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Volumn 99, Issue 4-5, 2008, Pages 279-301

The response of cortical neurons to in vivo-like input current: Theory and experiment: I. Noisy inputs with stationary statistics

Author keywords

Attractor; Collective dynamics; Fast spiking; Integrate and fire; Mean field; Population density; Pyramidal

Indexed keywords

BRAIN; DYNAMICS; EXPERIMENTS; MILITARY OPERATIONS; NEURONS; PROBABILITY DENSITY FUNCTION; PROBLEM SOLVING;

EID: 56449129118     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-008-0272-7     Document Type: Article
Times cited : (37)

References (155)
  • 1
    • 0032702103 scopus 로고    scopus 로고
    • Lapicque's introduction of the integrate-and-fire model neuron (1907)
    • L Abbott 1999 Lapicque's introduction of the integrate-and-fire model neuron (1907) Brain Res Bull 50 303 304
    • (1999) Brain Res Bull , vol.50 , pp. 303-304
    • Abbott, L.1
  • 2
    • 26844542935 scopus 로고    scopus 로고
    • Drivers and modulators from push-pull and balanced synaptic input
    • L Abbott F Chance 2005 Drivers and modulators from push-pull and balanced synaptic input Prog Brain Res 149 147 55
    • (2005) Prog Brain Res , vol.149 , pp. 147-55
    • Abbott, L.1    Chance, F.2
  • 3
    • 22244458151 scopus 로고
    • Asynchronous states in networks of pulse-coupled oscillators
    • L Abbott C van Vreeswijk 1993 Asynchronous states in networks of pulse-coupled oscillators Phys Rev E 48 1483 1490
    • (1993) Phys Rev e , vol.48 , pp. 1483-1490
    • Abbott, L.1    Van Vreeswijk, C.2
  • 4
    • 0029557159 scopus 로고
    • The hebbian paradigm reintegrated: Local reverberations as internal representations
    • D Amit 1995 The hebbian paradigm reintegrated: local reverberations as internal representations Behav Brain Sci 18 617 657
    • (1995) Behav Brain Sci , vol.18 , pp. 617-657
    • Amit, D.1
  • 5
    • 0000438415 scopus 로고    scopus 로고
    • Dynamics of a recurrent network of spiking neurons before and following learning
    • D Amit N Brunel 1997 Dynamics of a recurrent network of spiking neurons before and following learning Netw Comput Neural Syst 8 373 404
    • (1997) Netw Comput Neural Syst , vol.8 , pp. 373-404
    • Amit, D.1    Brunel, N.2
  • 6
    • 0030947941 scopus 로고    scopus 로고
    • Model of global spontaneous activity and local structured (learned) delay activity during delay
    • D Amit N Brunel 1997 Model of global spontaneous activity and local structured (learned) delay activity during delay Cereb Cortex 7 237 252
    • (1997) Cereb Cortex , vol.7 , pp. 237-252
    • Amit, D.1    Brunel, N.2
  • 7
    • 0037365642 scopus 로고    scopus 로고
    • Spike-driven synaptic dynamics generating working memory states
    • DJ Amit G Mongillo 2003 Spike-driven synaptic dynamics generating working memory states Neural Comput 15 565 596
    • (2003) Neural Comput , vol.15 , pp. 565-596
    • Amit, D.J.1    Mongillo, G.2
  • 8
    • 36149028967 scopus 로고
    • Quantitative study of attractor neural network retrieving at low spike rates: I. Substrate-spikes, rates and neuronal gain
    • D Amit M Tsodyks 1991 Quantitative study of attractor neural network retrieving at low spike rates: I. Substrate-spikes, rates and neuronal gain Network 2 259 273
    • (1991) Network , vol.2 , pp. 259-273
    • Amit, D.1    Tsodyks, M.2
  • 9
    • 36149034352 scopus 로고
    • Quantitative study of attractor neural network retrieving at low spike rates: II. Low-rate retrieval in symmetric networks
    • D Amit M Tsodyks 1991 Quantitative study of attractor neural network retrieving at low spike rates: II. Low-rate retrieval in symmetric networks Network 2 275 294
    • (1991) Network , vol.2 , pp. 275-294
    • Amit, D.1    Tsodyks, M.2
  • 10
    • 0031182939 scopus 로고    scopus 로고
    • Paradigmatic working memory (attractor) cell in IT cortex
    • D Amit S Fusi V Yakovlev 1997 Paradigmatic working memory (attractor) cell in IT cortex Neural Comput 9 1071 1093
    • (1997) Neural Comput , vol.9 , pp. 1071-1093
    • Amit, D.1    Fusi, S.2    Yakovlev, V.3
  • 11
    • 33947515167 scopus 로고    scopus 로고
    • The impact of input fluctuations on the frequency-current relationships of layer 5 pyramidal neurons in the rat medial prefrontal cortex
    • M Arsiero HR Lüscher B Lundstrom M Giugliano 2007 The impact of input fluctuations on the frequency-current relationships of layer 5 pyramidal neurons in the rat medial prefrontal cortex J Neurosci 27 3274 3284
    • (2007) J Neurosci , vol.27 , pp. 3274-3284
    • Arsiero, M.1    Lüscher, H.R.2    Lundstrom, B.3    Giugliano, M.4
  • 12
    • 41249090509 scopus 로고    scopus 로고
