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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2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


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 16th International Symposium on Biomedical Imaging (ISBI)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.


2019 IEEE International Ultrasonics Symposium (IUS)

The conference covers all aspects of the technology associated with ultrasound generation and detection and their applications.


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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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Most published Xplore authors for Temporal lobe

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Xplore Articles related to Temporal lobe

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Learning invariant responses to the natural transformations of objects

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan), 1993

The primate visual system builds representations of objects which are invariant with respect to transforms such as translation, size, and eventually view, in a series of hierarchical cortical areas. To clarify how such a system might learn to recognise 'naturally' transformed objects, we are investigating a model of cortical visual processing which incorporates a, number of features of the primate ...


Phase space analysis of EEG in temporal lobe epilepsy

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1988

The electrocorticograms of human epileptic patients are analyzed by phase- space methods. The presence of an attractor is demonstrated as well as its low dimension during the preictal, ictal, and postictal period. The evaluation of the corresponding dimension of the phase space gives the minimum number of the necessary parameters. The integral correlation function provides insight into the dynamics of ...


A preliminary study on the effects of music on human brainwaves

2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2016

This article proposes a pilot study regarding the influence of sounds (music) on EEG activity involved in BCI implementations, based on EEG analysis. The Independent Component Analysis is applied to extract the most relevant ICA components for which the event related (de)synchronization in the alpha/beta bands is furtherly considered for tracking the effect of the musing on brain activity, using ...


Normalized Gabor Entropy Analysis of iEEG for Prediction of Epileptic Seizures

2016 32nd Southern Biomedical Engineering Conference (SBEC), 2016

A novel measure for analysis of multivariate signals in the time-frequency- space domain, the normalized Gabor entropy (NGE), is introduced and applied to multichannel intracranial EEG (iEEG) recordings hours prior to seizures onset in two patients with focal epilepsy. NGE profiles showed a statistically significant progressive decrease of NGE values at epileptogenic focus-related channels as time for seizures occurrence approached. ...


Multiphoton Fluorescence Imaging of NADH to Investigate Metabolic Changes in Human Epileptic Tissue in vitro

2007 Conference on Lasers and Electro-Optics (CLEO), 2007

NADH is an intrinsic fluorophore that provides cellular metabolic information. Abnormal neuronal-astrocytic metabolic coupling is hypothesized in temporal lobe epilepsy. We investigate metabolic pathologies in human and rodent epilepsy models using multiphoton microscopy of NADH.


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Educational Resources on Temporal lobe

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IEEE-USA E-Books

  • Learning invariant responses to the natural transformations of objects

    The primate visual system builds representations of objects which are invariant with respect to transforms such as translation, size, and eventually view, in a series of hierarchical cortical areas. To clarify how such a system might learn to recognise 'naturally' transformed objects, we are investigating a model of cortical visual processing which incorporates a, number of features of the primate visual system. The model has a series of layers with convergence from a limited region of the preceding layer, and mutual inhibition over a short range within a layer. The feedforward connections between layers provide the inputs to competitive networks, each utilising a modified Hebb-like learning rule which incorporates a temporal trace of the preceding neuronal activity. The trace learning rule is aimed at enabling the neurons to learn transform invariant responses via experience of the real world, with its inherent spatio-temporal constraints. We show that the model can learn to produce translation-invariant responses.

  • Phase space analysis of EEG in temporal lobe epilepsy

    The electrocorticograms of human epileptic patients are analyzed by phase- space methods. The presence of an attractor is demonstrated as well as its low dimension during the preictal, ictal, and postictal period. The evaluation of the corresponding dimension of the phase space gives the minimum number of the necessary parameters. The integral correlation function provides insight into the dynamics of the neural networks involved in the three different stages of the phenomenon. The temporal change of the largest Lyapunov exponent is followed throughout the seizure giving a measure of the unpredictability inside the attractor. All of the above measures can be used for better mathematical modeling of the underlying process.<<ETX>>

  • A preliminary study on the effects of music on human brainwaves

    This article proposes a pilot study regarding the influence of sounds (music) on EEG activity involved in BCI implementations, based on EEG analysis. The Independent Component Analysis is applied to extract the most relevant ICA components for which the event related (de)synchronization in the alpha/beta bands is furtherly considered for tracking the effect of the musing on brain activity, using on open access EEG dataset. The results are promising, allowing a clear desynchronization in the alpha/beta bands.

