neurological models

Summary

Summary: Theoretical representations that simulate the behavior or activity of the neurological system, processes or phenomena; includes the use of mathematical equations, computers, and other electronic equipment.

Top Publications

  1. ncbi Collective dynamics of 'small-world' networks
    D J Watts
    Department of Theoretical and Applied Mechanics, Cornell University, Ithaca, New York 14853, USA
    Nature 393:440-2. 1998
  2. ncbi Dynamic causal modelling
    K J Friston
    The Wellcome Department of Imaging Neuroscience, Institute of Neurology, Queen Square, London WC1N 3BG, UK
    Neuroimage 19:1273-302. 2003
  3. ncbi A neural substrate of prediction and reward
    W Schultz
    Institute of Physiology, University of Fribourg, CH 1700 Fribourg, Switzerland
    Science 275:1593-9. 1997
  4. pmc A theory of cortical responses
    Karl Friston
    The Wellcome Department of Imaging Neuroscience, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3BG, UK
    Philos Trans R Soc Lond B Biol Sci 360:815-36. 2005
  5. ncbi Neurophysiological architecture of functional magnetic resonance images of human brain
    Raymond Salvador
    Brain Mapping Unit and Wolfson Brain Imaging Centre, University of Cambridge, Addenbrooke s Hospital, Cambridge CB2 2QQ, UK
    Cereb Cortex 15:1332-42. 2005
  6. ncbi Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects
    R P Rao
    Salk Institute, Sloan Center for Theoretical Neurobiology, La Jolla, California, USA
    Nat Neurosci 2:79-87. 1999
  7. ncbi Microstructure of a spatial map in the entorhinal cortex
    Torkel Hafting
    Centre for the Biology of Memory, Norwegian University of Science and Technology, 7489 Trondheim, Norway
    Nature 436:801-6. 2005
  8. pmc Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
    Michael D Greicius
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA 94305 5719, USA
    Proc Natl Acad Sci U S A 100:253-8. 2003
  9. pmc Mapping the structural core of human cerebral cortex
    Patric Hagmann
    Department of Radiology, University Hospital Center and University of Lausanne CHUV, Lausanne, Switzerland
    PLoS Biol 6:e159. 2008
  10. ncbi The small world of the cerebral cortex
    Olaf Sporns
    Department of Psychology, Indiana University, Bloomington 47405, USA
    Neuroinformatics 2:145-62. 2004

Detail Information

Publications262 found, 100 shown here

  1. ncbi Collective dynamics of 'small-world' networks
    D J Watts
    Department of Theoretical and Applied Mechanics, Cornell University, Ithaca, New York 14853, USA
    Nature 393:440-2. 1998
    ..In particular, infectious diseases spread more easily in small-world networks than in regular lattices...
  2. ncbi Dynamic causal modelling
    K J Friston
    The Wellcome Department of Imaging Neuroscience, Institute of Neurology, Queen Square, London WC1N 3BG, UK
    Neuroimage 19:1273-302. 2003
    ..psychophysiologic interactions). However, unlike previous approaches in neuroimaging, the causal model ascribes responses to designed deterministic inputs, as opposed to treating inputs as unknown and stochastic...
  3. ncbi A neural substrate of prediction and reward
    W Schultz
    Institute of Physiology, University of Fribourg, CH 1700 Fribourg, Switzerland
    Science 275:1593-9. 1997
    ..Taken together, these findings can be understood through quantitative theories of adaptive optimizing control...
  4. pmc A theory of cortical responses
    Karl Friston
    The Wellcome Department of Imaging Neuroscience, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3BG, UK
    Philos Trans R Soc Lond B Biol Sci 360:815-36. 2005
    ..The final focus of this article is on perceptual learning as measured with the MMN and the implications for empirical studies of coupling among cortical areas using evoked sensory responses...
  5. ncbi Neurophysiological architecture of functional magnetic resonance images of human brain
    Raymond Salvador
    Brain Mapping Unit and Wolfson Brain Imaging Centre, University of Cambridge, Addenbrooke s Hospital, Cambridge CB2 2QQ, UK
    Cereb Cortex 15:1332-42. 2005
    ....
  6. ncbi Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects
    R P Rao
    Salk Institute, Sloan Center for Theoretical Neurobiology, La Jolla, California, USA
    Nat Neurosci 2:79-87. 1999
    ....
  7. ncbi Microstructure of a spatial map in the entorhinal cortex
    Torkel Hafting
    Centre for the Biology of Memory, Norwegian University of Science and Technology, 7489 Trondheim, Norway
    Nature 436:801-6. 2005
    ..The map is anchored to external landmarks, but persists in their absence, suggesting that grid cells may be part of a generalized, path-integration-based map of the spatial environment...
  8. pmc Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
    Michael D Greicius
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA 94305 5719, USA
    Proc Natl Acad Sci U S A 100:253-8. 2003
    ..Our findings also provide insight into how this network is modulated by task demands and what functions it might subserve...
  9. pmc Mapping the structural core of human cerebral cortex
    Patric Hagmann
    Department of Radiology, University Hospital Center and University of Lausanne CHUV, Lausanne, Switzerland
    PLoS Biol 6:e159. 2008
    ..The spatial and topological centrality of the core within cortex suggests an important role in functional integration...