    • Spike-frequency adaptation generates intensity invariance in a primary auditory interneuron
    • J Benda R Hennig 2008 Spike-frequency adaptation generates intensity invariance in a primary auditory interneuron J Comput Neurosci 24 113 136
    • (2008) J Comput Neurosci , vol.24 , pp. 113-136
    • Benda, J.1    Hennig, R.2
  • 13
    • 0141749203 scopus 로고    scopus 로고
    • A universal model for spike-frequency adaptation
    • J Benda A Herz 2003 A universal model for spike-frequency adaptation Neural Comput 15 2523 2564
    • (2003) Neural Comput , vol.15 , pp. 2523-2564
    • Benda, J.1    Herz, A.2
  • 15
    • 0000460102 scopus 로고    scopus 로고
    • Interval estimation for a binomial proportion
    • LD Brown T Tony Cai A Das Gupta 2001 Interval estimation for a binomial proportion Stat Sci 16 101 133
    • (2001) Stat Sci , vol.16 , pp. 101-133
    • Brown, L.D.1    Tony Cai, T.2    Das Gupta, A.3
  • 16
    • 0034006515 scopus 로고    scopus 로고
    • Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons
    • N Brunel 2000 Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons J Comput Neurosci 8 183 208
    • (2000) J Comput Neurosci , vol.8 , pp. 183-208
    • Brunel, N.1
  • 17
    • 0041730763 scopus 로고    scopus 로고
    • Persistent activity and the single cell f-I curve in a cortical network model
    • N Brunel 2000 Persistent activity and the single cell f-I curve in a cortical network model Network 11 261 280
    • (2000) Network , vol.11 , pp. 261-280
    • Brunel, N.1
  • 18
    • 0033210816 scopus 로고    scopus 로고
    • Fast global oscillations in networks of integrate-and-fire neurons with low firing rates
    • N Brunel V Hakim 1999 Fast global oscillations in networks of integrate-and-fire neurons with low firing rates Neural Comput 11 1621 1671
    • (1999) Neural Comput , vol.11 , pp. 1621-1671
    • Brunel, N.1    Hakim, V.2
  • 19
    • 40749088917 scopus 로고    scopus 로고
    • Lapicque's 1907 paper: From frogs to integrate-and-fire
    • N Brunel M van Rossum 2007 Lapicque's 1907 paper: from frogs to integrate-and-fire Biol Cybern 97 337 339
    • (2007) Biol Cybern , vol.97 , pp. 337-339
    • Brunel, N.1    Van Rossum, M.2
  • 20
    • 0032494755 scopus 로고    scopus 로고
    • Firing frequency of leaky integrate-and-fire neurons with synaptic currents dynamic
    • N Brunel S Sergi 1998 Firing frequency of leaky integrate-and-fire neurons with synaptic currents dynamic J Theor Biol 195 87 95
    • (1998) J Theor Biol , vol.195 , pp. 87-95
    • Brunel, N.1    Sergi, S.2
  • 21
    • 0034814469 scopus 로고    scopus 로고
    • Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition
    • N Brunel XJ Wang 2001 Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition J Comput Neurosci 11 63 85
    • (2001) J Comput Neurosci , vol.11 , pp. 63-85
    • Brunel, N.1    Wang, X.J.2
  • 22
    • 33745712258 scopus 로고    scopus 로고
    • A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input
    • A Burkitt 2006 A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input Biol Cybern 95 1 19
    • (2006) Biol Cybern , vol.95 , pp. 1-19
    • Burkitt, A.1
  • 23
    • 0035486770 scopus 로고    scopus 로고
    • Balanced neurons: Analysis of leaky integrate-and-fire neurons with reversal potentials
    • AN Burkitt 2001 Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials Biol Cybern 85 247 255
    • (2001) Biol Cybern , vol.85 , pp. 247-255
    • Burkitt, A.N.1
  • 24
    • 0141957923 scopus 로고    scopus 로고
    • Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory input
    • AN Burkitt H Meffin DB Grayden 2003 Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory input Biol Cybern 89 119 125
    • (2003) Biol Cybern , vol.89 , pp. 119-125
    • Burkitt, A.N.1    Meffin, H.2    Grayden, D.B.3
  • 25
    • 0015076958 scopus 로고
    • Diffusion approximation and first passage time problem for a model neuron
    • R Capocelli L Ricciardi 1971 Diffusion approximation and first passage time problem for a model neuron Kybernetik 8 214 223
    • (1971) Kybernetik , vol.8 , pp. 214-223
    • Capocelli, R.1    Ricciardi, L.2
  • 26
    • 0035879280 scopus 로고    scopus 로고
    • Negative interspike interval correlations increase the neuronal capacity for encoding time-dependent stimuli
    • M Chacron A Longtin L Maler 2001 Negative interspike interval correlations increase the neuronal capacity for encoding time-dependent stimuli J Neurosci 21 5328 5343
    • (2001) J Neurosci , vol.21 , pp. 5328-5343
    • Chacron, M.1    Longtin, A.2    Maler, L.3
  • 28
    • 0037104631 scopus 로고    scopus 로고
    • Gain modulation from background synaptic input
