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 2019)

    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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Context-switching and adaptation: Brain-inspired mechanisms for handling environmental changes

[{u'author_order': 1, u'affiliation': u'Canadian Centre for Behavioural Neuroscience, University of Lethbridge, Alberta, Canada', u'full_name': u'Eric Chalmers'}, {u'author_order': 2, u'affiliation': u'Canadian Centre for Behavioural Neuroscience, University of Lethbridge, Alberta, Canada', u'full_name': u'Edgar Bermudez Contreras'}, {u'author_order': 3, u'affiliation': u'Canadian Centre for Behavioural Neuroscience, University of Lethbridge, Alberta, Canada', u'full_name': u'Brandon Robertson'}, {u'author_order': 4, u'affiliation': u'Canadian Centre for Behavioural Neuroscience, University of Lethbridge, Alberta, Canada', u'full_name': u'Artur Luczak'}, {u'author_order': 5, u'affiliation': u'Canadian Centre for Behavioural Neuroscience, University of Lethbridge, Alberta, Canada', u'full_name': u'Aaron Gruber'}] 2016 International Joint Conference on Neural Networks (IJCNN), None

Reinforcement learning (RL) allows an intelligent agent to learn optimal behavior as it interacts with its environment. Conventional model-based RL algorithms learn rapidly, but can be slow to adapt to sudden changes in the environment. Animals' brains, however, are thought to employ model-based RL mechanisms for learning, but are able to adapt to changes with relative ease. By employing "transfer ...


Two types of astrocytic cell in the adult striatum

[{u'author_order': 1, u'affiliation': u'Department of Cellular Neurosciences, Max-Delbrueck-Center for Molecular Medicine, Berlin, Germany', u'full_name': u'Li-Ping Wang'}, {u'author_order': 2, u'affiliation': u'Department of Cellular Neurosciences, Max-Delbrueck-Center for Molecular Medicine, Berlin, Germany', u'full_name': u'Giselle Cheung'}, {u'author_order': 3, u'affiliation': u'Klinik und Poliklinik für Neurologie, Charité - Universitätsmedizin Berlin, Germany', u'full_name': u'Golo Kronenberg'}, {u'author_order': 4, u'affiliation': u'Klinik und Poliklinik für Neurologie, Charité - Universitätsmedizin Berlin, Germany', u'full_name': u'Karen Gertz'}, {u'author_order': 5, u'affiliation': u'Klinik und Poliklinik für Neurologie, Charité - Universitätsmedizin Berlin, Germany', u'full_name': u'Shengbo Ji'}, {u'author_order': 6, u'affiliation': u'Department of Neuronal Stem Cells, Max-Delbrueck-Center for Molecular Medicine, Berlin, Germany', u'full_name': u'Gerd Kempermann'}, {u'author_order': 7, u'affiliation': u'Klinik und Poliklinik für Neurologie, Charité - Universitätsmedizin Berlin, Germany', u'full_name': u'Matthias Endres'}, {u'author_order': 8, u'affiliation': u'Department of Cellular Neurosciences, Max-Delbrueck-Center for Molecular Medicine, Berlin, Germany', u'full_name': u'Helmut Kettenmann'}] 2008 International Conference on Information Technology and Applications in Biomedicine, None

We studied the properties of GFAP-expressing cells in adult mouse striatum using acute brain slices from transgenic animals expressing EGFP under GFAP promoter. Under physiological conditions, two distinct populations of GFAPEGFP cells could be identified: (1) brightly fluorescent cells had bushy processes, passive membrane properties, glutamate transporter activity, and high gap junction coupling rate typical for classical astrocytes; (2) weakly ...


Position reconstruction of rodent movements based on neural spike information of place cells

[{u'author_order': 1, u'affiliation': u'g.tec medical engineering GmbH, Guger Technologies OEG, Graz, Austria', u'full_name': u'Gunter Edlinger'}, {u'author_order': 2, u'affiliation': u'g.tec medical engineering GmbH, Guger Technologies OEG, Graz, Austria', u'full_name': u'Steve Schaffelhofer'}, {u'author_order': 3, u'affiliation': u'g.tec medical engineering GmbH, Guger Technologies OEG, Graz, Austria', u'full_name': u'Christoph Guger'}, {u'author_order': 4, u'affiliation': u"ICREA - Institut d'Investigacios Biomediques, August Pi i Sunyer, Barcelona, Spain", u'full_name': u'J. Brotons-Mas'}, {u'author_order': 5, u'affiliation': u"ICREA - Institut d'Investigacios Biomediques, August Pi i Sunyer, Barcelona, Spain", u'full_name': u'M. Sanchez-Vives'}] 2009 4th International IEEE/EMBS Conference on Neural Engineering, None

Place cells are located in the hippocampus of the brain and play an important role for spatial navigation. In this study neural spike activity of freely moving rats along with the position of the rats was acquired. The study was performed to investigate if position reconstruction is possible if the rat is freely moving in open arenas with and without ...


Diagnosis of Alzheimer Diseases in Early Step Using SVM (Support Vector Machine)

[{u'author_order': 1, u'affiliation': u"Ecole Nat. d'Ingenieur de Tunis, Univ. de Tunis El Manar, Tunis Le Belvédère, Tunisia", u'full_name': u'Amira Ben Rabeh'}, {u'author_order': 2, u'affiliation': u"Ecole Nat. d'Ingenieur de Tunis, Univ. de Tunis El Manar, Tunis Le Belvédère, Tunisia", u'full_name': u'Faouzi Benzarti'}, {u'author_order': 3, u'affiliation': u"Ecole Nat. d'Ingenieur de Tunis, Univ. de Tunis El Manar, Tunis Le Belvédère, Tunisia", u'full_name': u'Hamid Amiri'}] 2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV), None

Alzheimer is a disease that affects the brain. It causes degeneration of nerve cells (neurons) and in particular cells involved in memory and intellectual functions. Early diagnosis of Alzheimer Diseases (AD) raises ethical questions, since there is, at present, no cure to offer to patients and medicines from therapeutic trials appear to slow the progression of the disease as moderate, ...


Detection and classification of fast ripples using wavelets

[{u'author_order': 1, u'affiliation': u'INSERM, Rennes, France', u'full_name': u'Amar Kachenoura'}, {u'author_order': 2, u'affiliation': u'Dept. of fundamental Neurosci., Univ. of Geneva, Geneva, Switzerland', u'full_name': u'Gw\xe9n\xe4el Birot'}, {u'author_order': 3, u'affiliation': u'INSERM, Rennes, France', u'full_name': u'Laurent Albera'}, {u'author_order': 4, u'affiliation': u'INSERM, Rennes, France', u'full_name': u'Lotfi Senhadji'}, {u'author_order': 5, u'affiliation': u'INSERM, Rennes, France', u'full_name': u'Fabrice Wendling'}] 2013 2nd International Conference on Advances in Biomedical Engineering, None

Fast ripples (FRs) are hypothesized to be a biomarker of epileptogenic processes. In this communication, we introduce a two-step procedure for automatically detecting and classifying FRs. In the first step, we detect all events of interest (EOIs) in the frequency band ranging from 250 Hz to 600 Hz. Then, based on wavelet transform, a local energy vs frequency analysis is ...


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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.

  • 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

  • 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

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.



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