

    Signal Processing Theory, Statistical Signal Processing, Nonlinear Signal Processing, Adaptive Signal Processing, Array and Multichannel Signal Processing, Signal Processing for Sensor Networks, Time-Frequency Analysis, Speech / Voice Processing and Recognition, Computer Vision, Pattern Recognition, Machine Learning for Signal Processing, Human-Machine Interaction, Brain-Computer Interaction, Signal-Image Acquisition and Generation, image Processing, video Processing, Image Printing and Presentation, Image / Video / Audio browsing and retrieval, Image / Video / Audio Watermarking, Multimedia Signal Processing, Biomedical Signal Processing and Image Processing, Bioinformatics, Biometric Signal-Image Processing and Recognition, Signal Processing for Security and Defense, Signal and Image Processing for Remote Sensing, Signal Processing Hardware, Signal Processing Education, Radar Signal Processing, Communication Theory, Communication Networks, Wireless Communications

  • 2015 23th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing Theory Statistical Signal Processing Nonlinear Signal Processing Adaptive Signal Processing Array and Multichannel Signal Processing Signal Processing for Sensor Networks Time-Frequency Analysis Speech / Voice Processing and Recognition Computer Vision Pattern Recognition Machine Learning for Signal Processing Human-Machine Interaction Brain-Computer Interaction Signal-Image Acquisition and Generation image Processing video Processing Image Printing and Presentation Image / Video / Audio browsing and retrieval Image / Video / Audio Watermarking Multimedia Signal Processing Biomedical Signal Processing and Image Processing Bioinformatics Biometric Signal-Image Processing and Recognition Signal Processing for Security and Defense Signal and Image Processing for Remote Sensing Signal Processing Hardware Signal Processing Education Radar Signal Processing Communication Theory Communication Networks Wireless Communications

  • 2014 22nd Signal Processing and Communications Applications Conference (SIU)

    SIU will be held in Trabzon, Turkey at the Karadeniz Technical University Convention and Exhibition Centre on April 23, 2014. SIU is the largest and most comprehensive technical conference focused on signal processing and its applications in Turkey. Last year there were 500 hundred participants. The conference will feature renowned speakers, tutorials, and thematic workshops. Topics include but are not limited to: Signal Procesing, Image Processing, Communication, Computer Vision, Machine Learning, Biomedical Signal Processing,

  • 2013 21st Signal Processing and Communications Applications Conference (SIU)

    Conference will discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. Conference will also include invited lectures, tutorials and special sessions.

  • 2012 20th Signal Processing and Communications Applications Conference (SIU)

    Conference will discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. Conference will also include invited lectures, tutorials and special sessions.

  • 2011 19th Signal Processing and Communications Applications Conference (SIU)

    Conference will bring together academia and industry professionals as well as students and researchers to present and discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. The Conference will also include invited lectures, tutorials and special sessions.

  • 2010 IEEE 18th Signal Processing and Communications Applications Conference (SIU)

    S1.Theory of Signal-Processing S2.Statistical Signal-Processing S3.Multimedia Signal-Processing S4.Biomedical Signal-Processing S5.Sensor Networks S6.Multirate Signal-Processing S7.Pattern Recognition S8.Computer Vision S9.Adaptive Filters S10.Image/Video/Speech Browsing, Retrieval S11.Speech/Audio Coding S12.Speech Processing S13.Human-Machine Interfaces S14.Surveillance Signal Processing S15.Bioinformatics S16.Self-Learning S17.Signal-Processing Education S18.Signal-Processing Systems S1

  • 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU)

    The scope of the conference is to cover recent topics in theory and applications of Signal Processing and Communications.