  10. ncbi The small world of the cerebral cortex
    Olaf Sporns
    Department of Psychology, Indiana University, Bloomington 47405, USA
    Neuroinformatics 2:145-62. 2004
    ..We discuss the significance of these universal organizational features of cortex in light of functional brain anatomy. Supplementary materials are at www.indiana.edu/~cortex/lab.htm...
  11. ncbi Small-world brain networks
    Danielle Smith Bassett
    Brain Mapping Unit, University of Cambridge, Department of Psychiatry, Addenbrooke s Hospital, Cambridge, United Kingdom
    Neuroscientist 12:512-23. 2006
    ..They conclude that small-world models provide a powerful and versatile approach to understanding the structure and function of human brain systems...
  12. ncbi Neuronal avalanches in neocortical circuits
    John M Beggs
    Unit of Neural Network Physiology, Laboratory of Systems Neuroscience, National Institute of Mental Health, Bethesda, Maryland 20892 4075, USA
    J Neurosci 23:11167-77. 2003
    ..In the critical state, the network may satisfy the competing demands of information transmission and network stability...
  13. ncbi Neural correlations, population coding and computation
    Bruno B Averbeck
    Department of Brain and Cognitive Sciences and Center for Visual Science, University of Rochester, Rochester, New York 14627, USA
    Nat Rev Neurosci 7:358-66. 2006
    ..Here, we review studies that address the interaction between neuronal noise and population codes, and discuss their implications for population coding in general...
  14. ncbi Efficient behavior of small-world networks
    V Latora
    , , Batiment 100, 91405 Orsay Cedex, France
    Phys Rev Lett 87:198701. 2001
    ..We study neural networks and man-made communication and transportation systems and we show that the underlying general principle of their construction is in fact a small-world principle of high efficiency...
  15. pmc Bayesian model selection for group studies
    Klaas Enno Stephan
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK
    Neuroimage 46:1004-17. 2009
    ..g. comparing different source reconstruction methods for EEG/MEG or selecting among competing computational models of learning and decision-making...
  16. ncbi Age-related changes in modular organization of human brain functional networks
    David Meunier
    Brain Mapping Unit, University of Cambridge, Cambridge, UK
    Neuroimage 44:715-23. 2009
    ....
  17. ncbi Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    B A Olshausen
    Department of Psychology, Cornell University, Ithaca, New York 14853, USA
    Nature 381:607-9. 1996
    ..The resulting sparse image code provides a more efficient representation for later stages of processing because it possesses a higher degree of statistical independence among its outputs...
  18. pmc The human brain is intrinsically organized into dynamic, anticorrelated functional networks
    Michael D Fox
    Department of Radiology, Washington University, St Louis, MO 63110, USA
    Proc Natl Acad Sci U S A 102:9673-8. 2005
    ..We suggest that both task-driven neuronal responses and behavior are reflections of this dynamic, ongoing, functional organization of the brain...
  19. ncbi Neuronal circuits of the neocortex
    Rodney J Douglas
    Institute of Neuroinformatics, University ETH Zurich, Zurich 8057, Switzerland
    Annu Rev Neurosci 27:419-51. 2004
    ....
  20. ncbi Gain modulation from background synaptic input
    Frances S Chance
    Center for Neural Science, New York University, New York, NY 10003, USA
    Neuron 35:773-82. 2002
    ..These results suggest that, within active cortical circuits, the overall level of synaptic input to a neuron acts as a gain control signal that modulates responsiveness to excitatory drive...
  21. ncbi Probabilistic decision making by slow reverberation in cortical circuits
    Xiao Jing Wang
    Volen Center for Complex Systems, Brandeis University, Waltham, MA 02254, USA
    Neuron 36:955-68. 2002
    ....
  22. ncbi Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons
    N Brunel
    LPS, Ecole Normale Superieure, Paris, France
    J Comput Neurosci 8:183-208. 2000
    ..In the slow oscillatory state, the network frequency depends mostly on the membrane time constant. Finite size effects in the asynchronous state are also discussed...
  23. ncbi Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task
    Jamie D Roitman
    Program in Neurobiology and Behavior, Department of Physiology and Biophysics, and Regional Primate Research Center, University of Washington, Seattle, Washington 98195 7290, USA
    J Neurosci 22:9475-89. 2002
    ..A threshold level of LIP activity appears to mark the completion of the decision process and to govern the tradeoff between accuracy and speed of perception...
  24. ncbi Sparse coding of sensory inputs
    Bruno A Olshausen
    Center for Neuroscience, UC Davis, 1544 Newton Court, Davis, California 95616, USA
    Curr Opin Neurobiol 14:481-7. 2004
    ..Recent physiological recordings from sensory neurons have indicated that sparse coding could be a ubiquitous strategy employed in several different modalities across different organisms...
  25. ncbi Synaptic plasticity and dysconnection in schizophrenia
    Klaas E Stephan
    Wellcome Department of Imaging Neuroscience, Institute of Neurology, University College London, London, United Kingdom
    Biol Psychiatry 59:929-39. 2006
    ..Promising experimental paradigms include perceptual and reinforcement learning. We describe how theoretical and causal models of brain responses might contribute to a mechanistic understanding of synaptic plasticity in schizophrenia...