    • F Chance L Abbott A Reyes 2002 Gain modulation from background synaptic input Neuron 35 773 782
    • (2002) Neuron , vol.35 , pp. 773-782
    • Chance, F.1    Abbott, L.2    Reyes, A.3
  • 29
    • 0020375368 scopus 로고
    • Electrophysiological properties of neocortical neurons in vitro
    • B Connors M Gutnick D Prince 1982 Electrophysiological properties of neocortical neurons in vitro J Neurophysiol 48 1302 1320
    • (1982) J Neurophysiol , vol.48 , pp. 1302-1320
    • Connors, B.1    Gutnick, M.2    Prince, D.3
  • 31
    • 10244227862 scopus 로고    scopus 로고
    • Mean-Field and capacity in realistic networks of spiking neurons storing sparsely coded random memories
    • E Curti G Mongillo G La Camera DJ Amit 2004 Mean-Field and capacity in realistic networks of spiking neurons storing sparsely coded random memories Neural Comput 16 2597 2637
    • (2004) Neural Comput , vol.16 , pp. 2597-2637
    • Curti, E.1    Mongillo, G.2    La Camera, G.3    Amit, D.J.4
  • 33
    • 0141947274 scopus 로고    scopus 로고
    • Modelling the formation of working memory with networks of integrate-and-fire neurons connected by plastic synapses
    • P Del Giudice S Fusi M Mattia 2003 Modelling the formation of working memory with networks of integrate-and-fire neurons connected by plastic synapses J Physiol Paris 97 659 681
    • (2003) J Physiol Paris , vol.97 , pp. 659-681
    • Del Giudice, P.1    Fusi, S.2    Mattia, M.3
  • 35
    • 0035834798 scopus 로고    scopus 로고
    • Fluctuating dynamic conductances recreate in-vivo like activity in neocortical neurons
    • A Destexhe M Rudolph JM Fellous TJ Sejnowski 2001 Fluctuating dynamic conductances recreate in-vivo like activity in neocortical neurons Neuroscience 107 13 24
    • (2001) Neuroscience , vol.107 , pp. 13-24
    • Destexhe, A.1    Rudolph, M.2    Fellous, J.M.3    Sejnowski, T.J.4
  • 36
    • 4344688931 scopus 로고    scopus 로고
    • Oscillatory activity in electrosensory neurons increases with the spatial correlation of the stochastic input stimulus
    • B Doiron B Lindner A Longtin L Maler J Bastian 2004 Oscillatory activity in electrosensory neurons increases with the spatial correlation of the stochastic input stimulus Phys Rev Lett 93 048,101
    • (2004) Phys Rev Lett , vol.93 , pp. 048
    • Doiron, B.1    Lindner, B.2    Longtin, A.3    Maler, L.4    Bastian, J.5
  • 37
    • 3943088427 scopus 로고    scopus 로고
    • Neuronal circuits of the neocortex
    • R Douglas K Martin 2004 Neuronal circuits of the neocortex Annu Rev Neurosci 27 419 451
    • (2004) Annu Rev Neurosci , vol.27 , pp. 419-451
    • Douglas, R.1    Martin, K.2
  • 38
    • 0038147944 scopus 로고    scopus 로고
    • Cortical heterogeneity: Implications for visual processing and polysensory integration
    • G Elston 2002 Cortical heterogeneity: implications for visual processing and polysensory integration J Neurocytol 31 317 335
    • (2002) J Neurocytol , vol.31 , pp. 317-335
    • Elston, G.1
  • 39
    • 0032186220 scopus 로고    scopus 로고
    • Linearization of f-I curves by adaptation
    • 7
    • B Ermentrout 1998 Linearization of f-I curves by adaptation Neural Comput 10 7 1721 1729
    • (1998) Neural Comput , vol.10 , pp. 1721-1729
    • Ermentrout, B.1
  • 40
    • 0029986053 scopus 로고    scopus 로고
    • + current and slow cumulative spike adaptation in mouse and guinea-pig neocortical neurones in slices
    • + current and slow cumulative spike adaptation in mouse and guinea-pig neocortical neurones in slices J Physiol (Cambridge) 493 83 97
    • (1996) J Physiol (Cambridge) , vol.493 , pp. 83-97
    • Fleidervish, I.1    Friedman, A.2    Gutnick, M.3
  • 41
    • 0036716145 scopus 로고    scopus 로고
    • Dynamics of the firing probability of noisy integrate-and-fire neurons
    • N Fourcaud N Brunel 2002 Dynamics of the firing probability of noisy integrate-and-fire neurons Neural Comput 14 2057 2110
    • (2002) Neural Comput , vol.14 , pp. 2057-2110
    • Fourcaud, N.1    Brunel, N.2
  • 42
    • 18144386904 scopus 로고    scopus 로고
    • Dynamics of the instantaneous firing rate in response to changes in input statistics
    • 3
    • N Fourcaud-Trocmé N Brunel 2005 Dynamics of the instantaneous firing rate in response to changes in input statistics J Comp Neurosci 18 3 311 321
    • (2005) J Comp Neurosci , vol.18 , pp. 311-321
    • Fourcaud-Trocmé, N.1    Brunel, N.2
  • 43
    • 0347694858 scopus 로고    scopus 로고
    • How spike generation mechanisms determine the neuronal response to fluctuating inputs
    • N Fourcaud-Trocmé H Hansel C van Vreeswijk N Brunel 2003 How spike generation mechanisms determine the neuronal response to fluctuating inputs J Neurosci 23 11,628 11,640
    • (2003) J Neurosci , vol.23 , pp. 11
