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Volumn 1434, Issue , 2012, Pages 212-225

Cortical attractor network dynamics with diluted connectivity

Author keywords

Attractor network; Decision making; Diluted connectivity; Fano factor; Neural encoding; Noise; Stochastic neurodynamics; Variability of firing

Indexed keywords

BRAIN CORTEX; CONFERENCE PAPER; DECISION MAKING; EPILEPSY; HIPPOCAMPUS; MEMORY; MENTAL PERFORMANCE; NEOCORTEX; NERVE CELL NETWORK; POSITIVE FEEDBACK; PRIORITY JOURNAL; PYRAMIDAL NERVE CELL; SCHIZOPHRENIA; SIMULATION; SYNAPSE;

EID: 84856605915     PISSN: 00068993     EISSN: 18726240     Source Type: Journal    
DOI: 10.1016/j.brainres.2011.08.002     Document Type: Conference Paper
Times cited : (25)

References (78)
  • 2
    • 0000438415 scopus 로고    scopus 로고
    • Dynamics of a recurrent network of spiking neurons before and following learning
    • PII S0954898X97832824
    • D.J. Amit, and N. Brunel Dynamics of a recurrent network of spiking neurons before and following learning Network 8 1997 373 404 (Pubitemid 127717691)
    • (1997) Network: Computation in Neural Systems , vol.8 , Issue.4 , pp. 373-404
    • Amit, D.J.1    Brunel, N.2
  • 4
    • 21144472996 scopus 로고
    • Rigorous bounds on the storage capacity of the dilute Hopfield model
    • A. Bovier, and V. Gayrard Rigorous bounds on the storage capacity of the dilute Hopfield model J. Stat. Phys. 69 1992 597 627
    • (1992) J. Stat. Phys. , vol.69 , pp. 597-627
    • Bovier, A.1    Gayrard, V.2
  • 6
    • 77954383378 scopus 로고    scopus 로고
    • Attractors and noise: Twin drivers of decisions and multistability
    • J. Braun, and M. Mattia Attractors and noise: twin drivers of decisions and multistability Neuroimage 52 2010 740 751
    • (2010) Neuroimage , vol.52 , pp. 740-751
    • Braun, J.1    Mattia, M.2
  • 7
    • 78651317616 scopus 로고    scopus 로고
    • Metastable states and quasicycles in a stochastic Wilson-Cowan model of neuronal population dynamics
    • P.C. Bressloff Metastable states and quasicycles in a stochastic Wilson-Cowan model of neuronal population dynamics Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 82 2010 051903
    • (2010) Phys. Rev. e Stat. Nonlin. Soft Matter Phys. , vol.82 , pp. 051903
    • Bressloff, P.C.1
  • 8
    • 0034814469 scopus 로고    scopus 로고
    • Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition
    • DOI 10.1023/A:1011204814320
    • N. Brunel, and X.J. Wang Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition J. Comput. Neurosci. 11 2001 63 85 (Pubitemid 32926844)
    • (2001) Journal of Computational Neuroscience , vol.11 , Issue.1 , pp. 63-85
    • Brunel, N.1    Wang, X.-J.2
  • 9
    • 33745712258 scopus 로고    scopus 로고
    • A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input
    • DOI 10.1007/s00422-006-0068-6
    • A.N. Burkitt A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input Biol. Cybern. 95 2006 1 19 (Pubitemid 43999784)
    • (2006) Biological Cybernetics , vol.95 , Issue.1 , pp. 1-19
    • Burkitt, A.N.1
  • 10
    • 0031277463 scopus 로고    scopus 로고
    • Distributed learning, recognition, and prediction by ART and ARTMAP neural networks
    • DOI 10.1016/S0893-6080(97)00004-X, PII S089360809700004X
    • G.A. Carpenter Distributed learning, recognition and prediction by ART and ARTMAP neural networks Neural Netw. 10 8 1997 1473 1494 (Pubitemid 28260898)
    • (1997) Neural Networks , vol.10 , Issue.8 , pp. 1473-1494
    • Carpenter, G.A.1
  • 11
    • 68949163553 scopus 로고    scopus 로고
