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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2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)

IECBES is a series of bi-annual conference since 2010. The conference will provide excellent platform for knowledge exchange between researchers, scientists, academicians and engineers working in the areas of biomedical engineering. It is open for local and international participants.

  • 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)

    IECBES is the flagship conference of EMB Malaysia Chapter. Its scope includes new findings in research areas of Biomedical Engineering with keywords indicated above.

  • 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES)

    Biomedical Signal and Image Processing:Cardiovascular, Respiratory, Neural, Biomedical Instrumentation & Devices: Sensor, Micro / Nano / Wearable Technology,Biomaterial, Biomimetics, Rehabilitation andTherapeutic Health System, Biomedical Modeling and Simulation, Bioinformatics, Biomechanics and medical robotics, Ergonomics & Human Factors,Healthcare Information System, Telemedicine, eHealth, myHealth.

  • 2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES 2012)

    Biomedical Signal and Image Processing:Cardiovascular, Respiratory, Neural, Biomedical Instrumentation & Devices: Sensor, Micro / Nano / Wearable Technology,Biomaterial, Biomimetics, Rehabilitation and Therapeutic Health System, Biomedical Modeling and Simulation, Bioinformatics, Biomechanics and medical robotics, Ergonomics & Human Factors,Healthcare Information System, Telemedicine, eHealth, myHealth.

  • 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)

    Biomedical Signal and Image Processing: Cardiovascular, Respiratory, Neural Biomedical Instrumentation & Devices: Sensor, micro/ nano/wearable technology, biomaterial, biomimetic Rehabilitation and Therapeutic Health System Biomedical Modelling and Simulation Bioinformatics Biomechanics and medical robotics Healthcare Information System: Telemedicine, eHealth, mHealth


2017 17th International Conference on Control, Automation and Systems (ICCAS)

Control Theory and Applications,Control Devices and Instruments,Industrial Applications of Control,Sensors and Signal Processing,Artificial Intelligent Systems,Autonomous Vehicle Systems, Navigation, Guidance and Control,Biomedical Instruments and Systems,Information and Networking,Multimedia Systems,Process Control Systems,Civil and Urban Control Systems Human Robot Interaction,Robot Mechanism and Control,Robot Vision,Exoskeletal Robot,Intelligent Robot and Service Robot,Robotic Applications


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 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)

Covering a broad range of fields from measurement and control to system analysis and design, from theory to application, and from software to hardware.


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 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.


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.


Medical Imaging, IEEE Transactions on

Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.


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Xplore Articles related to Hippocampus

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Comparison of volumes of subcortical regions in schizophrenia patients and healthy controls using MRI

Afsoon Khodaei; Gholam-Ali Hossein-Zadeh; Esmaeil Shahsavand Ananloo 2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA), 2015

As a crucial mental disorder, schizophrenia affects one percent of the world population. Diagnosis of this disorder is now based mainly on the clinical symptoms. As the first study in Iran, we investigate the magnetic resonance imaging (MRI) images of patients with schizophrenia to investigate the imaging biomarkers for helping the diagnosis of this disorder. In this study, we have ...


Longitudinal progression of grey matter atrophy morphological characteristics in MCI patients

Guihong Yuan; Zhizheng Zhuo; Haiyun Li 2013 IEEE International Conference on Medical Imaging Physics and Engineering, 2013

Objective To investigate the differences of cerebral grey matter atrophy over time between MCI (Mild Cognitive Impairment) and NC (Normal Control), and further investigate the differences of cerebral grey matter atrophy between SMCI (Stable MCI) and PMCI (Progressive MCI). Methods Based on improved VBM- DARTEL method, NC and MCI longitudinal datasets of 3 years were processed. Firstly, the atrophy patterns ...


Real time algorithms for sharp wave ripple detection

Ankit Sethi; Caleb Kemere 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Neural activity during sharp wave ripples (SWR), short bursts of co-ordinated oscillatory activity in the CA1 region of the rodent hippocampus, is implicated in a variety of memory functions from consolidation to recall. Detection of these events in an algorithmic framework, has thus far relied on simple thresholding techniques with heuristically derived parameters. This study is an investigation into testing ...


Change Point Estimation of the Hippocampal Volumes in Alzheimer's Disease

Xiaoying Tang; Marilyn Albert; Michael I. Miller; Laurent Younes 2016 13th Conference on Computer and Robot Vision (CRV), 2016

Volumetric changes in the hippocampus have been shown to precede clinical symptom onset during the preclinical phase of Alzheimer's disease (AD). In this paper, we propose a novel statistical method for estimating the change point of the hippocampus, as extracted from structural magnetic resonance imaging scans, in relation to clinical symptom onset. We used a linear mixed- effect statistical model. ...


Oscillatory model of the hippocampal memory

R. Borisyuk; F. Hoppensteadt Neural Networks, 1999. IJCNN '99. International Joint Conference on, 1999

We describe a biologically inspired oscillatory neural network for memorizing temporal sequences of neural activity patterns. The neural network consists of interactive neural oscillators with all-to-all excitatory connections forced by a slow T-periodic signal. The dynamics of the network are viewed through a time window with duration T. The network memorizes binary patterns in terms of low and high activity ...