  26. pmc The dynamic brain: from spiking neurons to neural masses and cortical fields
    Gustavo Deco
    Institucio Catalana de Recerca i Estudis Avancats ICREA, Universitat Pompeu Fabra, Department of Technology, Computational Neuroscience, Barcelona, Spain
    PLoS Comput Biol 4:e1000092. 2008
    ..We argue that elaborating principled and informed models is a prerequisite for grounding empirical neuroscience in a cogent theoretical framework, commensurate with the achievements in the physical sciences...
  27. ncbi Synaptic tagging and long-term potentiation
    U Frey
    Federal Institute for Neurobiology, Gene Regulation and Plasticity, Magdeburg, Germany
    Nature 385:533-6. 1997
    ..The synaptic tag decays in less than three hours. These findings indicate that the persistence of LTP depends not only on local events during its induction, but also on the prior activity of the neuron...
  28. pmc Predicting human resting-state functional connectivity from structural connectivity
    C J Honey
    Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
    Proc Natl Acad Sci U S A 106:2035-40. 2009
    ....
  29. pmc Hierarchical models in the brain
    Karl Friston
    The Wellcome Trust Centre of Neuroimaging, University College London, London, United Kingdom
    PLoS Comput Biol 4:e1000211. 2008
    ..We then show that this inversion can be formulated as a simple neural network and may provide a useful metaphor for inference and learning in the brain...
  30. pmc Efficiency and cost of economical brain functional networks
    Sophie Achard
    Brain Mapping Unit, Department of Psychiatry, Addenbrooke s Hospital, University of Cambridge, Cambridge, United Kingdom
    PLoS Comput Biol 3:e17. 2007
    ....
  31. ncbi Integrated model of visual processing
    J Bullier
    Centre de Recherche Cerveau et Cognition CNRS UPS, Universite Paul Sabatier, 133 route de Narbonne, 31062, Cedex 4, Toulouse, France
    Brain Res Brain Res Rev 36:96-107. 2001
    ....
  32. ncbi Interpreting the BOLD signal
    Nikos K Logothetis
    Max Planck Institut für biologische Kybernetik, Tubingen, Germany
    Annu Rev Physiol 66:735-69. 2004
    ..We conclude with a discussion of how to use the BOLD signal to make inferences about the neural signal...
  33. ncbi Polychronization: computation with spikes
    Eugene M Izhikevich
    The Neurosciences Institute, 10640 John Jay Hopkins Drive, San Diego, CA 92121, USA
    Neural Comput 18:245-82. 2006
    ....
  34. ncbi Nonlinear multivariate analysis of neurophysiological signals
    Ernesto Pereda
    Department of Basic Physics, College of Physics and Mathematics, University of La Laguna, Avda Astrofísico Fco Sánchez s n, 38205 La Laguna, Tenerife, Spain
    Prog Neurobiol 77:1-37. 2005
    ..Finally, we illustrate the use of multivariate surrogate data test for the assessment of the strength (strong or weak) and the type (linear or nonlinear) of interdependence between neurophysiological signals...
  35. pmc An oscillatory interference model of grid cell firing
    Neil Burgess
    Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London, United Kingdom
    Hippocampus 17:801-12. 2007
    ..Predictions of the interference model are given for the frequency composition of EEG power spectra and temporal autocorrelograms of grid cell firing as functions of the speed and direction of running and the novelty of the environment...
  36. ncbi Psychophysiological and modulatory interactions in neuroimaging
    K J Friston
    Wellcome Department of Cognitive Neurology, London, United Kingdom
    Neuroimage 6:218-29. 1997
    ..We focus on interactions among extrastriate, inferotemporal, and posterior parietal regions during visual processing, under different attentional and perceptual conditions...
  37. ncbi Consciousness and complexity
    G Tononi
    Neurosciences Institute, 10640 John J Hopkins Drive, San Diego, CA 92121, USA
    Science 282:1846-51. 1998
    ..Applying measures of neural integration and complexity, together with an analysis of extensive neurological data, leads to a testable proposal-the dynamic core hypothesis-about the properties of the neural substrate of consciousness...
  38. ncbi A quantitative map of the circuit of cat primary visual cortex
    Tom Binzegger
    Institute of Neuroinformatics, University of Zurich, and Eidgenössische Technische Hochschule Zürich, CH 8057 Zurich, Switzerland
    J Neurosci 24:8441-53. 2004
    ..The map of the whole cortical circuit shows that there are very few "strong" but many "weak" excitatory projections, each of which may involve only a few percentage of the total complement of excitatory synapses of a single neuron...
  39. ncbi Functional connectivity patterns of human magnetoencephalographic recordings: a 'small-world' network?
    C J Stam
    Department of Clinical Neurophysiology, VU University Medical Center, P O Box 7057, 1007 MB Amsterdam, The Netherlands
    Neurosci Lett 355:25-8. 2004
    ..This might reflect an optimal organization pattern for information processing, connecting any two brain area by only a small number of intermediate steps...
