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Xiao-Jing Wang, Ph.D.(计算神经科学领域的华人)

时间:2004-04-13 14:08来源:本站原创 作者:admin 点击: 2281次

Xiao-Jing Wang
Professor of Neurobiology
» Neuroscience »
B.S. University of Brussels, Belgium 1983; Ph. D. University of Brussels, Belgium 1987  

Research Directions

We work on neural computation and memory in cortical circuits. Using a modeling approach, at the interface between systems neuroscience and cellular neurophysiology, our goal is to uncover the principles of cortical functions in terms of cellular mechanisms, network connectivity, and large-scale population dynamics. We emphasize close collaboration with experimental laboratories.

Biophysical mechanisms of working memory.

A major focus of our research is working memory, the brain's ability to hold and manipulate information on-line while ignoring distractions from the external world. The obligatory physical processes underlying working memory are persistent neural firing patterns that are self-sustained internally in a recurrent network. In collaboration with physiology labs, we develop biophysically realistic models to elucidate the synaptic and cellular mechanisms of stimulus-specific persistent activity underlying working memory, especially in the prefrontal cortex (see movie of our spatial working memory model).

Cognitive functions of working memory circuits.

We investigate the operations of reverberatory cortical networks characterized by neural integration and persistent activity. In particular, we study how a reverberatory network is able to subserve perceptual decision making (which requires slow integration of ambiguous sensory data and formation of a categorical decision); or selective attention by providing a sustained top-down signal (by virtue of persistent activity) to sensory systems.

Physiology and computation of single neurons/synapses.

We are interested in the cellular mechanism and computational power of bursting firing patterns, and in the neuronal and synaptic dynamics that underlie perceptual adaptation. Furthermore, we combine experimental, biophysical modeling, and information theory approaches to test the hypothesis that the same adaptation mechanisms can reduce redundancy of sensory data, thereby decorrelating the inputs and contributing to efficient neural coding of the external world.

Neural rhythms and synchronization.

Coherent oscillations represent a commonly observed network phenomenon in the brain. We have previously discovered that mutual inhibition between interneurons provides a sychronizing mechanism for coupled neurons. We pursue our work in this direction, and advance biophysical models and analytical theory for various types of brain rhythms, including sleep oscillations in the thalamus, gamma oscillations during waking states, slow (< 1 Hz) oscillations and wave propagation in the neocortex, and theta oscillations in the limbic system.
Sample of Recent Publications:

2007 [top]

  • Ardid S, Wang X-J, Compte A (2007) [PDF] [Supplementary]
    An Integrated Microcircuit Model of Attentional Processing in the Neocortex.
    J. Neurosci., 27(32): 8486-8495
  • Fusi S., Asaad WF, Miller EK, Wang XJ (2007) [PDF]
    A Neural Circuit Model of Flexible Sensorimotor Mapping: Learning and Forgetting on Multiple Timescales.
    Neuron, 54:319-333

  • Renart A, Moreno-Bote R, Wang X-J, Parga N (2007) [PDF]
    Mean-Driven and Fluctuation-Driven Persistent Activity in Recurrent Networks.
    Neural Computation, 19:1-46

2006 [top]

  • Wang X-J (2006) [PDF]
    Introduction to Computational Neuroscience.
  • Soltani A, Lee D and Wang X-J (2006) [PDF]
    Neural Mechanism for Stochastic Behavior During a Competitive Game.
    Neural Networks, 19(8):1075-90

  • Miller P and Wang X-J (2006) [PDF]
    Stability of discrete memory states to stochastic fluctuations in neuronal systems
    Chaos, 16: 026109
  • Lo C-C and Wang X-J (2006) [PDF] [Supplementary]
    Cortico-basal ganglia circuit mechanism for a decision threshold in reaction time tasks.
    Nat. Neurosci., 9: 956-963
    News and Views by Kiani R, Hanks TD and Shadlen MN (2006) [PDF]
    When is enough enough? Nat. Neurosci., 9: 861-863