    • A simple two-stage model predicts response time distributions
    • R.H. Carpenter, B.A. Reddi, and A.J. Anderson A simple two-stage model predicts response time distributions J. Physiol. 587 2009 4051 4062
    • (2009) J. Physiol. , vol.587 , pp. 4051-4062
    • Carpenter, R.H.1    Reddi, B.A.2    Anderson, A.J.3
  • 14
    • 33747252187 scopus 로고    scopus 로고
    • A neurophysiological model of decision-making and Weber's law
    • G. Deco, and E.T. Rolls A neurophysiological model of decision-making and Weber's law Eur. J. Neurosci. 24 2006 901 916
    • (2006) Eur. J. Neurosci. , vol.24 , pp. 901-916
    • Deco, G.1    Rolls, E.T.2
  • 15
    • 35448992955 scopus 로고    scopus 로고
    • Weber's law in decision making: Integrating behavioral data in humans with a neurophysiological model
    • DOI 10.1523/JNEUROSCI.1072-07.2007
    • G. Deco, L. Scarano, and S. Soto-Faraco Weber's law in decision making: integrating behavioral data in humans with a neurophysiological model J. Neurosci. 27 2007 11192 11200 (Pubitemid 47628521)
    • (2007) Journal of Neuroscience , vol.27 , Issue.42 , pp. 11192-11200
    • Deco, G.1    Scarano, L.2    Soto-Faraco, S.3
  • 16
    • 65049089933 scopus 로고    scopus 로고
    • Stochastic dynamics as a principle of brain function
    • G. Deco, E.T. Rolls, and R. Romo Stochastic dynamics as a principle of brain function Prog. Neurobiol. 88 2009 1 16
    • (2009) Prog. Neurobiol. , vol.88 , pp. 1-16
    • Deco, G.1    Rolls, E.T.2    Romo, R.3
  • 17
    • 33845610186 scopus 로고    scopus 로고
    • Evidence for time-variant decision making
    • DOI 10.1111/j.1460-9568.2006.05221.x
    • J. Ditterich Evidence for time-variant decision making Eur. J. Neurosci. 24 2006 3628 3641 (Pubitemid 44952628)
    • (2006) European Journal of Neuroscience , vol.24 , Issue.12 , pp. 3628-3641
    • Ditterich, J.1
  • 20
    • 34249705194 scopus 로고    scopus 로고
    • Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex
    • DOI 10.1007/s00422-007-0149-1
    • L. Franco, E.T. Rolls, N.C. Aggelopoulos, and J.M. Jerez Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex Biol. Cybern. 96 2007 547 560 (Pubitemid 46835373)
    • (2007) Biological Cybernetics , vol.96 , Issue.6 , pp. 547-560
    • Franco, L.1    Rolls, E.T.2    Aggelopoulos, N.C.3    Jerez, J.M.4
  • 21
    • 68249126130 scopus 로고    scopus 로고
    • Bistable perception modeled as competing stochastic integrations at two levels
    • G. Gigante, M. Mattia, J. Braun, and P. Del Giudice Bistable perception modeled as competing stochastic integrations at two levels PLoS Comput. Biol. 5 2009 e1000430
    • (2009) PLoS Comput. Biol. , vol.5 , pp. 1000430
    • Gigante, G.1    Mattia, M.2    Braun, J.3    Del Giudice, P.4
  • 23
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • J.J. Hopfield Neural networks and physical systems with emergent collective computational abilities Proc. Natl. Acad. Sci. U.S.A. 79 1982 2554 2558
    • (1982) Proc. Natl. Acad. Sci. U.S.A. , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 24
    • 0034153464 scopus 로고    scopus 로고
    • Dynamics of encoding in neuron populations: Some general mathematical features
    • B. Knight Dynamics of encoding in neuron populations: some general mathematical features Neural Comput. 12 2000 473 518
    • (2000) Neural Comput. , vol.12 , pp. 473-518
    • Knight, B.1
  • 25
    • 36949035385 scopus 로고    scopus 로고
    • A dynamical systems hypothesis of schizophrenia
    • DOI 10.1371/journal.pcbi.0030228
    • M. Loh, E.T. Rolls, and G. Deco A dynamical systems hypothesis of schizophrenia PLoS Comput. Biol. 3 2007 e228 10.1371/journal.pcbi.0030228 (Pubitemid 350241949)