  40. ncbi A tension-based theory of morphogenesis and compact wiring in the central nervous system
    D C Van Essen
    Department of Anatomy and Neurobiology, Washington University School of Medicine, St Louis, Missouri 63110, USA
    Nature 385:313-8. 1997
    ..By keeping the aggregate length of axonal and dendritic wiring low, tension should contribute to the compactness of neural circuitry throughout the adult brain...
  41. ncbi The metabolic cost of neural information
    S B Laughlin
    Department of Zoology, University of Cambridge, UK
    Nat Neurosci 1:36-41. 1998
    ..Therefore, in noise-limited signaling systems, a weak pathway of low capacity transmits information more economically, which promotes the distribution of information among multiple pathways...
  42. ncbi Disrupted small-world networks in schizophrenia
    Yong Liu
    National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China
    Brain 131:945-61. 2008
    ..Detection and estimation of these alterations could prove helpful for understanding the pathophysiological mechanism as well as for evaluation of the severity of schizophrenia...
  43. pmc Revealing modular architecture of human brain structural networks by using cortical thickness from MRI
    Zhang J Chen
    McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada H3A 2B4
    Cereb Cortex 18:2374-81. 2008
    ..This study provides the first report of modular architecture of the structural network in the human brain using cortical thickness measurements...
  44. pmc Motifs in brain networks
    Olaf Sporns
    Department of Psychology and Program in Cognitive Science, Indiana University, Bloomington, Indiana, USA
    PLoS Biol 2:e369. 2004
    ..These results are consistent with the hypothesis that highly evolved neural architectures are organized to maximize functional repertoires and to support highly efficient integration of information...
  45. pmc Large-scale model of mammalian thalamocortical systems
    Eugene M Izhikevich
    The Neurosciences Institute, 10640 John Jay Hopkins Drive, San Diego, CA 92121, USA
    Proc Natl Acad Sci U S A 105:3593-8. 2008
    ..We describe spontaneous activity, sensitivity to changes in individual neurons, emergence of waves and rhythms, and functional connectivity on different scales...
  46. pmc A neuronal network model linking subjective reports and objective physiological data during conscious perception
    Stanislas Dehaene
    Institut National de la Sante et de la Recherche Medicale, Unité 562, Cognitive Neuroimaging, Institut Fédératif de Recherche 49, Service Hospitalier Frederic Joliot, Commissariat à l Energie Atomique DSV, 91401 Orsay Cedex, France
    Proc Natl Acad Sci U S A 100:8520-5. 2003
    ..This all-or-none dynamics of conscious perception was verified behaviorally in human subjects...
  47. ncbi Hippocampal remapping and grid realignment in entorhinal cortex
    Marianne Fyhn
    Centre for the Biology of Memory, Norwegian University of Science and Technology, NO 7489 Trondheim, Norway
    Nature 446:190-4. 2007
    ....
  48. ncbi Real-time computing without stable states: a new framework for neural computation based on perturbations
    Wolfgang Maass
    Institute for Theoretical Computer Science, Technische Universitat Graz, A 8010 Graz, Austria
    Neural Comput 14:2531-60. 2002
    ..Our approach provides new perspectives for the interpretation of neural coding, the design of experiments and data analysis in neurophysiology, and the solution of problems in robotics and neurotechnology...
  49. ncbi Comparing dynamic causal models
    W D Penny
    Wellcome Department of Imaging Neuroscience, University College London, London, UK
    Neuroimage 22:1157-72. 2004
    ..The combined use of Bayes factors and DCM thus allows one to evaluate competing scientific theories about the architecture of large-scale neural networks and the neuronal interactions that mediate perception and cognition...
  50. ncbi The gamma cycle
    Pascal Fries
    F C Donders Centre for Cognitive Neuroimaging, Radboud University Nijmegen, 6525 EN Nijmegen, The Netherlands
    Trends Neurosci 30:309-16. 2007
    ..This review is part of the INMED/TINS special issue Physiogenic and pathogenic oscillations: the beauty and the beast, based on presentations at the annual INMED/TINS symposium (http://inmednet.com)...
  51. ncbi Correlation between neural spike trains increases with firing rate
    Jaime de la Rocha
    Center for Neural Science, New York University, New York 10003, USA
    Nature 448:802-6. 2007
    ..This connection between the rate and correlation of spiking activity links two fundamental features of the neural code...
  52. ncbi Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory
    X J Wang
    Volen Center for Complex Systems, Department of Physics, Brandeis University, Waltham, Massachusetts 02454 9110, USA
    J Neurosci 19:9587-603. 1999
    ..This result suggests a critical role of the NMDA receptor channels in normal working memory function of the prefrontal cortex...
  53. ncbi Cellular and network mechanisms of slow oscillatory activity (<1 Hz) and wave propagations in a cortical network model
    Albert Compte
    Volen Center for Complex Systems, Brandeis University, Waltham, Massachusetts 02454, USA
    J Neurophysiol 89:2707-25. 2003
    ..Finally, we show with this model that various known physiological effects of neuromodulation can switch the network to tonic firing, thus simulating a transition to the waking state...
  54. ncbi The neural representation of time
    Richard B Ivry
    3210 Tolman Hall, Department of Psychology, University of California, Berkeley, California 94720 1650 USA
    Curr Opin Neurobiol 14:225-32. 2004
    ..Emphasis has also been placed on the basal ganglia as a specialized timing system, particularly for longer intervals. We outline an alternative hypothesis in which this structure is associated with decision processes...