    • Fourcaud-Trocm1    Eacute N2    Hansel, H.3    Van Vreeswijk, C.4    Brunel, N.5
  • 44
    • 0024574176 scopus 로고
    • Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex
    • S Funahashi C Bruce P Goldman-Rakic 1989 Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex J Neurophysiol 61 331 349
    • (1989) J Neurophysiol , vol.61 , pp. 331-349
    • Funahashi, S.1    Bruce, C.2    Goldman-Rakic, P.3
  • 45
    • 0033110047 scopus 로고    scopus 로고
    • Collective behavior of networks with linear (VLSI) integrate and fire neurons
    • S Fusi M Mattia 1999 Collective behavior of networks with linear (VLSI) integrate and fire neurons Neural Comput 11 633 652
    • (1999) Neural Comput , vol.11 , pp. 633-652
    • Fusi, S.1    Mattia, M.2
  • 46
    • 34147179944 scopus 로고    scopus 로고
    • A neural circuit model of flexible sensorimotor mapping: Learning and forgetting on multiple timescales
    • S Fusi W Asaad E Miller X Wang 2007 A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales Neuron 54 319 333
    • (2007) Neuron , vol.54 , pp. 319-333
    • Fusi, S.1    Asaad, W.2    Miller, E.3    Wang, X.4
  • 47
    • 0019505236 scopus 로고
    • Inferotemporal neurons distinguish and retain behaviorally relevant features of visual stimuli
    • J Fuster J Jervey 1981 Inferotemporal neurons distinguish and retain behaviorally relevant features of visual stimuli Science 212 952 955
    • (1981) Science , vol.212 , pp. 952-955
    • Fuster, J.1    Jervey, J.2
  • 51
    • 0031940946 scopus 로고    scopus 로고
    • Coding strategies in monkey V1 and inferior temporal cortices
    • E Gershon M Wiener P Latham B Richmond 1998 Coding strategies in monkey V1 and inferior temporal cortices J Neurophysiol 79 1135 1144
    • (1998) J Neurophysiol , vol.79 , pp. 1135-1144
    • Gershon, E.1    Wiener, M.2    Latham, P.3    Richmond, B.4
  • 52
    • 0033630628 scopus 로고    scopus 로고
    • Population dynamics of spiking neurons: Fast transients, asynchronous states, and locking
    • W Gerstner 2000 Population dynamics of spiking neurons: fast transients, asynchronous states, and locking Neural Comput 12 43 90
    • (2000) Neural Comput , vol.12 , pp. 43-90
    • Gerstner, W.1
  • 53
    • 34248592071 scopus 로고    scopus 로고
    • Frequency-dependent response properties of adapting spiking neurons
    • G Gigante P Del Giudice M Mattia 2007 Frequency-dependent response properties of adapting spiking neurons Math Biosci 207 336 351
    • (2007) Math Biosci , vol.207 , pp. 336-351
    • Gigante, G.1    Del Giudice, P.2    Mattia, M.3
  • 54
    • 34147131228 scopus 로고    scopus 로고
    • Diverse population-bursting modes of adapting spiking neurons
    • G Gigante M Mattia P Del Giudice 2007 Diverse population-bursting modes of adapting spiking neurons Phys Rev Lett 98 148,101
    • (2007) Phys Rev Lett , vol.98 , pp. 148
    • Gigante, G.1    Mattia, M.2    Del Giudice, P.3
  • 56
    • 3142779158 scopus 로고    scopus 로고
    • Single-neuron discharge properties and network activity in dissociated cultures of neocortex
    • M Giugliano P Darbon M Arsiero HR Lüscher J J Streit 2004 Single-neuron discharge properties and network activity in dissociated cultures of neocortex J Neurophysiol 92 977 996
    • (2004) J Neurophysiol , vol.92 , pp. 977-996
    • Giugliano, M.1    Darbon, P.2    Arsiero, M.3    Lüscher, H.R.4    Streit, J.J.5
  • 58
    • 0036092811 scopus 로고    scopus 로고
    • Failure of averaging in the construction of a conductance-based neuron model
    • J Golowasch M Goldman L Abbott E Marder 2002 Failure of averaging in the construction of a conductance-based neuron model J Neurophysiol 87 1129 1131
    • (2002) J Neurophysiol , vol.87 , pp. 1129-1131
    • Golowasch, J.1    Goldman, M.2    Abbott, L.3    Marder, E.4
  • 59
    • 0033959161 scopus 로고    scopus 로고
    • Organizing Principles for a Diversity of GABAergic Interneurons and Synapses in the Neocortex
    • A Gupta Y Wang H Markram 2000 Organizing Principles for a Diversity of GABAergic Interneurons and Synapses in the Neocortex Science 287 273 278
    • (2000) Science , vol.287 , pp. 273-278
    • Gupta, A.1    Wang, Y.2    Markram, H.3
  • 60
    • 0032111678 scopus 로고    scopus 로고
    • Dynamics of membrane excitability determine interspike interval variability: A link between spike generation mechanisms and cortical spike train statistics
    • 5
    • B Gutkin G Ermentrout 1997 Dynamics of membrane excitability determine interspike interval variability: a link between spike generation mechanisms and cortical spike train statistics Neural Comput 10 5 1047 1065
    • (1997) Neural Comput , vol.10 , pp. 1047-1065
