Hippocampus

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The hippocampus is a major component of the brains of humans and other mammals. (Wikipedia.org)






Conferences related to Hippocampus

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2020 IEEE International Magnetic Conference (INTERMAG)

INTERMAG is the premier conference on all aspects of applied magnetism and provides a range of oral and poster presentations, invited talks and symposia, a tutorial session, and exhibits reviewing the latest developments in magnetism.


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 Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


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Periodicals related to Hippocampus

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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 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.


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


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.


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Most published Xplore authors for Hippocampus

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Xplore Articles related to Hippocampus

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Decoding memory features from hippocampal spiking activities using sparse classification models

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016

To understand how memory information is encoded in the hippocampus, we build classification models to decode memory features from hippocampal CA3 and CA1 spatio-temporal patterns of spikes recorded from epilepsy patients performing a memory-dependent delayed match-to-sample task. The classification model consists of a set of B-spline basis functions for extracting memory features from the spike patterns, and a sparse logistic ...


Investigating the effects of nicotine on hippocampal oscillations in rats

2009 4th International IEEE/EMBS Conference on Neural Engineering, 2009

It has been widely proposed that, higher cognitive functions such as learning, memory, attention and exploratory behavior could be represented in the CA1 region of the hippocampal area of the brain by a distributed neuronal network synchronization on an oscillatory mode as the gamma-band or 40 Hz (30-80 Hz) oscillations. In this paper, we have studied the effect of nicotine ...


Effect of Adenosine A<inf>1</inf>R Receptor Deficiency on Induction of Long-term Depression in Freely Behaving Mice

Proceedings of the IEEE 32nd Annual Northeast Bioengineering Conference, 2006

This paper addresses the role of adenosine A1receptors (A1R) in long-term depression (LTD), a phenomen on described as a decrease in synaptic efficacy, within the hippocampus. When adenosine, an endogenous purine, binds to adenosine receptors the results are usually inhibitory. This inhibition is most prominent when activation occurs at the A1R sites within glutamatergic pathways found in the hippocampus. Consequently, ...


Using an animal learning model of the hippocampus to simulate human fMRI data

Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference (NEBEC), 2010

Recent human fMRI studies have shown that the hippocampal region is essential for probabilistic category learning, memory formation-retrieval and context based performance. We present an artificial neural network model that can qualitatively simulate the BOLD signal for these tasks. The model offers ideas on the functional architecture and the relationship between the hippocampus and other brain structures. We also show ...


Seizure Modulation with Applied Electric Fields in Chronically Implanted Animals

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Low Frequency (les100Hz) applied electric fields have been shown to modulate neuronal activity both In Vitro and in acute whole animal studies. We have been working to apply this technology for seizure control in chronically implanted animals. We have developed electronics for simultaneously recording neural activity while stimulating with low frequency fields. We have observed transient entrainment of spike and ...


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Educational Resources on Hippocampus

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IEEE-USA E-Books

  • Decoding memory features from hippocampal spiking activities using sparse classification models

    To understand how memory information is encoded in the hippocampus, we build classification models to decode memory features from hippocampal CA3 and CA1 spatio-temporal patterns of spikes recorded from epilepsy patients performing a memory-dependent delayed match-to-sample task. The classification model consists of a set of B-spline basis functions for extracting memory features from the spike patterns, and a sparse logistic regression classifier for generating binary categorical output of memory features. Results show that classification models can extract significant amount of memory information with respects to types of memory tasks and categories of sample images used in the task, despite the high level of variability in prediction accuracy due to the small sample size. These results support the hypothesis that memories are encoded in the hippocampal activities and have important implication to the development of hippocampal memory prostheses.

  • Investigating the effects of nicotine on hippocampal oscillations in rats

    It has been widely proposed that, higher cognitive functions such as learning, memory, attention and exploratory behavior could be represented in the CA1 region of the hippocampal area of the brain by a distributed neuronal network synchronization on an oscillatory mode as the gamma-band or 40 Hz (30-80 Hz) oscillations. In this paper, we have studied the effect of nicotine on the dynamics of the neurons and the complexity of the activity of the gamma oscillations in the CA1 cell line on the hippocampal slices using the approximate entropy method. Our results suggest that nicotine exposure significantly enhances the activity of the hippocampal neurons by reducing the complexity of gamma oscillations.