  • Wang X-J (2006) [PDF]
    Toward a Prefrontal Microcircuit Model for Cognitive Deficits in Schizophrenia.
    Pharmacopsychiatry, 39 Suppl 1:S80-S87

  • Soltani A and Wang X-J (2006) [PDF] [Supplementary]
    A Biophysically-based Neural Model of Matching Law Behavior: Melioration by Stochastic Synapses.
    J. Neurosci., 26:3731-3744

  • Miller P and Wang X-J (2006) [PDF]
    Power-law Neuronal Fluctuations in a Recurrent Network Model of Parametric Working Memory.
    J. Neurophysiol., 95(2):1099-1114

  • Wong K-F and Wang X-J (2006) [PDF] [Supplementary]
    A Recurrent Network Mechanism of Time Integration in Perceptual Decisions.
    J. Neurosci., 26:1314-1328

  • Miller P and Wang X-J (2006) [PDF] [Supporting Information]
    Inhibitory Control by an Integral Feedback Signal in Prefrontal Cortex: a Model of Discrimination between Sequential Stimuli.
    PNAS, 103:201-206

  • Compte A and Wang X-J (2006) [PDF]
    Tuning Curve Shift by Attention Modulation in Cortical Neurons: a Computational Study of its Mechanisms.
    Cerebral Cortex, 16: 761-778

  • Wang X-J (2006) [PDF]
    A Microcircuit Model of Prefrontal Functions: Ying and Yang of Reverberatory Neurodynamics in Cognition.
    In The Prefrontal Lobes: Development, Function and Pathology, Edited by J Risberg, J Grafman and F Boller, Cambridge University Press.

2005 [top]

  • Geisler C, Brunel N, Wang X-J (2005) [PDF]
    Contributions of intrinsic membrane dynamics to fast network oscillations with irregular neuronal discharges.
    J. Neurophysiol., 94:4344-4361

  • Wang X-J (2005) [PDF]
    Discovering spatial working memory fields in prefrontal cortex.
    J. Neurophysiol., 93:3027-3028

  • Miller P, Zhabotinsky AM, Lisman JE, Wang X-J (2005) [PDF]
    The Stability of a Stochastic CaMKII Switch: Dependence on the Number of Enzyme Molecules and Protein Turnover.
    PLoS Biol. 3:e107

  • Song P, Wang X-J (2005) [PDF] [QuickTime Movie] [C++ Code]
    Angular Path Integration by Moving "Hill of Activity": A Spiking Neuron Model without Recurrent Excitation of the Head-Direction System.
    J. Neurosci., 25:1002-1014

2004 [top]

  • Constantinidis C, Wang X-J (2004) [PDF]
    A neural circuit basis for spatial working memory.
    Neuroscientist 10, 553-565

  • Buzsaki G, Geisler C, Henze DA, Wang X-J (2004) [PDF]
    Interneuron Diversity series: Circuit complexity and axon wiring economy of cortical interneurons.
    Trends in Neurosci., 27, 186-93

  • Wang X-J, Tegner J, Constantinidis C, Goldman-Rakic PS (2004) [PDF] [Supporting Text]
    Division of labor among distinct subtypes of inhibitory neurons in a cortical microcircuit of working memory.
    Proc. Natl. Acad. Sci. (USA), 101, 1368-1373

2003 [top]

  • Wang X-J (2003) [PDF]
    Neural Oscillations.
    in Encyclopedia of Cognitive Science, MacMillan Reference Ltd, 2003

  • Compte A, Constantinidis C, Tegner J, Raghavachari S, Chafee MV, Goldman-Rakic PS and Wang X-J (2003) [PDF]
    Temporally irregular mnemonic persistent activity in prefrontal neurons of monkeys during a delayed response task.
    J. Neurophysiol., 90, 3441-3454

  • Renart A, Brunel N and Wang X-J (2003) [PDF] [Book Cover]
    Mean-field theory of recurrent cortical networks: from irregularly spiking neurons to working memory.
    in Computational Neuroscience: A Comprehensive Approach., J. Feng Ed., CRC Press, Boca Raton.