    • Gutkin, B.1    Ermentrout, G.2
  • 61
    • 0000340275 scopus 로고
    • Diffusion approximation for neural activity including synaptic reversal potentials
    • FB Hanson HC Tuckwell 1983 Diffusion approximation for neural activity including synaptic reversal potentials J Theor Neurobiol 2 127 153
    • (1983) J Theor Neurobiol , vol.2 , pp. 127-153
    • Hanson, F.B.1    Tuckwell, H.C.2
  • 62
    • 33748363922 scopus 로고    scopus 로고
    • Diversity of gain modulation by noise in neocortical neurons: Regulation by the slow afterhyperpolarization conductance
    • M Higgs S Slee W Spain 2006 Diversity of gain modulation by noise in neocortical neurons: regulation by the slow afterhyperpolarization conductance J Neurosci 26 8787 8799
    • (2006) J Neurosci , vol.26 , pp. 8787-8799
    • Higgs, M.1    Slee, S.2    Spain, W.3
  • 64
    • 0029894898 scopus 로고    scopus 로고
    • Comparison of discharge variability in vitro and in vivo in cat cortex neurons
    • 5
    • G Holt W Softky C Koch R Douglas 1996 Comparison of discharge variability in vitro and in vivo in cat cortex neurons J Neurophysiol 75 5 1806 1814
    • (1996) J Neurophysiol , vol.75 , pp. 1806-1814
    • Holt, G.1    Softky, W.2    Koch, C.3    Douglas, R.4
  • 65
    • 0002525530 scopus 로고
    • Diffusion models for the stochastic activity of neurons
    • Springer Berlin
    • Johannesma PIM (1968) Diffusion models for the stochastic activity of neurons. In: Caianiello ER (eds) Neural networks. Springer, Berlin, pp 116-144
    • (1968) Neural Networks , pp. 116-144
    • Johannesma, P.I.M.1    Caianiello, E.R.2
  • 66
    • 3142666109 scopus 로고    scopus 로고
    • Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy
    • R Jolivet T Lewis W Gerstner 2004 Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy J Neurophysiol 92 959 976
    • (2004) J Neurophysiol , vol.92 , pp. 959-976
    • Jolivet, R.1    Lewis, T.2    Gerstner, W.3
  • 67
    • 33745833056 scopus 로고    scopus 로고
    • Predicting spike timing of neocortical pyramidal neurons by simple threshold models
    • R Jolivet A Rauch H Lüscher W Gerstner 2006 Predicting spike timing of neocortical pyramidal neurons by simple threshold models J Comput Neurosci 21 35 49
    • (2006) J Comput Neurosci , vol.21 , pp. 35-49
    • Jolivet, R.1    Rauch, A.2    Lüscher, H.3    Gerstner, W.4
  • 69
    • 0015357448 scopus 로고
    • Dynamics of encoding of a populations of neurons
    • BW Knight 1972 Dynamics of encoding of a populations of neurons J Gen Physiol 59 734 736
    • (1972) J Gen Physiol , vol.59 , pp. 734-736
    • Knight, B.W.1
  • 70
    • 0015353310 scopus 로고
    • The relationship between the firing rate of a single neuron and the level of activity in a network of neurons. Experimental evidence for resonance enhancement in the population response
    • BW Knight 1972 The relationship between the firing rate of a single neuron and the level of activity in a network of neurons. Experimental evidence for resonance enhancement in the population response J Gen Physiol 59 767
    • (1972) J Gen Physiol , vol.59 , pp. 767
    • Knight, B.W.1
  • 71
    • 0024411787 scopus 로고
    • Unit activity in monkey parietal cortex related to haptic perception and temporary memory
    • K Koch J Fuster 1989 Unit activity in monkey parietal cortex related to haptic perception and temporary memory Exp Brain Res 76 292 306
    • (1989) Exp Brain Res , vol.76 , pp. 292-306
    • Koch, K.1    Fuster, J.2
  • 74
    • 45549109207 scopus 로고    scopus 로고
    • Conditions for propagating synchronous spiking and asynchronous firing rates in a cortical network model
    • A Kumar S Rotter A Aertsen 2008 Conditions for propagating synchronous spiking and asynchronous firing rates in a cortical network model J Neurosci 28 5268 5280
    • (2008) J Neurosci , vol.28 , pp. 5268-5280
    • Kumar, A.1    Rotter, S.2    Aertsen, A.3
  • 76
    • 56449085020 scopus 로고    scopus 로고
    • Learning overlapping stimuli in a recurrent network of spiking neurons (in Italian)
    • Roma, Italy
    • La Camera G (1999) Learning overlapping stimuli in a recurrent network of spiking neurons (in Italian). Università di Roma "La Sapienza", Roma, Italy
    • (1999) Università di Roma "la Sapienza"
    • La Camera, G.1
  • 78
    • 4344670177 scopus 로고    scopus 로고
    • Minimal models of adapted neuronal response to in vivo-like input currents
    • G La Camera A Rauch W Senn HR Lüscher S Fusi 2004 Minimal models of adapted neuronal response to in vivo-like input currents Neural Comput 16 2101 2124
    • (2004) Neural Comput , vol.16 , pp. 2101-2124
    • La Camera, G.1    Rauch, A.2    Senn, W.3    Lüscher, H.R.4    Fusi, S.5