  55. ncbi Experience-dependent rescaling of entorhinal grids
    Caswell Barry
    Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London WC1N 3AR, UK
    Nat Neurosci 10:682-4. 2007
    ..Thus grid scale reflects an interaction between intrinsic, path-integrative calculation of location and learned associations to the external environment...
  56. ncbi Humans integrate visual and haptic information in a statistically optimal fashion
    Marc O Ernst
    Vision Science Program, School of Optometry, University of California, Berkeley 94720 2020, USA
    Nature 415:429-33. 2002
    ..Visual dominance occurs when the variance associated with visual estimation is lower than that associated with haptic estimation...
  57. ncbi State-dependent computations: spatiotemporal processing in cortical networks
    Dean V Buonomano
    Department of Neurobiology, Brain Research Institute, University of California, Los Angeles, California 90095, USA
    Nat Rev Neurosci 10:113-25. 2009
    ....
  58. pmc Network structure of cerebral cortex shapes functional connectivity on multiple time scales
    Christopher J Honey
    Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
    Proc Natl Acad Sci U S A 104:10240-5. 2007
    ....
  59. ncbi Sources of signal-dependent noise during isometric force production
    Kelvin E Jones
    Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, Queen Square London, WC1N 3BG, United Kingdom
    J Neurophysiol 88:1533-44. 2002
    ..Synaptic noise in the motor command and common drive, which give rise to the variability and synchronization of motoneuron spiking, determine the magnitude of the force variability at a given level of mean force output...
  60. pmc A dual role for prediction error in associative learning
    Hanneke E M den Ouden
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3BG, UK
    Cereb Cortex 19:1175-85. 2009
    ..These results posit a dual role for prediction-error in encoding surprise and driving associative plasticity...
  61. ncbi Synaptic plasticity, memory and the hippocampus: a neural network approach to causality
    Guilherme Neves
    Division of Neurophysiology, Medical Research Council National Institute for Medical Research, Mill Hill, London, NW7 1AA, UK
    Nat Rev Neurosci 9:65-75. 2008
    ..In the process, the hypothesis that synaptic plasticity is necessary and sufficient for information storage in the brain may finally be validated...
  62. doi Neuroscience. Transient dynamics for neural processing
    Misha Rabinovich
    Institute for Nonlinear Science, University of California at San Diego, La Jolla, CA 92093, USA
    Science 321:48-50. 2008
  63. ncbi Multiple neural spike train data analysis: state-of-the-art and future challenges
    Emery N Brown
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, and Division of Health Sciences and Technology, Harvard Medical School, Boston, 02114, USA
    Nat Neurosci 7:456-61. 2004
    ..Here we review statistical methods for the analysis of multiple neural spike-train data and discuss future challenges for methodology research...
  64. ncbi Adaptive exponential integrate-and-fire model as an effective description of neuronal activity
    Romain Brette
    Dept d Informatique, Equipe Odyssée, Ecole Normale Superieure, 45 rue d Ulm, 75230 Paris Cedex 05, France
    J Neurophysiol 94:3637-42. 2005
    ..These results are promising because this simple model has enough expressive power to reproduce qualitatively several electrophysiological classes described in vitro...
  65. ncbi A unifying explanation of primary generalized seizures through nonlinear brain modeling and bifurcation analysis
    M Breakspear
    School of Physics, University of Sydney, NSW 2006, Australia
    Cereb Cortex 16:1296-313. 2006
    ..The present study is the first to present a unifying explanation of these generalized seizures using the bifurcation analysis of a dynamical model of the brain...
  66. ncbi Modeling the hemodynamic response to brain activation
    Richard B Buxton
    Department of Radiology, 0677, and Center for Functional MRI, University of California San Diego, La Jolla, CA 92093 0677, USA
    Neuroimage 23:S220-33. 2004
    ..This approach has the potential to enhance numerous studies of brain function in development, health, and disease...
  67. ncbi Neural mechanisms for detecting and remembering novel events
    Charan Ranganath
    Center for Neuroscience and Department of Psychology, University of California, Davis, 1544 Newton Ct, Davis, California 95616, USA
    Nat Rev Neurosci 4:193-202. 2003
    ..Here, we review this research and suggest how changes in neural processing at the cellular, synaptic and network levels allow us to detect, attend to and subsequently remember the occurrence of a novel event...
  68. pmc Computational evidence for a rivalry hierarchy in vision
    Hugh R Wilson
    Centre for Vision Research and Department of Biology, York University, 4700 Keele Street, Toronto, ON, Canada M3J 1P3
    Proc Natl Acad Sci U S A 100:14499-503. 2003
    ..This result provides a synthesis of competing rivalry theories and suggests that neural competition may be a general characteristic throughout the form-vision hierarchy...
  69. ncbi Localization of brain electrical activity via linearly constrained minimum variance spatial filtering
    B D Van Veen
    Department of Electrical and Computer Engineering, University of Wisconsin, Madison 53706, USA
    IEEE Trans Biomed Eng 44:867-80. 1997
    ..The effect on the algorithm of covariance matrix estimation, correlation between sources, and choice of reference is discussed. Simulated and measured data is used to illustrate the efficacy of the approach...