  • Renart A, Song P and Wang X-J (2003) [PDF]
    Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks.
    Neuron, 38, 473-485

  • Brunel N and Wang X-J (2003) [PDF]
    What determines the frequency of fast network oscillations with irregular neural discharges? I. Synaptic dynamics and excitation-inhibition balance.
    J. Neurophysiol., 90, 415-430

  • Wang X-J, Liu Y, Sanchez-Vives MV and McCormick DA (2003) [PDF]
    Adaptation and temporal decorrelation by single neurons in the primary visual cortex.
    J. Neurophysiol., 89, 3279-3293

  • Compte A, Sanchez-Vives MV, McCormick DA and Wang X-J (2003) [PDF]
    Cellular and network mechanisms of slow oscillatory activity (< 1 Hz) in a cortical network model.
    J. Neurophysiol., 89, 2707-2725

  • Miller P, Brody CD, Romo R and Wang X-J (2003) [PDF] [ERRATUM]
    A recurrent network model of somatosensory parametric working memory in the prefrontal cortex.
    Cerebral Cortex, 13, 1208-1218

2002 [top]

  • Wang X-J (2002) [PDF]
    Probabilistic decision making by slow reverberation in cortical circuits.
    Neuron, 36, 955-968

  • Kepecs A, Wang X-J and Lisman J (2002) [PDF]
    Slope detection by bursts: a dendritic computation.
    J. Neurosci., 22, 9053-9062

  • Tegner J, Compte A and Wang X-J (2002) [PDF]
    The dynamical stability of reverberatory neural circuits.
    Biol. Cybern., 87, 471-481

  • Wang X-J (2002) [PDF]
    Pacemaker neurons for the theta rhythm and their synchronization in the septohippocampal reciprocal loop.
    J Neurophysiol., 87, 889-900.

2001 [top]

  • Wang X-J (2001a) [PDF]
    Synaptic reverberation underlying mnemonic persistent activity.
    Trends in Neurosci. 24, 455-463

  • Brunel N and Wang X-J (2001) [PDF] [PS]
    Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition.
    J. Comput. Neurosci. 11, 63-85.

  • Liu YH and Wang X-J (2001) [PDF] [PS]
    Spike-frequency adaptation of a generalized integrate-and fire model neuron.
    J. Comput. Neurosci., 10, 25-45

2000 [top]

  • Kepecs A and Wang X-J (2000) [PDF]
    Analysis of complex bursting in cortical pyramidal neuron models.Neurocomputing. 32-33, 181-187.

  • Compte A, Brunel N, Goldman-Rakic PS and Wang X-J (2000) [PDF]
    Synaptic mechanisms and network dynamics underlying visuospatial working memory in a cortical network model.
    Cerebral Cortex 10, 910-923

  • Hempel CM, Hartman KH, Wang X-J, Turrigiano GG and Nelson SB (2000) [PDF]
    Multiple forms of short-term plasticity at excitatory synapses in rat medial prefrontal cortex.
    J. Neurophysiol. 83, 3031-3041.

  • Matveev V and Wang X-J (2000a) [PDF]
    Implications of all-or-none synaptic transmission and short-term depression beyond vesicle depletion: a computational study.
    J. Neurosci. 20, 1575-1588.

  • Matveev V and Wang X-J (2000b) [PDF]
    Differential short-term synaptic plasticity and transmission of complex spike trains: to depress or to facilitate?
    Cerebral Cortex. 10, 1143-1153.

1999 [top]

  • Wang X-J (1999a) [PDF]
    Fast burst firing and short-term synaptic plasticity: a model of neocortical chattering neurons.
    Neuroscience 89:347-362.

  • Wang X-J (1999b) [PDF]
    Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory.
    J. Neurosci. 19, 9587-9603.