  • 2008 IEEE 16th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing, Image Processing, Speech Processing, Pattern Recognition, Human Computer Interaction, Communication, Video and Speech indexing, Computer Vision, Biomedical Signal Processing

  • 2007 IEEE 15th Signal Processing and Communications Applications (SIU)

  • 2006 IEEE 14th Signal Processing and Communications Applications (SIU)

  • 2005 IEEE 13th Signal Processing and Communications Applications (SIU)

  • 2004 IEEE 12th Signal Processing and Communications Applications (SIU)


2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17) in conjunction with International Biomedical Engineering Conference of KOSOMBE will be held at International Convention Center (ICC), Jeju Island, Korea from July 11 to 15, 2017. The overall theme of the conference is “Smarter Technology for Healthier World” and will cover diverse topics of cutting-edge research in biomedical engineering, healthcare technology R&D, translational clinical research, technology transfer and entrepreneurship, and biomedical engineering education. The conference program will feature high-profile keynote lectures, minisymposia, workshops, invited sessions, oral and poster sessions, sessions for students and young professions, sessions for clinicians and entrepreneurs, and exhibitions.


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


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Periodicals related to Temporal lobe

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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.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Information Technology in Biomedicine, IEEE Transactions on

Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.


Latin America Transactions, IEEE (Revista IEEE America Latina)

The IEEE Region 9 is releasing the IEEE Latin America Transactions to enable the publication of non-published and technically excellent papers from Latin American engineers, in Spanish or Portuguese languages. Engineers and researchers from Portugal and Spain (and others countries with the same language) are also very welcome to submit their proposals.


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Xplore Articles related to Temporal lobe

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Hemodynamic response function in temporal lobe epilepsy with interictal regional slow wave: An EEG-fMRI study

Kaiqing Xue; Cheng Luo; Zhiping Yao; Dezhong Yao 2010 International Conference of Medical Image Analysis and Clinical Application, 2010

The hemodynamic response function (HRF) describes the dynamic process of the blood oxygen level dependent (BOLD) signal evoked by a very short stimulus of unit intensity. Understanding HRF is a key issue for exploring the underlying dynamics of nervous system activation. Some researches suggested that the shape of HRF varied with different brain regions and different subjects, even at different ...


Regional rates of brain atrophy - can they be used as a reliable tool for early diagnosis of Alzheimer's disease?

D. Wang; S. Rose; G. Cowin; D. Spooner; D. Barnes; G. Galloway; D. M. Doddrell; J. B. Chalk; J. Semple Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2001

We present global and regional rates of brain atrophy measured on serial structural magnetic resonance (MR) images for a group of Alzheimer's patients and age-matched normal elderly control subjects. Specifically, three rates of brain atrophy: the rate of atrophy in the entire cerebral volume, the rate of lateral ventricular enlargement and the rate of atrophy in the temporal lobe region ...


Extraction of brain regions for image diagnosis of Alzheimer-type Dementia based on atrophy progress speeds

Momoyo Ito; Kazuhito Sato; Ikuro Namura; Minoru Fukumi IEEE Nuclear Science Symposuim & Medical Imaging Conference, 2010

We constructed an image diagnosis support system for Alzheimer-type Dementia that extracts temporal lobe regions and an intracranial region as regions of interest (ROI) from a T2-weighted MR frontal image and uses the cerebral atrophy rates at the ROI. In this paper, we specifically discuss extraction of brain regions and diagnosis support information based on atrophy speeds of the ROI. ...


Interictal cardiorespiratory variability in temporal lobe and absence epilepsy in childhood

Carolina Varon; Alessandro Montalto; Katrien Jansen; Lieven Lagae; Daniele Marinazzo; Luca Faes; Sabine Van Huffel 2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2014

It is well known that epilepsy has a profound effect on the autonomic nervous system, especially on the autonomic control of heart rate and respiration. This effect has been widely studied during seizure activity, but less attention has been given to interictal (i.e. seizure-free) activity. The studies that have been done on the latter, showed that heart rate and respiration ...


