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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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 25th IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2018, the 25th in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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


2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

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 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 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.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    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 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    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 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    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 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS)

The symposium is the premier conference for computational medicine, providing a mechanism for the exchange of ideas and technologies between academics and industrial scientists, and attracts a worldwide audience.


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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

[{u'author_order': 1, u'affiliation': u'Department of Biomedical Engineering, Center for Neural Engineering, University of Southern California, Los Angeles, CA 90089 USA', u'full_name': u'Dong Song'}, {u'author_order': 2, u'affiliation': u'Department of Physiology & Pharmacology, Wake Forest University, School of Medicine, Winston-Salem, NC 27157 USA', u'full_name': u'Robert E. Hampson'}, {u'author_order': 3, u'affiliation': u'Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089 USA', u'full_name': u'Brian S. Robinson'}, {u'author_order': 4, u'affiliation': u'Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089 USA', u'full_name': u'Vasilis Z. Marmarelis'}, {u'author_order': 5, u'affiliation': u'Department of Physiology & Pharmacology, Wake Forest University, School of Medicine, Winston-Salem, NC 27157 USA', u'full_name': u'Sam A. Deadwyler'}, {u'author_order': 6, u'affiliation': u'Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089 USA', u'full_name': u'Theodore W. Berger'}] 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

[{u'author_order': 1, u'affiliation': u'Harrington Department of Bioengineering, Fulton School of Engineering, ASU, Tempe AZ, USA', u'full_name': u'David Akkurt'}, {u'author_order': 2, u'affiliation': u'Harrington Department of Bioengineering, Fulton School of Engineering, ASU, Tempe AZ, USA', u'full_name': u'Yasemin M Akay'}, {u'author_order': 3, u'affiliation': u'Harrington Department of Bioengineering, Fulton School of Engineering, ASU, Tempe AZ, USA', u'full_name': u'Metin Akay'}] 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

[{u'author_order': 1, u'affiliation': u'Trinity College, Nueroscience Program, Hartford, CT 06106-3100', u'full_name': u'N.X. Phouyaphone'}, {u'author_order': 2, u'full_name': u'J.L. Koranda'}, {u'author_order': 3, u'full_name': u'J.H. Blaise'}, {u'author_order': 4, u'full_name': u'S.A. Masino'}, {u'author_order': 5, u'full_name': u'J.D. Bronzino'}] 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

[{u'author_order': 1, u'affiliation': u'New Jersey Institute of Technology, Newark, NJ 07102', u'full_name': u'Kohitij Kar'}, {u'author_order': 2, u'affiliation': u'Rutgers University - Newark, Newark, NJ 07102', u'full_name': u'Ahmed Moustafa'}, {u'author_order': 3, u'affiliation': u'Rutgers University - Newark, Newark, NJ 07102', u'full_name': u'Catherine Myers'}, {u'author_order': 4, u'affiliation': u'Rutgers University - Newark, Newark, NJ 07102', u'full_name': u'Mark Gluck'}] 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

[{u'author_order': 1, u'affiliation': u'Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA', u'full_name': u'S. Sunderam'}, {u'author_order': 2, u'affiliation': u'Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA', u'full_name': u'N. Chernyy'}, {u'author_order': 3, u'affiliation': u'Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA', u'full_name': u'J. Mason'}, {u'author_order': 4, u'affiliation': u'Department of Electrical Engineering, George Mason University, Fairfax, VA 22201', u'full_name': u'N. Peixoto'}, {u'author_order': 5, u'affiliation': u"Department of Neurology, Children's National Medical Center and George Washington University School of Medicine", u'full_name': u'S.L. Weinstein'}, {u'author_order': 6, u'affiliation': u'Department of Neurosurgery and Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA', u'full_name': u'S.J. Schiff'}, {u'author_order': 7, u'affiliation': u'Member, IEEE, Department of Engineering Science and Mechanics, Department of Neurosurgery, The Pennsylvania State University, University Park, PA. phone: 814-865-4523; fax: 814-863-7967; e-mail: bjg18@psu.edu', u'full_name': u'B.J. Gluckman'}] 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

  • Search Processes and Hippocampus

    Deliberation entails the sequential, serial search through possible options. This means that deliberation requires a mechanism to represent the structure of the world, from which predictions can be generated concerning these options and the expectations of the consequences of taking those options. Deliberation requires a mechanism to move mentally through those predictions as well as a mechanism to evaluate and compare those predictions. Neural signals for each of these factors have been found in the rat.

  • Animat Navigation Using a Cognitive Graph

    A model of the hippocampus as a “cognitive graph” is proposed. It essentially considers the hippocampus as an heteroassociative network that learns temporal sequences of visited places and stores a topological representation of the environment. Using place cells, head-direction cells, and “goal cells”, we propose a biologically plausible way of exploiting such a spatial representation for navigation, which does not require complicated graph search algorithms. Simulations show that the resulting animat is able to navigate in continuous environments that contain obstacles. Furthermore, we make experimental predictions on simultaneous recordings of multiple cells in the rat happocampus.