1998 [top]

  • Chen Z, Ermentrout GB and Wang X-J (1998) [PDF]
    Wave propagation mediated by GABAB synapse and rebound excitation in an inhibitory network: a reduced model approach.
    J. Comput. Neurosci. 5, 53-69.

  • Rinzel J, Terman D, Wang X-J and Ermentrout GB (1998) [PDF]
    Propagating activity patterns in large-scale inhibitory neuronal networks.
    Science 279, 1351-1355.

  • Kamondi A., Acsady L., Wang X-J, Buzsaki G (1998) [PDF]
    Theta oscillations in somata and dendrites of hippocampal pyramidal cells in viv activity-dependent phase-precession of action potentials. Hippocampus8:244-261.

  • Lisman JE, Fellous J-M, Wang X-J (1998) [PDF]
    A role for NMDA-receptor channels in working memory.
    Nat. Neurosci. 1:273-275.

  • Camperi M, Wang X-J (1998) [PDF] [PS]
    A model of visuospatial working memory in prefrontal cortex: recurrent network and cellular bistability.
    J. Comput. Neurosci. 5:383-405.

  • Wang X-J (1998) [PDF]
    Calcium coding and adaptive temporal computation in cortical pyramidal neurons.
    J. Neurophysiol. 79: 1549-1566.

1997 [top]

  • Camperi M and Wang X-J (1997)
    Modeling delay-period activity in the prefrontal cortex during working memory tasks.
    in Computational Neuroscience: Trends in Research 1997 J. Bower ed., Plenum Press, pp. 273-279.

1996 [top]

  • Golomb D, Wang X-J, Rinzel J (1996) [PDF]
    Propagation of spindle waves in a thalamic slice model.
    J. Neurophysiol. 75:750-769.

  • Wang, X-J and Buzsáki G (1996) [PDF]
    Gamma oscillations by synaptic inhibition in a hippocampal interneuronal network.
    J. Neurosci. 16, 6402-6413.

1995 [top]

  • Golomb D, Wang X-J, and Rinzel J (1995)
    Partial and full synchrony of thalamic spindle oscillations,
    In Computation in Neurons and Neural Systems, edited by J. Bower. Boston, MA: Kluwer, 1995, p. 215-220.

  • Wang X-J and Rinzel J (1995) [PDF]
    Oscillatory and Bursting Properties of Neurons.
    in Handbook of Brain Theory and Neural Networks, edited by M. Arbib, MIT press, 686-691.

  • Wang, X-J, Golomb, D. and Rinzel, J. (1995) [PDF]
    Emergent spindle oscillations and intermittent burst firing in a thalamic model: specific neuronal mechanisms.
    Proc. Natl. Acad. Sci.(USA) 92, 5577-5581.

1994 [top]

  • Llinás RR, Ribary U, Joliot M and Wang X-J(1994)
    Content and context in temporal thalamocortical binding.
    in Temporal Coding in the Brain, G. Buzsáki, R.R. Llinás, W. Singer et al. eds., Springer-Verlag, 251-272.

  • Golomb D, Wang X-J and Rinzel J (1994) [PDF]
    Synchronization properties of spindle oscillations in a thalamic reticular nucleus model.
    J. Neurophysiol. 72, 1109-1126.

  • Wang X-J (1994)
    Multiple dynamical modes of thalamic relay neurons: rhythmic bursting and intermittent phase-locking.
    Neuroscience 59, 21-31.

1993 [top]

  • Wang X-J and Rinzel J (1993) [PDF Scan]
    Spindle rhythmicity in the reticularis thalami nucleus: synchronization among mutually inhibitory neurons.
    Neuroscience 53, 899-904.

  • Wang X-J (1993)
    Genesis of bursting oscillations in the Hindmarsh-Rose model and homoclinicity to a chaotic saddle.
    Physica D, Special Issue on Homoclinic Chaos, 62, 263-274.