  • 79
    • 2542453867 scopus 로고    scopus 로고
    • Comparison between networks of conductance- and current-driven neurons: Stationary spike rates and subthreshold depolarization
    • G La Camera W Senn S Fusi 2004 Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization Neurocomputing 58-60C 253 258
    • (2004) Neurocomputing , vol.5860 , pp. 253-258
    • La Camera, G.1    Senn, W.2    Fusi, S.3
  • 80
    • 33751547740 scopus 로고    scopus 로고
    • Multiple time scales of temporal response in pyramidal and fast spiking cortical neurons
    • G La Camera A Rauch D Thurbon HR Lüscher W Senn S Fusi 2006 Multiple time scales of temporal response in pyramidal and fast spiking cortical neurons J Neurophysiol 96 3448 3464
    • (2006) J Neurophysiol , vol.96 , pp. 3448-3464
    • La Camera, G.1    Rauch, A.2    Thurbon, D.3    Lüscher, H.R.4    Senn, W.5    Fusi, S.6
  • 81
    • 0023130393 scopus 로고
    • Diffusion approximation of the neuronal model with synaptic reversal potentials
    • P Lánský V Lánská 1987 Diffusion approximation of the neuronal model with synaptic reversal potentials Biol Cybern 56 19 26
    • (1987) Biol Cybern , vol.56 , pp. 19-26
    • Lánský, P.1    Lánská, V.2
  • 82
    • 0344629325 scopus 로고    scopus 로고
    • The stochastic diffusion models of nerve membrane depolarization and interspike interval generation
    • P Lánský S Sato 1999 The stochastic diffusion models of nerve membrane depolarization and interspike interval generation J Peripher Nerv Syst 4 27 42
    • (1999) J Peripher Nerv Syst , vol.4 , pp. 27-42
    • Lánský, P.1    Sato, S.2
  • 83
    • 0001127901 scopus 로고
    • Recherches quantitatives sur lexcitation electrique des nerfs traitee comme une polarization
    • L Lapicque 1907 Recherches quantitatives sur lexcitation electrique des nerfs traitee comme une polarization J Physiol Pathol Gen 9 620 635
    • (1907) J Physiol Pathol Gen , vol.9 , pp. 620-635
    • Lapicque, L.1
  • 84
    • 40849134255 scopus 로고    scopus 로고
    • Quantitative investigations of electrical nerve excitation treated as polarization. 1907
    • L Lapicque 2007 Quantitative investigations of electrical nerve excitation treated as polarization. 1907 Biol Cybern 97 341 349
    • (2007) Biol Cybern , vol.97 , pp. 341-349
    • Lapicque, L.1
  • 85
    • 4544222913 scopus 로고    scopus 로고
    • Top-down dendritic input increases the gain of layer 5 pyramidal neurons
    • M Larkum W Senn H Lüscher 2004 Top-down dendritic input increases the gain of layer 5 pyramidal neurons Cereb Cortex 14 1059 1070
    • (2004) Cereb Cortex , vol.14 , pp. 1059-1070
    • Larkum, M.1    Senn, W.2    Lüscher, H.3
  • 86
    • 0031892349 scopus 로고    scopus 로고
    • Variability and Correlated Noise in the Discharge of Neurons in Motor and Parietal Areas of the Primate Cortex
    • 3
    • D Lee N Port W Kruse A Georgopoulos 1998 Variability and Correlated Noise in the Discharge of Neurons in Motor and Parietal Areas of the Primate Cortex J Neurosci 18 3 1161 1170
    • (1998) J Neurosci , vol.18 , pp. 1161-1170
    • Lee, D.1    Port, N.2    Kruse, W.3    Georgopoulos, A.4
  • 89
    • 27244452102 scopus 로고    scopus 로고
    • Integrate-and-fire neurons with threshold noise: A tractable model of how interspike interval correlations affect neuronal signal transmission
    • B Lindner M Chacron A Longtin 2005 Integrate-and-fire neurons with threshold noise: a tractable model of how interspike interval correlations affect neuronal signal transmission Phys Rev E Stat Nonlin Soft Matter Phys 72 021,911
    • (2005) Phys Rev e Stat Nonlin Soft Matter Phys , vol.72 , pp. 021
    • Lindner, B.1    Chacron, M.2    Longtin, A.3
  • 90
    • 0035081994 scopus 로고    scopus 로고
    • Spike-frequency adaptation of a generalized leaky integrate-and-fire model neuron
    • YH Liu XJ Wang 2001 Spike-frequency adaptation of a generalized leaky integrate-and-fire model neuron J Comput Neurosci 10 25 45
    • (2001) J Comput Neurosci , vol.10 , pp. 25-45
    • Liu, Y.H.1    Wang, X.J.2
  • 91
    • 0034863566 scopus 로고    scopus 로고
    • Synaptic scaling in vitro and in vivo
    • M London I Segev 2001 Synaptic scaling in vitro and in vivo Nat Neurosci 4 853 855
    • (2001) Nat Neurosci , vol.4 , pp. 853-855
    • London, M.1    Segev, I.2
  • 92
    • 0026670219 scopus 로고
    • Auditory-nerve action potentials form a nonrenewal point process over short as well as long time scales
    • 2 Pt 1
    • S Lowen M Teich 1992 Auditory-nerve action potentials form a nonrenewal point process over short as well as long time scales J Acoust Soc Am 92 2 Pt 1 803 806
    • (1992) J Acoust Soc Am , vol.92 , pp. 803-806