  70. ncbi Synchronization in networks of excitatory and inhibitory neurons with sparse, random connectivity
    Christoph Börgers
    Department of Mathematics, Tufts University, Medford, MA 02155, U S A
    Neural Comput 15:509-38. 2003
    ..Faster decay yields tighter synchrony. In particular, in models in which the inhibitory synapses are assumed to be instantaneous, the effects of sparse, random connectivity cannot be seen...
  71. ncbi The cost of cortical computation
    Peter Lennie
    Center for Neural Science, New York University, 4 Washington Place, New York, NY 10003, USA
    Curr Biol 13:493-7. 2003
    ..The latter constraint explains the investment in local control of hemodynamics, exploited by functional magnetic resonance imaging, and the need for mechanisms of selective attention...
  72. pmc Identifying neural drivers with functional MRI: an electrophysiological validation
    Olivier David
    INSERM, U836, Grenoble Institut des Neurosciences, Grenoble, France
    PLoS Biol 6:2683-97. 2008
    ..As such, it has important implications for future studies on brain connectivity using functional neuroimaging...
  73. ncbi Equilibrium properties of temporally asymmetric Hebbian plasticity
    J Rubin
    Department of Mathematics, University of Pittsburg, Pennsylvania 15260, USA
    Phys Rev Lett 86:364-7. 2001
    ..When these cells are temporally correlated, the synaptic strength varies smoothly with the degree and phase of their synchrony...
  74. ncbi Neural mechanisms of orientation selectivity in the visual cortex
    D Ferster
    Department of Neurobiology and Physiology, Northwestern University, Evanston, Illinois 60208, USA
    Annu Rev Neurosci 23:441-71. 2000
    ..The modified feed-forward and the feedback models ascribe fundamentally different functions to cortical processing...
  75. ncbi Pyramidal neurons: dendritic structure and synaptic integration
    Nelson Spruston
    Northwestern University, Department of Neurobiology and Physiology, 2205 Tech Drive, Evanston, Illinois 60208, USA
    Nat Rev Neurosci 9:206-21. 2008
    ..These properties support a variety of coincidence-detection mechanisms, which are likely to be crucial for synaptic integration and plasticity...
  76. pmc Wiring optimization can relate neuronal structure and function
    Beth L Chen
    Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
    Proc Natl Acad Sci U S A 103:4723-8. 2006
    ..We propose that biological factors relating to axonal guidance and command neuron functions contribute to these deviations. We capture these factors by proposing a modified wiring cost function...
  77. ncbi Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices
    O Sporns
    The Neurosciences Institute, 10640 John Jay Hopkins Drive, San Diego, CA 92121, USA
    Cereb Cortex 10:127-41. 2000
    ..We hypothesize that adaptation to rich sensory environments and motor demands requires complex dynamics and that these dynamics are supported by neuroanatomical motifs that are characteristic of the cerebral cortex...
  78. ncbi Dopamine responses comply with basic assumptions of formal learning theory
    P Waelti
    Institute of Physiology and Programme in Neuroscience, University of Fribourg, CH-1700 Fribourg, Switzerland
    Nature 412:43-8. 2001
    ..Our data indicate that the use of analytical tests derived from formal behavioural learning theory provides a powerful approach for studying the role of single neurons in learning...
  79. ncbi Specific GABAA circuits for visual cortical plasticity
    Michela Fagiolini
    Laboratory for Neuronal Circuit Development, RIKEN Brain Science Institute, 2 1 Hirosawa, Wako Shi, Saitama, 351 0198 Japan
    Science 303:1681-3. 2004
    ..This dissociation carries implications for models of brain development and the safe design of benzodiazepines for use in infants...
  80. pmc Nonlinear dynamic causal models for fMRI
    Klaas Enno Stephan
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3BG, UK
    Neuroimage 42:649-62. 2008
    ..In both practical examples, Bayesian model selection favoured the nonlinear models over corresponding bilinear ones...
  81. ncbi Classical and Bayesian inference in neuroimaging: applications
    K J Friston
    The Wellcome Department of Cognitive Neurology and The Institute of Cognitive Neuroscience, University College London, Queen Square, London, WC1N 3BG, United Kingdom
    Neuroimage 16:484-512. 2002
    ..We conclude with some general comments on Bayesian approaches to image analysis and on some unresolved issues...
  82. ncbi Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces
    Laurent Badel
    Laboratory of Computational Neuroscience, School of Computer and Communication Sciences and Brain Institute, Lausanne, Switzerland
    J Neurophysiol 99:656-66. 2008
    ..The predictions of the resulting model are in excellent agreement with experimental data and close to the intrinsic neuronal reproducibility to repeated stimuli...
  83. ncbi Probabilistic reasoning by neurons
    Tianming Yang
    Howard Hughes Medical Institute, Department of Physiology and Biophysics, National Primate Research Center, University of Washington, Box 357290, Seattle, Washington 98195 7290, USA
    Nature 447:1075-80. 2007
    ..Monkeys learned to combine probabilistic information from the shape combinations. Moreover, neurons in the parietal cortex reveal the addition and subtraction of probabilistic quantities that underlie decision-making on this task...