    • (2007) PLoS Computational Biology , vol.3 , Issue.11 , pp. 2255-2265
    • Loh, M.1    Rolls, E.T.2    Deco, G.3
  • 27
    • 49749152738 scopus 로고    scopus 로고
    • A fluctuation-driven mechanism for slow decision processes in reverberant networks
    • 10.1371/journal.pone.0002534
    • D. Marti, G. Deco, M. Mattia, G. Gigante, and P. Del Giudice A fluctuation-driven mechanism for slow decision processes in reverberant networks PLoS One 3 2008 e2534 10.1371/journal.pone.0002534
    • (2008) PLoS One , vol.3 , pp. 2534
    • Marti, D.1    Deco, G.2    Mattia, M.3    Gigante, G.4    Del Giudice, P.5
  • 28
    • 85036133906 scopus 로고    scopus 로고
    • Population dynamics of interacting spiking neurons
    • M. Mattia, and P. Del Giudice Population dynamics of interacting spiking neurons Phys. Rev. E 66 2002 051917
    • (2002) Phys. Rev. e , vol.66 , pp. 051917
    • Mattia, M.1    Del Giudice, P.2
  • 29
    • 41349123474 scopus 로고    scopus 로고
    • Finite-size dynamics of inhibitory and excitatory interacting spiking neurons
    • M. Mattia, and P. Del Giudice Finite-size dynamics of inhibitory and excitatory interacting spiking neurons Phys. Rev. E 70 2004 052903
    • (2004) Phys. Rev. e , vol.70 , pp. 052903
    • Mattia, M.1    Del Giudice, P.2
  • 30
    • 33646812246 scopus 로고    scopus 로고
    • Analysis of spike statistics in neuronal systems with continuous attractors or multiple, discrete attractor states
    • DOI 10.1162/neco.2006.18.6.1268
    • P. Miller Analysis of spike statistics in neuronal systems with continuous attractors or multiple, discrete attractor states Neural Comput. 18 2006 1268 1317 (Pubitemid 43765445)
    • (2006) Neural Computation , vol.18 , Issue.6 , pp. 1268-1317
    • Miller, P.1
  • 31
    • 77249164196 scopus 로고    scopus 로고
    • Stochastic transitions between neural states in taste processing and decision-making
    • P. Miller, and D.B. Katz Stochastic transitions between neural states in taste processing and decision-making J. Neurosci. 30 2010 2559 2570
    • (2010) J. Neurosci. , vol.30 , pp. 2559-2570
    • Miller, P.1    Katz, D.B.2
  • 32
    • 33644851076 scopus 로고    scopus 로고
    • Power-law neuronal fluctuations in a recurrent network model of parametric working memory
    • DOI 10.1152/jn.00491.2005
    • P. Miller, and X.J. Wang Power-law neuronal fluctuations in a recurrent network model of parametric working memory J. Neurophysiol. 95 2006 1099 1114 (Pubitemid 44699107)
    • (2006) Journal of Neurophysiology , vol.95 , Issue.2 , pp. 1099-1114
    • Miller, P.1    Wang, X.-J.2
  • 33
    • 77956003389 scopus 로고    scopus 로고
    • Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators
    • R. Moreno-Bote Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators Neural Comput. 22 2010 1786 1811
    • (2010) Neural Comput. , vol.22 , pp. 1786-1811
    • Moreno-Bote, R.1
  • 34
    • 32644485094 scopus 로고    scopus 로고
    • Auto- and crosscorrelograms for the spike response of leaky integrate-and-fire neurons with slow synapses
    • R. Moreno-Bote, and N. Parga Auto- and crosscorrelograms for the spike response of leaky integrate-and-fire neurons with slow synapses Phys. Rev. Lett. 96 2006 028101
    • (2006) Phys. Rev. Lett. , vol.96 , pp. 028101
    • Moreno-Bote, R.1    Parga, N.2
  • 35
    • 27244459721 scopus 로고    scopus 로고
    • The effect of stimulus strength on the speed and accuracy of a perceptual decision
    • DOI 10.1167/5.5.1, 1