    • Lowen, S.1    Teich, M.2
  • 93
    • 0041762826 scopus 로고    scopus 로고
    • Effective neural response function for collective population states
    • M Mascaro D Amit 1999 Effective neural response function for collective population states Netw Comput Neural Syst 10 351 373
    • (1999) Netw Comput Neural Syst , vol.10 , pp. 351-373
    • Mascaro, M.1    Amit, D.2
  • 94
    • 85036133906 scopus 로고    scopus 로고
    • Population dynamics of interacting spiking neurons
    • M Mattia P Del Giudice 2002 Population dynamics of interacting spiking neurons Phys Rev E 66 051,917
    • (2002) Phys Rev e , vol.66 , pp. 051
    • Mattia, M.1    Del Giudice, P.2
  • 95
    • 0022249586 scopus 로고
    • Comparative electrophysiology of pyramidal and sparsely stellate neurons of the neocortex
    • DA McCormick BW Connors JW Lighthall D Prince 1985 Comparative electrophysiology of pyramidal and sparsely stellate neurons of the neocortex J Neurophysiol 54 782 806
    • (1985) J Neurophysiol , vol.54 , pp. 782-806
    • McCormick, D.A.1    Connors, B.W.2    Lighthall, J.W.3    Prince, D.4
  • 96
    • 0036830341 scopus 로고    scopus 로고
    • Playing the devil's advocate: Is the Hodgkin-Huxley model useful
    • C Meunier I Segev 2002 Playing the devil's advocate: is the Hodgkin-Huxley model useful Trends Neurosci 25 558 563
    • (2002) Trends Neurosci , vol.25 , pp. 558-563
    • Meunier, C.1    Segev, I.2
  • 98
    • 0023812211 scopus 로고
    • Neural correlate of visual associative long-term mamory in the primate temporal cortex
    • Y Miyashita 1988 Neural correlate of visual associative long-term mamory in the primate temporal cortex Nature 335 817 820
    • (1988) Nature , vol.335 , pp. 817-820
    • Miyashita, Y.1
  • 99
    • 0023849447 scopus 로고
    • Neural correlate of pictorial short-term memory in the primate temporal cortex
    • Y Miyashita H Chang 1988 Neural correlate of pictorial short-term memory in the primate temporal cortex Nature 331 68 70
    • (1988) Nature , vol.331 , pp. 68-70
    • Miyashita, Y.1    Chang, H.2
  • 100
    • 40849102598 scopus 로고    scopus 로고
    • Synaptic theory of working memory
    • G Mongillo O Barak M Tsodyks 2008 Synaptic theory of working memory Science 319 1543 1546
    • (2008) Science , vol.319 , pp. 1543-1546
    • Mongillo, G.1    Barak, O.2    Tsodyks, M.3
  • 102
    • 1442313269 scopus 로고    scopus 로고
    • Role of synaptic filtering on the firing response of simple model neurons
    • R Moreno-Bote N Parga 2004 Role of synaptic filtering on the firing response of simple model neurons Phys Rev Lett 92 028,102
    • (2004) Phys Rev Lett , vol.92 , pp. 028
    • Moreno-Bote, R.1    Parga, N.2
  • 103
    • 18144403194 scopus 로고    scopus 로고
    • Membrane potential and response properties of populations of cortical neurons in the high conductance state
    • R Moreno-Bote N Parga 2005 Membrane potential and response properties of populations of cortical neurons in the high conductance state Phys Rev Lett 94 088,103
    • (2005) Phys Rev Lett , vol.94 , pp. 088
    • Moreno-Bote, R.1    Parga, N.2
  • 104
    • 47049115638 scopus 로고    scopus 로고
    • Theory of input spike auto- and cross-correlations and their effect on the response of spiking neurons
    • R Moreno-Bote A Renart N Parga 2008 Theory of input spike auto- and cross-correlations and their effect on the response of spiking neurons Neural Comput 20 1651 1705
    • (2008) Neural Comput , vol.20 , pp. 1651-1705
    • Moreno-Bote, R.1    Renart, A.2    Parga, N.3
  • 105
    • 36248947984 scopus 로고    scopus 로고
    • Spike-frequency adapting neural ensembles: Beyond mean adaptation and renewal theories
    • E Muller L Buesing J Schemmel K Meier 2007 Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories Neural Comput 19 2958 3010
    • (2007) Neural Comput , vol.19 , pp. 2958-3010
    • Muller, E.1    Buesing, L.2    Schemmel, J.3    Meier, K.4
  • 107
    • 0014952598 scopus 로고
    • Firing variability in cat association cortex during sleep and wakefulness
    • H Noda W Adey 1970 Firing variability in cat association cortex during sleep and wakefulness Brain Res 18 513 526
    • (1970) Brain Res , vol.18 , pp. 513-526
    • Noda, H.1    Adey, W.2
  • 108
    • 0034076273 scopus 로고    scopus 로고
    • A population density approach that facilitates large-scale modeling of neural networks: Analysis and an application to orientation tuning
    • D Nykamp D Tranchina 2000 A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning J Comput Neurosci 8 19 50
    • (2000) J Comput Neurosci , vol.8 , pp. 19-50
    • Nykamp, D.1    Tranchina, D.2
  • 109
    • 34948833677 scopus 로고    scopus 로고