  • Effect of Adenosine A<inf>1</inf>R Receptor Deficiency on Induction of Long-term Depression in Freely Behaving Mice

    This paper addresses the role of adenosine A1receptors (A1R) in long-term depression (LTD), a phenomen on described as a decrease in synaptic efficacy, within the hippocampus. When adenosine, an endogenous purine, binds to adenosine receptors the results are usually inhibitory. This inhibition is most prominent when activation occurs at the A1R sites within glutamatergic pathways found in the hippocampus. Consequently, glutamate activates N-methyl-D-asparatate (NMDA) receptor which is theorized to lead to LTD. Thus, the elimination of the inhibitory factor, A1R receptors, would ultimately lead to greater enhancement of LTD. In order to investigate the adenosine's role in learning and memory, LTD will be induced in freely behaving wild type (WT) and knockout mice(KO).

  • Using an animal learning model of the hippocampus to simulate human fMRI data

    Recent human fMRI studies have shown that the hippocampal region is essential for probabilistic category learning, memory formation-retrieval and context based performance. We present an artificial neural network model that can qualitatively simulate the BOLD signal for these tasks. The model offers ideas on the functional architecture and the relationship between the hippocampus and other brain structures. We also show that symptoms of neurobiological diseases like Parkinson's disease (PD) and Schizophrenia can be simulated and studied using the model.

  • Seizure Modulation with Applied Electric Fields in Chronically Implanted Animals

    Low Frequency (les100Hz) applied electric fields have been shown to modulate neuronal activity both In Vitro and in acute whole animal studies. We have been working to apply this technology for seizure control in chronically implanted animals. We have developed electronics for simultaneously recording neural activity while stimulating with low frequency fields. We have observed transient entrainment of spike and wave activity during spontaneous seizures with open loop sinusoidal stimulation with frequencies between 9-15 Hz. This is the first demonstration of low frequency field modulation of neural activity in chronically implanted mammalian brain

  • The Performance Improvement of License Plate Recognition System Using Composite Color and Artificial Hippocampus Algorithm

    The goal of this paper is to improve the performance of a system which recognizes the license plate. In this paper, we suggest the system using composite color and an artificial hippocampus algorithm for license plate recognition. Before extraction with image, the system first operates histogram equalization in pre-processing for the equal distribution of intensity value. After the pre-processing, the system extracts the license plate region using color models which are RGB, HSI and YIQ. The extracted region again is extracted to a letter/number region using horizontal and vertical histograms. Therefore, the system recognizes the letter/number of license plate using artificial hippocampus algorithm. Experimental results with input images are reported to demonstrate the accuracy and robustness of the proposed algorithm.

  • A Simulation Study on Neuronal Ensemble Entropy Coding under Stimulus Condition

    The aim of this study is to investigate a new method of coding neural ensemble activity via information theory and show the validity of this method in coding different stimuli (a pulse current and Gaussian white noise). Experimental data used in this paper is a simulation spatio-temporal spike of 120 neurons in hippocampus CA3 computed from small-world neural network model. We quantify neural ensemble temporal patterns via methods of informatics: estimate entropy values of neural population on temporal resolution (¿=1 ms) and word length (L=8) in a selected window (100ms) with a moving step (size of 1/4 window), and calculate the amount of mutual information between pre and post different stimuli. Then "ensemble threshold" is applied to obtain neuronal ensemble. The results indicate that difference of spike trains between pre and post stimulus is statistically significant (p&lt;0.01). Besides, neuronal ensembles of neural firing to the pulse current and Gaussian white noise are also different. Our results demonstrate that external stimuli are encoded via neural ensemble activity and the validity of the ensemble entropy coding method in coding different stimuli has been proved.

  • Brain-implantable biomimetic electronics as neural prosthetics

    Described in this paper is an interdisciplinary effort that will enable the functions of specific brain damaged regions to be replaced by "neurocomputational" microchips that incorporate experimentally-based mathematical models of the nonlinear dynamic properties of biological neurons. To allow the "neurocomputational" microchips to communicate with existing brain tissue, another microcircuitry element has been developed silicon-based multi-electrode arrays that are "neuromorphic", i.e., designed to conform to the region-specific cytoarchitecture of the brain. When the "neurocomputational" and "neuromorphic" components are fully integrated, the envisioned prosthetic will receive electrical impulses from targeted subregions of the brain, process the information using the hardware model of that brain region, and communicate back to the functioning brain.

  • 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.

  • Homosynaptic long-term depression of the lateral perforant pathway/dentate gyrus synapse

    The present study was undertaken to quantify the frequency-dependent responses of dentate granule cell population recorded from anesthetized adult rats (90 days of age) at stimulus intensities ranging from 1, 3, 5, 7 and 11 Hz.



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