  84. ncbi Evaluating causal relations in neural systems: granger causality, directed transfer function and statistical assessment of significance
    M Kaminski
    Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton 33431, USA
    Biol Cybern 85:145-57. 2001
    ..In addition, we propose a method to assess the significance of causality measures. Finally, we demonstrate the applications of these measures to simulated data and actual neurobiological recordings...
  85. ncbi Effects of synaptic noise and filtering on the frequency response of spiking neurons
    N Brunel
    LPS, , Paris, France
    Phys Rev Lett 86:2186-9. 2001
    ..Thus, through its effect on noise inputs, realistic synaptic dynamics can ensure unlagged neuronal responses to high-frequency inputs...
  86. ncbi The neural basis of decision making
    Joshua I Gold
    Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania 19104 6074, USA
    Annu Rev Neurosci 30:535-74. 2007
    ..We focus on simple decisions that can be studied in the laboratory but emphasize general principles likely to extend to other settings...
  87. pmc Bayesian estimation of synaptic physiology from the spectral responses of neural masses
    R J Moran
    The School of Electrical, Electronic and Mechanical Engineering, University College Dublin, Dublin, Ireland
    Neuroimage 42:272-84. 2008
    ..These inferences were consistent with predictions derived from experimental microdialysis measures of extracellular glutamate levels...
  88. ncbi Predicting spike timing of neocortical pyramidal neurons by simple threshold models
    Renaud Jolivet
    Ecol Polytechnique Federale de Lausanne EPFL, School of Computer and Communication Sciences and Brain Mind Institute, Station 15, CH 1015, Lausanne, Switzerland
    J Comput Neurosci 21:35-49. 2006
    ....
  89. ncbi The structure of multi-neuron firing patterns in primate retina
    Jonathon Shlens
    Department of Systems Neurobiology, The Salk Institute, La Jolla, California 92037, USA
    J Neurosci 26:8254-66. 2006
    ..This approach provides a way to define limits on the complexity of network interactions and thus may be relevant for probing the function of many neural circuits...
  90. ncbi The short-latency dopamine signal: a role in discovering novel actions?
    Peter Redgrave
    Neuroscience Research Unit, Department of Psychology, University of Sheffield, Sheffield, S10 2TP, UK
    Nat Rev Neurosci 7:967-75. 2006
    ....
  91. ncbi Somatosensory integration controlled by dynamic thalamocortical feed-forward inhibition
    Laetitia Gabernet
    Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland
    Neuron 48:315-27. 2005
    ..Hence, feed-forward inhibitory circuits, classically known to sharpen spatial contrast of tactile inputs, also increase the temporal resolution in the somatosensory cortex...
  92. ncbi A cellular mechanism of reward-related learning
    J N Reynolds
    The Neuroscience Research Centre, University of Otago, School of Medical Sciences, Dunedin, New Zealand
    Nature 413:67-70. 2001
    ..We propose that stimulation of the substantia nigra when the lever is pressed induces a similar potentiation of cortical inputs to the striatum, positively reinforcing the learning of the behaviour by the rats...
  93. ncbi Identifying true brain interaction from EEG data using the imaginary part of coherency
    Guido Nolte
    Human Motor Control Section, NINDS, NIH, 10 Center Drive MSC 1428, Bldg 10, Room 5N226, Bethesda, MD 20892 1428, USA
    Clin Neurophysiol 115:2292-307. 2004
    ..Here, we present an approach which is insensitive to false connectivity arising from volume conduction...
  94. ncbi How spike generation mechanisms determine the neuronal response to fluctuating inputs
    Nicolas Fourcaud-Trocmé
    Centre National de la Recherche Scientifique Unité Mixte de Recherche 8119, Neurophysique et Physiologie du Système Moteur, Unité de Formation et de Recherche Biomédicale, Universite Paris 5 Rene Descartes, 75270 Paris Cedex 06, France
    J Neurosci 23:11628-40. 2003
    ..Our study shows how an intrinsic neuronal property (the characteristics of fast sodium channels) determines the speed with which neurons can track changes in input...
  95. ncbi The blue brain project
    Henry Markram
    Laboratory of Neural Microcircuitry, Brain Mind Institute, Ecole Polytechnique Federale de Lausanne, Lausanne 1015, Switzerland
    Nat Rev Neurosci 7:153-60. 2006
    ....
  96. ncbi Population dynamics under the Laplace assumption
    André C Marreiros
    The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK
    Neuroimage 44:701-14. 2009
    ..The mean-field model presented here will form the basis of a dynamic causal model of observed electromagnetic signals in future work...
  97. pmc Sparse representation of sounds in the unanesthetized auditory cortex
    Tomás Hromádka
    Cold Spring Harbor Laboratory, Watson School of Biological Sciences, Cold Spring Harbor, New York, United States of America
    PLoS Biol 6:e16. 2008
    ..Our results are compatible with a model in which most neurons are silent much of the time, and in which representations are composed of small dynamic subsets of highly active neurons...
  98. ncbi Reinforcement learning, spike-time-dependent plasticity, and the BCM rule
    Dorit Baras
    Neural Comput 19:2245-79. 2007
    ..Finally, through statistical analysis, we show that the synaptic plasticity rule established is closely related to the widely used BCM rule, for which good biological evidence exists...