    • J. Palmer, A.C. Huk, and M.N. Shadlen The effect of stimulus strength on the speed and accuracy of a perceptual decision J. Vis. 5 2005 376 404 (Pubitemid 41519235)
    • (2005) Journal of Vision , vol.5 , Issue.5 , pp. 376-404
    • Palmer, J.1    Huk, A.C.2    Shadlen, M.N.3
  • 37
    • 79955101961 scopus 로고    scopus 로고
    • A synaptic organizing principle for cortical neuronal groups
    • R. Perin, T.K. Berger, and H. Markram A synaptic organizing principle for cortical neuronal groups Proc. Natl. Acad. Sci. U.S.A. 108 2011 5419 5424
    • (2011) Proc. Natl. Acad. Sci. U.S.A. , vol.108 , pp. 5419-5424
    • Perin, R.1    Berger, T.K.2    Markram, H.3
  • 38
    • 41849150773 scopus 로고    scopus 로고
    • The diffusion decision model: Theory and data for two-choice decision tasks
    • R. Ratcliff, and G. McKoon The diffusion decision model: theory and data for two-choice decision tasks Neural Comput. 20 2008 873 922
    • (2008) Neural Comput. , vol.20 , pp. 873-922
    • Ratcliff, R.1    McKoon, G.2
  • 39
    • 0039052586 scopus 로고    scopus 로고
    • Modeling response times for two-choice decisions
    • R. Ratcliff, and J.F. Rouder Modeling response times for two-choice decisions Psychol. Sci. 9 1998 347 356
    • (1998) Psychol. Sci. , vol.9 , pp. 347-356
    • Ratcliff, R.1    Rouder, J.F.2
  • 40
    • 0033111505 scopus 로고    scopus 로고
    • Connectionist and diffusion models of reaction time
    • R. Ratcliff, T.V. Zandt, and G. McKoon Connectionist and diffusion models of reaction time Psychol. Rev. 106 1999 261 300
    • (1999) Psychol. Rev. , vol.106 , pp. 261-300
    • Ratcliff, R.1    Zandt, T.V.2    McKoon, G.3
  • 41
    • 33845992188 scopus 로고    scopus 로고
    • Mean-driven and fluctuation-driven persistent activity in recurrent networks
    • A. Renart, R. Moreno-Bote, X.J. Wang, and N. Parga Mean-driven and fluctuation-driven persistent activity in recurrent networks Neural Comput. 19 2007 1 46
    • (2007) Neural Comput. , vol.19 , pp. 1-46
    • Renart, A.1    Moreno-Bote, R.2    Wang, X.J.3    Parga, N.4
  • 43
    • 79959433547 scopus 로고    scopus 로고
    • From the stochasticity of molecular processes to the variability of synaptic transmission
    • C. Ribrault, K. Sekimoto, and A. Triller From the stochasticity of molecular processes to the variability of synaptic transmission Nat. Rev. Neurosci. 12 2011 375 387
    • (2011) Nat. Rev. Neurosci. , vol.12 , pp. 375-387
    • Ribrault, C.1    Sekimoto, K.2    Triller, A.3
  • 44
    • 0036850727 scopus 로고    scopus 로고
    • Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task
    • J.D. Roitman, and M.N. Shadlen Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task J. Neurosci. 22 2002 9475 9489 (Pubitemid 35356190)
    • (2002) Journal of Neuroscience , vol.22 , Issue.21 , pp. 9475-9489
    • Roitman, J.D.1    Shadlen, M.N.2
  • 45
  • 47
    • 77954814641 scopus 로고    scopus 로고
    • A computational theory of episodic memory formation in the hippocampus
    • E.T. Rolls A computational theory of episodic memory formation in the hippocampus Behav. Brain Res. 215 2010 180 196
    • (2010) Behav. Brain Res. , vol.215 , pp. 180-196
    • Rolls, E.T.1
  • 49
    • 80052525135 scopus 로고    scopus 로고
    • Glutamate, obsessive-compulsive disorder, schizophrenia, and the stability of cortical attractor neuronal networks
    • Epub 23 June
    • E.T. Rolls Glutamate, obsessive-compulsive disorder, schizophrenia, and the stability of cortical attractor neuronal networks Pharmacol. Biochem. Behav. 2011 Epub 23 June
    • (2011) Pharmacol. Biochem. Behav.