  • Normalized Gabor Entropy Analysis of iEEG for Prediction of Epileptic Seizures

    A novel measure for analysis of multivariate signals in the time-frequency- space domain, the normalized Gabor entropy (NGE), is introduced and applied to multichannel intracranial EEG (iEEG) recordings hours prior to seizures onset in two patients with focal epilepsy. NGE profiles showed a statistically significant progressive decrease of NGE values at epileptogenic focus-related channels as time for seizures occurrence approached. This result implies the progressive appearance of dominant Gabor atoms in the EEG tens of minutes prior to seizures, the detection and monitoring of which could further assist with improvement of the performance of seizure prediction algorithms.

  • Multiphoton Fluorescence Imaging of NADH to Investigate Metabolic Changes in Human Epileptic Tissue in vitro

    NADH is an intrinsic fluorophore that provides cellular metabolic information. Abnormal neuronal-astrocytic metabolic coupling is hypothesized in temporal lobe epilepsy. We investigate metabolic pathologies in human and rodent epilepsy models using multiphoton microscopy of NADH.

  • Brain Inspired Automatic Directory

    The fascinating question of the relation of information and coding theory to the memories stored in the brain is our research scope. We speculate there is a similar code used to represent different memories, rather than unique code for different memories. The uniform cortex structure supports our speculation. Recently we suggested holographic coding that can fit Pribram's holographic memory theory. Using the holographic coding metaphor, the memory should be retrieved by a reference beam as in a hologram. We explore the possibility that the brain learns its directory (possibly in the temporal lobe), during memory consolidation. This directory is a neural network that is used for sending signals to the cortex to recall memories. The network learns to distinguish between objects during saving, in order to signal the correct recall. Haar features (HF) are 0/1 matrices used for face recognition. We use HF to learn to differentiate between objects. Namely when objects are saved, our system learns what is the best set of HF to distinguish between them using a genetic algorithm. The sets of HF are tested for the best clustering set without knowing their semantics (unsupervised learning). Later semantics is learned by interaction with the environment. The best sets continue to the next generation. We chose unsupervised learning due to the idea that it is possible to distinguish objects without knowing their identity.

  • Interictal cardiorespiratory variability in temporal lobe and absence epilepsy in childhood

    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 can be affected individually, even without the occurrence of seizures. In this work, the interactions between these two individual physiological mechanisms are analysed during interictal activity in temporal lobe and absence epilepsy in childhood. These interactions are assessed by means of an entropy decomposition that allows to split the information carried by the heart rate, into two main components, one related to respiration and another related to different mechanisms. It is shown that in absence epilepsy the information shared by respiration and heart rate is significantly lower than for normal subjects.

  • Development of multi-DOF brain retract manipulator with safety method

    To extend applicable area of minimally invasive neurosurgery, multi-DOF brain retract manipulator is developed. By inserting this manipulator deeper into the brain as an conductor and then other micromanipulator afterwards, it will be possible to realize new minimally invasive neurosurgery. The brain retract manipulator system is controlled by new safety method with brain retraction pressure monitoring system, Tendon-driven unit which controls lock or free status of each joint of multi-joint spatula, Passive-hybrid control system that assure the system a suitable safety. In evaluation test with a hog, insertion of the multi-joint spatula as deep as the cerebral base was realized, and the possibility of securing the space between the temporal lobe and the cerebral base is verified.

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

    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 time point in the same brain region of a subject. In this work, epilepsy discharges were adopted as markers of short stimuli, and then we use EEG-fMRI method to investigate HRF in temporal lobe epilepsy with interictal regional slow wave. Five patients with idiopathic temporal lobe epilepsy were enrolled in this study, the peak delay and amplitude of the estimated HRF was compared with Gamma, Glover and the SPM canonical HRF, and the results show that the delay of the estimated HRF is different from either one of the three theoretical model, thus further study on both theoretical model and real data estimation is needed.

  • A problem for activation of a right temporal lobe

    A neuropsychological examination is essential in examining higher cortical function. We have manufactured a diagnosis support system for dementia based on the neuropsychological examination used in Wakayama Medical College and have documented the validity of the system by experiments for 200 subjects (from 20 to 74 years old). The system is considered to be available as a training system for individuals who need rehabilitation of slight higher cortical dysfunction, or prevention of depression and improvement of higher cortical function. Therefore, we have constructed training problems for trial for such a system. In this paper, we estimate the problems and show the validity of those problems through the investigation of computed topographic EEG.



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