Fractal dimension characterizes seizure onset in epileptic patients

R. Esteller; G. Vachtsevanos; J. Echauz; T. Henry; P. Pennell; C. Epstein; R. Bakay; C. Bowen; B. Litt 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999

We present a quantitative method for identifying the onset of epileptic seizures in the intracranial electroencephalogram (IEEG), a process which is usually done by expert visual inspection, often with variable results. We performed a fractal dimension (FD) analysis on IEEG recordings obtained from implanted depth and strip electrodes in patients with refractory mesial temporal lobe epilepsy (MTLE) during evaluation for ...


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Educational Resources on Temporal lobe

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eLearning

Hemodynamic response function in temporal lobe epilepsy with interictal regional slow wave: An EEG-fMRI study

Kaiqing Xue; Cheng Luo; Zhiping Yao; Dezhong Yao 2010 International Conference of Medical Image Analysis and Clinical Application, 2010

The hemodynamic response function (HRF) describes the dynamic process of the blood oxygen level dependent (BOLD) signal evoked by a very short stimulus of unit intensity. Understanding HRF is a key issue for exploring the underlying dynamics of nervous system activation. Some researches suggested that the shape of HRF varied with different brain regions and different subjects, even at different ...


Regional rates of brain atrophy - can they be used as a reliable tool for early diagnosis of Alzheimer's disease?

D. Wang; S. Rose; G. Cowin; D. Spooner; D. Barnes; G. Galloway; D. M. Doddrell; J. B. Chalk; J. Semple Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2001

We present global and regional rates of brain atrophy measured on serial structural magnetic resonance (MR) images for a group of Alzheimer's patients and age-matched normal elderly control subjects. Specifically, three rates of brain atrophy: the rate of atrophy in the entire cerebral volume, the rate of lateral ventricular enlargement and the rate of atrophy in the temporal lobe region ...


Extraction of brain regions for image diagnosis of Alzheimer-type Dementia based on atrophy progress speeds

Momoyo Ito; Kazuhito Sato; Ikuro Namura; Minoru Fukumi IEEE Nuclear Science Symposuim & Medical Imaging Conference, 2010

We constructed an image diagnosis support system for Alzheimer-type Dementia that extracts temporal lobe regions and an intracranial region as regions of interest (ROI) from a T2-weighted MR frontal image and uses the cerebral atrophy rates at the ROI. In this paper, we specifically discuss extraction of brain regions and diagnosis support information based on atrophy speeds of the ROI. ...


Interictal cardiorespiratory variability in temporal lobe and absence epilepsy in childhood

Carolina Varon; Alessandro Montalto; Katrien Jansen; Lieven Lagae; Daniele Marinazzo; Luca Faes; Sabine Van Huffel 2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2014

It is well known that epilepsy has a profound effect on the autonomic nervous system, especially on the autonomic control of heart rate and respiration. This effect has been widely studied during seizure activity, but less attention has been given to interictal (i.e. seizure-free) activity. The studies that have been done on the latter, showed that heart rate and respiration ...


Fractal dimension characterizes seizure onset in epileptic patients

R. Esteller; G. Vachtsevanos; J. Echauz; T. Henry; P. Pennell; C. Epstein; R. Bakay; C. Bowen; B. Litt 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999

We present a quantitative method for identifying the onset of epileptic seizures in the intracranial electroencephalogram (IEEG), a process which is usually done by expert visual inspection, often with variable results. We performed a fractal dimension (FD) analysis on IEEG recordings obtained from implanted depth and strip electrodes in patients with refractory mesial temporal lobe epilepsy (MTLE) during evaluation for ...


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IEEE-USA E-Books

  • A Self-Organizing Model of the Antennal Lobes

    For most animals their olfactory system provides vital interface with the outside world. Odors, however, are typically unstable signals, fluctuating in time, space and in concentration. Moreover generalist odor detection systems have to be able to process many odors, most of which are of incidental importance. In this paper, we present a self-organizing model of the antennal lobe of the insect brain. The learning rule used enables the model to produce stable coding of relevant odors, where the coding is invariant against temporal and spatial fluctuations. The model includes developmental learning as well as on-line adaptive tuning to a changing environment. Thus the model describes a system that would enable individuals to survive in an uncertain world of odors.



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