    • Rolls, E.T.1
  • 51
    • 79960046671 scopus 로고    scopus 로고
    • A computational neuroscience approach to schizophrenia and its onset
    • E.T. Rolls, and G. Deco A computational neuroscience approach to schizophrenia and its onset Neurosci. Biobehav. Rev. 35 2011 1644 1653
    • (2011) Neurosci. Biobehav. Rev. , vol.35 , pp. 1644-1653
    • Rolls, E.T.1    Deco, G.2
  • 52
    • 0028963104 scopus 로고
    • Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex
    • E.T. Rolls, and M.J. Tovee Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex J. Neurophysiol. 73 1995 713 726
    • (1995) J. Neurophysiol. , vol.73 , pp. 713-726
    • Rolls, E.T.1    Tovee, M.J.2
  • 53
    • 0010325739 scopus 로고
    • The relative advantages of sparse versus distributed encoding for associative neuronal networks in the brain
    • E.T. Rolls, and A. Treves The relative advantages of sparse versus distributed encoding for associative neuronal networks in the brain Network 1 1990 407 421
    • (1990) Network , vol.1 , pp. 407-421
    • Rolls, E.T.1    Treves, A.2
  • 56
    • 0031442617 scopus 로고    scopus 로고
    • Simulation studies of the CA3 hippocampal subfield modelled as an attractor neural network
    • DOI 10.1016/S0893-6080(97)00092-0, PII S0893608097000920
    • E.T. Rolls, A. Treves, D. Foster, and C. Perez-Vicente Simulation studies of the CA3 hippocampal subfield modelled as an attractor neural network Neural Netw. 10 1997 1559 1569 (Pubitemid 28057265)
    • (1997) Neural Networks , vol.10 , Issue.9 , pp. 1559-1569
    • Rolls, E.T.1    Treves, A.2    Foster, D.3    Perez-Vicente, C.4
  • 57
    • 0030782448 scopus 로고    scopus 로고
    • Information in the neuronal representation of individual stimuli in the primate temporal visual cortex
    • DOI 10.1023/A:1008899916425
    • E.T. Rolls, A. Treves, M. Tovee, and S. Panzeri Information in the neuronal representation of individual stimuli in the primate temporal visual cortex J. Comput. Neurosci. 4 1997 309 333 (Pubitemid 27503442)
    • (1997) Journal of Computational Neuroscience , vol.4 , Issue.4 , pp. 309-333
    • Rolls, E.T.1    Treves, A.2    Tovee, M.J.3    Panzeri, S.4
  • 58
    • 33845456327 scopus 로고    scopus 로고
    • Entorhinal cortex grid cells can map to hippocampal place cells by competitive learning
    • DOI 10.1080/09548980601064846, PII J251N23L708854X2
    • E.T. Rolls, S.M. Stringer, and T. Elliot Entorhinal cortex grid cells can map to hippocampal place cells by competitive learning Netw. Comput. Neural Syst. 17 2006 447 465 (Pubitemid 44905324)
    • (2006) Network: Computation in Neural Systems , vol.17 , Issue.4 , pp. 447-465
    • Rolls, E.T.1    Stringer, S.M.2    Elliot, T.3
  • 59
    • 49249089111 scopus 로고    scopus 로고
    • An attractor hypothesis of obsessive-compulsive disorder
    • E.T. Rolls, M. Loh, and G. Deco An attractor hypothesis of obsessive-compulsive disorder Eur. J. Neurosci. 28 2008 782 793