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Educational Resources on Hippocampus

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eLearning

Comparison of volumes of subcortical regions in schizophrenia patients and healthy controls using MRI

Afsoon Khodaei; Gholam-Ali Hossein-Zadeh; Esmaeil Shahsavand Ananloo 2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA), 2015

As a crucial mental disorder, schizophrenia affects one percent of the world population. Diagnosis of this disorder is now based mainly on the clinical symptoms. As the first study in Iran, we investigate the magnetic resonance imaging (MRI) images of patients with schizophrenia to investigate the imaging biomarkers for helping the diagnosis of this disorder. In this study, we have ...


Longitudinal progression of grey matter atrophy morphological characteristics in MCI patients

Guihong Yuan; Zhizheng Zhuo; Haiyun Li 2013 IEEE International Conference on Medical Imaging Physics and Engineering, 2013

Objective To investigate the differences of cerebral grey matter atrophy over time between MCI (Mild Cognitive Impairment) and NC (Normal Control), and further investigate the differences of cerebral grey matter atrophy between SMCI (Stable MCI) and PMCI (Progressive MCI). Methods Based on improved VBM- DARTEL method, NC and MCI longitudinal datasets of 3 years were processed. Firstly, the atrophy patterns ...


Real time algorithms for sharp wave ripple detection

Ankit Sethi; Caleb Kemere 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Neural activity during sharp wave ripples (SWR), short bursts of co-ordinated oscillatory activity in the CA1 region of the rodent hippocampus, is implicated in a variety of memory functions from consolidation to recall. Detection of these events in an algorithmic framework, has thus far relied on simple thresholding techniques with heuristically derived parameters. This study is an investigation into testing ...


Change Point Estimation of the Hippocampal Volumes in Alzheimer's Disease

Xiaoying Tang; Marilyn Albert; Michael I. Miller; Laurent Younes 2016 13th Conference on Computer and Robot Vision (CRV), 2016

Volumetric changes in the hippocampus have been shown to precede clinical symptom onset during the preclinical phase of Alzheimer's disease (AD). In this paper, we propose a novel statistical method for estimating the change point of the hippocampus, as extracted from structural magnetic resonance imaging scans, in relation to clinical symptom onset. We used a linear mixed- effect statistical model. ...


Oscillatory model of the hippocampal memory

R. Borisyuk; F. Hoppensteadt Neural Networks, 1999. IJCNN '99. International Joint Conference on, 1999

We describe a biologically inspired oscillatory neural network for memorizing temporal sequences of neural activity patterns. The neural network consists of interactive neural oscillators with all-to-all excitatory connections forced by a slow T-periodic signal. The dynamics of the network are viewed through a time window with duration T. The network memorizes binary patterns in terms of low and high activity ...


More eLearning Resources

IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Hippocampus"

IEEE-USA E-Books

  • 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.

  • 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.

  • 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

  • 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.

  • 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

  • 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.

  • State of the artificial rat Psikharpax

    This paper describes the current state of advancement of the Psikharpax project, which aims at producing an artificial rat equipped with control architectures and mechanisms that reproduce as nearly as possible those that have been widely studied in the natural rat. The article first describes the navigation system of Psikharpax, which is inspired from the anatomy and physiology of dedicated structures in the rat's brain, like the hippocampus and the postsubiculum. Then, it defines the animat's action-selection system, which aims at replicating other structures, the basal ganglia. It also explains how navigation and actionselection capacities have been combined thanks to the interconnection of two different ioops in the basal ganglia: a ventral loop that selects the direction of motion, and a dorsal loop that selects other behaviors, like feeding or drinking. Finally, preliminary results on the implementation of learning mechanisms in these structures are also presented.

  • 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.

  • Navigating With a Rat Brain: A Neurobiologically-Inspired Model for Robot Spatial Representation

    This paper presents a neurobiologically-feasible spatial representation model. The model was implemented and tested on a physical autonomous mobile robot. It was shown to be both computationally simple and physically robust. The described model is a possible interpretation of the organization and function of the rat hippocampus. The paper presents relevant biological, psychological, and neurobiological data, and gives a detailed set of comparisons between the physical hippocampus and our "synthetic" rat implementation. The implications of the many similarities are described. Finally, areas for future study in both biology and robotics are suggested.

  • BrainImplantable Biomimetic Electronics as Neural Prostheses to Restore Lost Cognitive Function

    This chapter contains sections titled: * Introduction * The System: Hippocampus * General Strategy and System Requirements * Proof of Concept: Replacement of CA3 Region of Hippocampal Slice with Biomimetic Device * Experimental Characterization of Nonlinear Properties of the Hippocampal Trisynaptic Pathway * Nonlinear Dynamic Modeling of CA3 Input/Output Properties * Microcircuitry Implementation of CA3 Input/Output Model * Conformal, Multisite Electrode Array Interface * System Integration: Restoration of Hippocampal Trisynaptic Circuit Dynamics with CA3 Prosthesis * Acknowledgments * References



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