  • Acknowledgments

    The Salk Institute for Biological Studies, where I work, is a special place. From the outside, it looks like a concrete fortress, but as you enter the central courtyard, a broad expanse of travertine stretches out to the Pacific, with towers rising along the sides anchoring the otherworldly space (figure 19.1).1My lab is in the South Building, located off the courtyard (left side of photo). You are greeted on the left with a wall-sized electron microscopic photo of the hippocampus, which looks like a cross-section of a plate of spaghetti; the entryway opens onto the tearoom, the heart of the Computational Neurobiology Laboratory.

  • Uncertainty, phase and oscillatory hippocampal recall

    Many neural areas, notably, the hippocampus, show structured, dynamical, population behavior such as coordinated oscillations. It has long been observed that such oscillations provide a substrate for representing analog information in the firing phases of neurons relative to the underlying population rhythm. However, it has become increasingly clear that it is essential for neural populations to represent uncertainty about the information they capture, and the substantial recent work on neural codes for uncertainty has omitted any analysis of oscillatory systems. Here, we observe that, since neurons in an oscillatory network need not only fire once in each cycle (or even at all), uncertainty about the analog quantities each neuron represents by its firing phase might naturally be reported through the degree of concentration of the spikes that it fires. We apply this theory to memory in a model of oscillatory associative recall in hippocampal area CA3. Although it is not well treated in the literature, representing and manipulating uncertainty is fundamental to competent memory; our theory enables us to view CA3 as an effective uncertainty-aware, retrieval system.

  • Motivated Animat navigation: a visually guided approach

    In this paper, we describe how a mobile robot only controlled by visual information can retrieve particular goal locations in an open environment according to the level of associated motivations and to its current location. The interest of our control architecture relies in its simplicity and its robustness. Our robot does not need a precise map nor to learn all the possible positions in the environment to be able to navigate correctly. The neural control architecture used is inspired from neurobiological studies about the brain visual processes and the integration of those information for navigation behaviors. We emphasize the interest to go back and forth between robotics and biology. At last we show neurobiological modelization of the hippocampus has helped us to imagine a solution for scaling our architecture to more complex problems.

  • Brain Overview

    This chapter contains sections titled: 2.1 Spinal Cord and Brainstem, 2.2 The Forebrain: An Overview, 2.3 Cortex: Long-Term Memory, 2.4 Basal Ganglia: The Program Sequencer, 2.5 Thalamus: Input and Output, 2.6 Hippocampus: Program Modifications, 2.7 Amygdala: Rating What' s Important, 2.8 How the Brain Programs Itself, 2.9 Summary

  • Learning via Synaptic Tuning

    This chapter contains sections titled: 10.1 A Good Hebb start, 10.2 Supervised Learning in Artificial Neural Networks, 10.3 Hebbian Learning Models, 10.4 Unsupervised ANNs for AI, 10.5 Spikes and Plasticity, 10.6 Place Cells and Prediction in the Hippocampus, 10.7 Neural Support for Cognitive Incrementalism, 10.8 Hebb Still Rules

  • Maze Navigation Using Optical Flow

    Some recent work with autonomous robots has focused on using optical flow for “direct” control of speed and rotation in obstacle avoidance and other simple behaviors. This work has been inspired by work with insects showing similar mechanisms. To extend these behaviors, three methods of maze navigation are investigated in a simulated robot modeled after a real one. A motor-based method places biases iii the obstacle avoidance control law used previously. A perception-based method uses optical flow to detect possibilities for action (e.g., to turn left or right). Both of these require that the agent have a list of biases in order to navigate. The third method, called the Salience Centroid Method, is based on a theory of the role of the hippocampus in rat navigation. This method trades off the memory of the first two for more advanced perceptual processing and allows the most flexible behavior.

  • Search, Goals, and the Brain

    The process of cognitive search invokes a purposeful and iterative process by which an organism considers information of a potentially diverse nature and selects a particular option that best matches the appropriate criteria. This chapter focuses on the neurobiological basis of such a goal-directed search by parsing the process into its main components, suggested here as initiation, identification of search space, deliberation, action selection, and evaluation and search termination. Unexpected uncertainty is suggested as a key trigger for the onset of the search process. Current data posit that this is represented in the anterior cingulate, parietal, and inferior frontal cortices, suggesting these areas could be particularly important in search initiation. A change in motivational state, likely signaled by a wide range of brain regions including the amygdala, can also play a role at this stage. The neural structures which represent the set of to-be-searched options may vary depending on the search domain (e.g., spatial, visual, linguistic). During deliberation, predictions regarding the consequences of selecting these options are generated and compared, implicating areas of frontal cortex as well as the hippocampus and striatum, which are known to play a role in different aspects of outcome evaluation. Action planning and selection likely involve an interplay between the prefrontal cortex and basal ganglia, whereas search termination could involve the specific neural networks implicated in response inhibition. The influence exerted over the search process by the major ascending neuromodulators (dopamine, norepinephrine/noradrenaline, serotonin, and acetylcholine) is also considered, and a particularly critical role suggested for dopamine and noradrenaline, given their ability to influence cognitive flexibility and arousal. Finally, pathologies of search processes are discussed, both with respect to brain damage and psychiatric illness.



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