    • (2008) Eur. J. Neurosci. , vol.28 , pp. 782-793
    • Rolls, E.T.1    Loh, M.2    Deco, G.3
  • 60
    • 49949101019 scopus 로고    scopus 로고
    • Computational models of schizophrenia and dopamine modulation in the prefrontal cortex
    • E.T. Rolls, M. Loh, G. Deco, and G. Winterer Computational models of schizophrenia and dopamine modulation in the prefrontal cortex Nat. Rev. Neurosci. 9 2008 696 709
    • (2008) Nat. Rev. Neurosci. , vol.9 , pp. 696-709
    • Rolls, E.T.1    Loh, M.2    Deco, G.3    Winterer, G.4
  • 61
    • 77956056690 scopus 로고    scopus 로고
    • Choice, difficulty, and confidence in the brain
    • E.T. Rolls, F. Grabenhorst, and G. Deco Choice, difficulty, and confidence in the brain Neuroimage 53 2010 694 706
    • (2010) Neuroimage , vol.53 , pp. 694-706
    • Rolls, E.T.1    Grabenhorst, F.2    Deco, G.3
  • 62
    • 78049516175 scopus 로고    scopus 로고
    • Decision-making, errors, and confidence in the brain
    • E.T. Rolls, F. Grabenhorst, and G. Deco Decision-making, errors, and confidence in the brain J. Neurophysiol. 104 2010 2359 2374
    • (2010) J. Neurophysiol. , vol.104 , pp. 2359-2374
    • Rolls, E.T.1    Grabenhorst, F.2    Deco, G.3
  • 63
    • 33749050766 scopus 로고    scopus 로고
    • Computational algorithms and neuronal network models underlying decision processes
    • DOI 10.1016/j.neunet.2006.05.034, PII S0893608006001687, Neurobiology and Decision Making
    • Y. Sakai, H. Okamoto, and T. Fukai Computational algorithms and neuronal network models underlying decision processes Neural Netw. 19 2006 1091 1105 (Pubitemid 44466350)
    • (2006) Neural Networks , vol.19 , Issue.8 , pp. 1091-1105
    • Sakai, Y.1    Okamoto, H.2    Fukai, T.3
  • 64
    • 1342343030 scopus 로고    scopus 로고
    • Psychology and neurobiology of simple decisions
    • DOI 10.1016/j.tins.2004.01.006
    • P. Smith, and R. Ratcliff Psychology and neurobiology of simple decisions Trends Neurosci. 23 2004 161 168 (Pubitemid 38251517)
    • (2004) Trends in Neurosciences , vol.27 , Issue.3 , pp. 161-168
    • Smith, P.L.1    Ratcliff, R.2
  • 65
    • 0027498486 scopus 로고
    • The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs
    • W.R. Softky, and C. Koch The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs J. Neurosci. 13 1993 334 350 (Pubitemid 23028748)
    • (1993) Journal of Neuroscience , vol.13 , Issue.1 , pp. 334-350
    • Softky, W.R.1    Koch, C.2
  • 66
    • 0037934185 scopus 로고
    • Dilution and sparse coding in threshold-linear nets
    • A. Treves Dilution and sparse coding in threshold-linear nets J. Phys. A Math. Gen. 24 1 1991 327 335
    • (1991) J. Phys. A Math. Gen. , vol.24 , Issue.1 , pp. 327-335
    • Treves, A.1
  • 67
    • 0000216612 scopus 로고
    • What determines the capacity of autoassociative memories in the brain?