  • Wang X-J (1993) [PDF Scan]
    Ionic basis for intrinsic 40 Hz neuronal oscillations.
    NeuroReport 5, 221-224.

1992 [top]

  • Wang X-J and Rinzel J (1992) [PDF Scan]
    Alternating and synchronous rhythms in reciprocally inhibitory model neurons.
    Neural Computat. 4, 84-97.

1991 [top]

  • Wang X-J. (1991)
    Spontaneous activity in a large neural net: between chaos and noise. in Self-Organization, Emergent Properties and Learning edited by A. Babloyantz, Plenum Press , 155-160.

  • Wang X-J, Rinzel J and Rogawski MA. (1991)
    Low threshold spikes and rhythmic oscillations in thalamic neurons. in Analysis and Modeling of Neural Systems edited by F. H. Eeckman et al , 85-91.

  • Wang X-J, Rinzel J and Rogawski MA. (1991) [PDF]
    A model of the T-type calcium current and the low-threshold spike in thalamic neurons.
    J. Neurophysiol 66, 839-850.

Publications in Physics [top]

  • Wang X-J (1995)
    Sporadic chaos in spacetime dynamical processes.
    Phys. Rev. E 52, 1318-1324.

  • Wang X-J and Hu C-K (1993)
    Anomalous diffusion in dynamical systems: transport coefficients of all order.
    Phys. Rev. E 48, 728-733.

  • Gaspard P and Wang X-J (1993) [PDF]
    Noise, chaos, and $(\tau, \epsilon)$-entropy per unit time.
    Phys. Rep. 235, issue 6, 321-373.

  • Wang X-J and Gaspard P (1992)
    Epsilon-entropy analysis for a time series of thermal turbulence.
    Phys. Rev. A Rapid Communications 46, R3000-3003.

  • Wang X-J (1992)
    Dynamical sporadicity and anomalous diffusion the Levy motion.
    Phys. Rev. A 45, 8407-8417.

  • Wang X-J and Gaspard P(1990)
    Homoclinicity and multi-modal periodic or chaotic oscillations in chemical kinetics.
    in Spatial Inhomogeneity and Transient Behaviours in Chemical Kinetics , edited by P. Gray et al, Manchester University Press, 687-690.

  • Wang X-J (1990)
    Intermittent fluctuations and complexity.
    in Complexity, Entropy, and the Physics of Information, SFI Studies in the Sciences of Complexity, vol. VIII , edited by W. H. Zurek, Addison-Wesley (1990), p. 319-329.

  • Wang X-J (1990)
    The Newhouse set has a positive Hausdorff dimension.
    Commun. Math. Phys. 131, 317-332.

  • Wang X-J (1989)
    Statistical physics of temporal intermittency.
    Phys. Rev. A 40, 6647-6661.

  • Wang X-J (1989)
    Abnormal fluctuations and thermodynamic phase transition in dynamical systems.
    Phys. Rev. A. Rapid Communications 39, 3214-3217.

  • Wang X-J (1989)
    Chaotic oscillations of cool flames.
    Combustion and Flame 75, 107-109.

  • Gaspard P and Wang X-J (1988) [PDF]
    Sporadicity: between periodic and chaotic dynamical systems.
    Proc. Natl. Acad. Sci. (USA) 85, 4591-4595

  • Gaspard P and Wang X-J (1987)
    Homoclinic orbits and mixed-mode oscillations in far from equilibrium systems.
    J. Stat. Phys. 48, 151-199.

  • Wang X-J and Nicolis G (1987)
    Bifurcation phenomena in coupled chemical oscillators: normal form analysis and numerical simulations.
    Physica D 26, 140-155.

  • Wang X-J and Mou CY (1985) [PDF]
    A thermokinetic model of complex oscillations in gaseous hydrocarbon oxidation.
    J. Chem. Phys. 83, 4554-4561.

  • Wang X-J (1985)
    Chaotic phenomena in dissipative systems.
    Physics (Beijing) 14, 199-205 (in Chinese).
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