  99. ncbi Dynamics of the firing probability of noisy integrate-and-fire neurons
    Nicolas Fourcaud
    Laboratoire de Physique Statistique, Ecole Normale Superieure, 75231 Paris Cedex 05, France
    Neural Comput 14:2057-110. 2002
    ..In both cases, we determine, using numerical simulations, an effective decay time constant that describes the neuronal response completely...
  100. ncbi Uncertainty, neuromodulation, and attention
    Angela J Yu
    Gatsby Computational Neuroscience Unit, London, United Kingdom
    Neuron 46:681-92. 2005
    ..Moreover, the model suggests a class of attentional cueing tasks that involve both neuromodulators and shows how their interactions may be part-antagonistic, part-synergistic...
  101. ncbi Correlations and population dynamics in cortical networks
    Birgit Kriener
    Bernstein Center for Computational Neuroscience, and Neurobiology and Biophysics, Faculty of Biology, Albert Ludwigs University, Freiburg, Germany
    Neural Comput 20:2185-226. 2008
    ..The consequences of Dale's principle on correlations and rate fluctuations are discussed in the light of recent experimental findings...

Research Grants16

  1. PRODUCTION AND SCREENING OF MOUSE NEUROLOGICAL MUTATIONS
    WAYNE FRANKEL; Fiscal Year: 2004
    ..We aim to place new neurological models per year into hands of the scientific community, and to preserve several hundred additional potential ..
  2. EPILEPSY AS A NEUROLOGICAL MODEL OF SCHIZOPHRENIA
    Laura Marsh; Fiscal Year: 2000
    ..Hypothesis 3: Positive symptoms in ISZ and ESZ are related to neocortical temporal lobe MRI abnormalities; negative symptoms in ISZ and ESZ are correlated with frontal lobe abnormalities. ..
  3. Drug Abuse, Social Decision-Making, and Sex-Related Functional Brain Asymmetry
    DANIEL T TRANEL; Fiscal Year: 2010
    ..abstract_text> ..
  4. ENVIRONMENTAL CONTROL OF CORTICAL PLASTICITY
    GEORGE MOWER; Fiscal Year: 1991
    ..Our proposed multidisciplinary approach directly addresses the ways in which the environment controls the physiology, anatomy and biochemistry of the developing nervous system...
  5. Neural Substrates of Executive Control Revealed by FMRI
    Daniel Weissman; Fiscal Year: 2006
    ..normal patterns of brain activity for executive processing in non-addicts, this project will inform current neurological models of executive control, indicate possible brain regions to target when developing treatments for drug ..
  6. Ontogenetic changes in ethanol's motivational properties: Involvement of the kapp
    Michael E Nizhnikov; Fiscal Year: 2010
    ..Furthermore, these studies will investigate possible effect of early ethanol exposure on the motivational properties of ethanol and kappa opioid system. ..
  7. A Spiking Model of Hippocampus for Guiding Behavior
    Michael Hasselmo; Fiscal Year: 2006
    ..U., which focuses on modeling operant tasks used in experimental studies of drug self-administration phenomena, in work supported by a supplement to a previous grant from NIDA. [unreadable] [unreadable]..
  8. Massaging Preterm Infants Enhances Growth
    Tiffany Field; Fiscal Year: 2006
    ..abstract_text> ..
  9. MICROVASCULAR OCCLUSION IN ACUTE FOCAL CEREBRAL ISCHEMIA
    Gregory Del Zoppo; Fiscal Year: 2004
    ..These studies are a direct extension of completed work of this proposal, and are expected to add greatly to the understanding of how vascular ischemia affects neuron integrity with testable treatment strategies. ..
  10. Inferring Cortical Feed-Forward and Feedback Processes with Human Neuroimaging
    SEPPO AHLFORS; Fiscal Year: 2009
    ..It could lead to a better understanding of the neural mechanisms underlying cognitive functions, as well as to potential applications for revealing mechanisms of neural disorders. ..
  11. Spectral and temporal interactions in the awake marmoset inferior colliculus
    Paul Nelson; Fiscal Year: 2008
    ..unreadable] [unreadable] [unreadable] [unreadable]..
  12. CORTICOLIMBIC ABNORMALITIES IN SCHIZOPHRENIC BRAIN
    Francine Benes; Fiscal Year: 2001
    ....
  13. fMRI studies of semantic and episodic memory retrieval
    Lee Ryan; Fiscal Year: 2007
    ..The study will not only directly test some of the assertions from MTT, but it will also provide important information regarding the neural mechanisms underlying long-term storage and retrieval in humans. [unreadable] [unreadable]..
  14. Modulation of AMPA-Type Receptor Trafficking in Aplysia
    David Glanzman; Fiscal Year: 2007
    ..Furthermore, the laboratories of the collaborators have the necessary equipment for the proposed research. ..
  15. Stem Cell-Seeded ECM Scaffolds for Neurotransplantation
    MICHELLE LAPLACA; Fiscal Year: 2004
    ..abstract_text> ..
  16. Cortical Responses To Single & Multi-Site Skin Stimuli
    Mark Tommerdahl; Fiscal Year: 2005
    ....