    • A. Treves, and E.T. Rolls What determines the capacity of autoassociative memories in the brain? Network 2 1991 371 397
    • (1991) Network , vol.2 , pp. 371-397
    • Treves, A.1    Rolls, E.T.2
  • 68
    • 0028109694 scopus 로고
    • Computational analysis of the role of the hippocampus in memory
    • DOI 10.1002/hipo.450040319
    • A. Treves, and E.T. Rolls A computational analysis of the role of the hippocampus in memory Hippocampus 4 1994 374 391 (Pubitemid 24342370)
    • (1994) Hippocampus , vol.4 , Issue.3 , pp. 374-391
    • Treves, A.1    Rolls, E.T.2
  • 69
    • 0033109861 scopus 로고    scopus 로고
    • Firing rate distributions and efficiency of information transmission of inferior temporal cortex neurons to natural visual stimuli
    • A. Treves, S. Panzeri, E.T. Rolls, M. Booth, and E.A. Wakeman Firing rate distributions and efficiency of information transmission of inferior temporal cortex neurons to natural visual stimuli Neural Comput. 11 1999 601 631
    • (1999) Neural Comput. , vol.11 , pp. 601-631
    • Treves, A.1    Panzeri, S.2    Rolls, E.T.3    Booth, M.4    Wakeman, E.A.5
  • 70
    • 0020107035 scopus 로고
    • Effects of alternating set for speed or accuracy on response time, accuracy and confidence in a unidimensional discrimination task
    • D. Vickers, and J. Packer Effects of alternating set for speed or accuracy on response time, accuracy and confidence in a unidimensional discrimination task Acta Psychol. 50 1982 179 197
    • (1982) Acta Psychol. , vol.50 , pp. 179-197
    • Vickers, D.1    Packer, J.2
  • 71
    • 0033232525 scopus 로고    scopus 로고
    • Synaptic basis of cortical persistent activity: The importance of NMDA receptors to working memory
    • X.J. Wang Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory J. Neurosci. 19 1999 9587 9603
    • (1999) J. Neurosci. , vol.19 , pp. 9587-9603
    • Wang, X.J.1
  • 72
    • 0037028039 scopus 로고    scopus 로고
    • Probabilistic decision making by slow reverberation in cortical circuits
    • X.J. Wang Probabilistic decision making by slow reverberation in cortical circuits Neuron 36 2002 955 968
    • (2002) Neuron , vol.36 , pp. 955-968
    • Wang, X.J.1
  • 73
    • 53849125053 scopus 로고    scopus 로고
    • Decision making in recurrent neuronal circuits
    • X.J. Wang Decision making in recurrent neuronal circuits Neuron 60 2008 215 234
    • (2008) Neuron , vol.60 , pp. 215-234
    • Wang, X.J.1
  • 74
    • 84878067591 scopus 로고    scopus 로고
    • Noise in attractor networks in the brain produced by graded firing rate representations
    • in press
    • Webb, T.J., Rolls, E.T., Deco, G., Feng, J., in press. Noise in attractor networks in the brain produced by graded firing rate representations. PLoS One.
    • PLoS One
    • Webb, T.J.1    Rolls, E.T.2    Deco, G.3    Feng, J.4
  • 76
    • 70349170588 scopus 로고    scopus 로고
    • Temporal dynamics underlying perceptual decision making: Insights from the interplay between an attractor model and parietal neurophysiology
    • K.F. Wong, and A.C. Huk Temporal dynamics underlying perceptual decision making: insights from the interplay between an attractor model and parietal neurophysiology Front. Neurosci. 2 2008 245 254
    • (2008) Front. Neurosci. , vol.2 , pp. 245-254
    • Wong, K.F.1    Huk, A.C.2
  • 77
    • 32544439341 scopus 로고    scopus 로고
    • A recurrent network mechanism of time integration in perceptual decisions
    • DOI 10.1523/JNEUROSCI.3733-05.2006
    • K. Wong, and X.J. Wang A recurrent network mechanism of time integration in perceptual decisions J. Neurosci. 26 2006 1314 1328 (Pubitemid 43237063)
    • (2006) Journal of Neuroscience , vol.26 , Issue.4 , pp. 1314-1328
    • Wong, K.-F.1    Wang, X.-J.2
  • 78
    • 84882833313 scopus 로고    scopus 로고
    • Neural circuit dynamics underlying accumulation of time-varying evidence during perceptual decision making
    • K.F. Wong, A.C. Huk, M.N. Shadlen, and X.J. Wang Neural circuit dynamics underlying accumulation of time-varying evidence during perceptual decision making Front. Comput. Neurosci. 1 2007 6
    • (2007) Front. Comput. Neurosci. , vol.1 , pp. 6
    • Wong, K.F.1    Huk, A.C.2    Shadlen, M.N.3    Wang, X.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.