    • Specificity and randomness in the visual cortex
    • K Ohki R Reid 2007 Specificity and randomness in the visual cortex Curr Opin Neurobiol 17 401 407
    • (2007) Curr Opin Neurobiol , vol.17 , pp. 401-407
    • Ohki, K.1    Reid, R.2
  • 110
    • 0033020751 scopus 로고    scopus 로고
    • Stochastic nature of precisely timed spike patterns in visual system neural responses
    • M Oram M Wiener R Lestienne B Richmond 1999 Stochastic nature of precisely timed spike patterns in visual system neural responses J Neurophysiol 81 3021 3033
    • (1999) J Neurophysiol , vol.81 , pp. 3021-3033
    • Oram, M.1    Wiener, M.2    Lestienne, R.3    Richmond, B.4
  • 111
    • 0032975272 scopus 로고    scopus 로고
    • Multiple mechanisms of spike-frequency adaptation in motoneurones
    • R Powers A Sawczuk J Musick M Binder 1999 Multiple mechanisms of spike-frequency adaptation in motoneurones J Physiol (Paris) 93 101 114
    • (1999) J Physiol (Paris) , vol.93 , pp. 101-114
    • Powers, R.1    Sawczuk, A.2    Musick, J.3    Binder, M.4
  • 112
    • 0141565240 scopus 로고    scopus 로고
    • Neocortical cells respond as integrate-and-fire neurons to in vivo-like input currents
    • A Rauch G La Camera HR Lüscher W Senn S Fusi 2003 Neocortical cells respond as integrate-and-fire neurons to in vivo-like input currents J Neurophysiol 90 1598 1612
    • (2003) J Neurophysiol , vol.90 , pp. 1598-1612
    • Rauch, A.1    La Camera, G.2    Lüscher, H.R.3    Senn, W.4    Fusi, S.5
  • 113
    • 0030939358 scopus 로고    scopus 로고
    • Response variability and timing precision of neuronal spike trains in vivo
    • D Reich J Victor B Knight T Ozaki A Kaplan 1997 Response variability and timing precision of neuronal spike trains in vivo J Neurophysiol 77 2836 2841
    • (1997) J Neurophysiol , vol.77 , pp. 2836-2841
    • Reich, D.1    Victor, J.2    Knight, B.3    Ozaki, T.4    Kaplan, A.5
  • 114
    • 3142740626 scopus 로고    scopus 로고
    • Mean-field theory of recurrent cortical networks: From irregularly spiking neurons to working memory
    • Feng J (ed) CRC Press, Boca Raton
    • Renart A, Brunel N, Wang XJ (2003) Mean-field theory of recurrent cortical networks: from irregularly spiking neurons to working memory. In: Feng J (ed) Computational Neuroscience: a comprehensive approach. CRC Press, Boca Raton
    • (2003) Computational Neuroscience: A Comprehensive Approach
    • Renart, A.1    Brunel, N.2    Wang, X.J.3
  • 115
    • 1842578358 scopus 로고    scopus 로고
    • Climbing neuronal activity as an event-based cortical representation of time
    • J Reutimann V Yakovlev S Fusi W Senn 2004 Climbing neuronal activity as an event-based cortical representation of time J Neurosci 24 3295 3303
    • (2004) J Neurosci , vol.24 , pp. 3295-3303
    • Reutimann, J.1    Yakovlev, V.2    Fusi, S.3    Senn, W.4
  • 116
    • 42749098503 scopus 로고    scopus 로고
    • The effects of synaptic conductance on the voltage distribution and firing rate of spiking neurons
    • MJE Richardson 2004 The effects of synaptic conductance on the voltage distribution and firing rate of spiking neurons Phys Rev E 69 051,918
    • (2004) Phys Rev e , vol.69 , pp. 051
    • Richardson, M.J.E.1
  • 117
    • 34548099438 scopus 로고    scopus 로고
    • Firing-rate response of linear and nonlinear integrate-and-fire neurons to modulated current-based and conductance-based synaptic drive
    • MJE Richardson 2007 Firing-rate response of linear and nonlinear integrate-and-fire neurons to modulated current-based and conductance-based synaptic drive Phys Rev E 76 021,919
    • (2007) Phys Rev e , vol.76 , pp. 021
    • Richardson, M.J.E.1
  • 118
    • 17144405327 scopus 로고    scopus 로고
    • Synaptic shot noise and conductance fluctuations affect the membrane voltage with equal significance
    • MJE Richardson W Gerstner 2005 Synaptic shot noise and conductance fluctuations affect the membrane voltage with equal significance Neural Comput 17 923 947
    • (2005) Neural Comput , vol.17 , pp. 923-947
    • Richardson, M.J.E.1    Gerstner, W.2
  • 120
    • 0027494363 scopus 로고
    • Injection of digitally synthesized synaptic conductance transients to measure the integrative properties of neurons
    • 3
    • H Robinson N Kawai 1993 Injection of digitally synthesized synaptic conductance transients to measure the integrative properties of neurons J Neurosci Methods 49 3 157 165
    • (1993) J Neurosci Methods , vol.49 , pp. 157-165
    • Robinson, H.1    Kawai, N.2
  • 122
    • 0036523040 scopus 로고    scopus 로고
    • Fast propagation of firing rates through layered networks of noisy neurons
    • M van Rossum G Turrigiano S Nelson 2002 Fast propagation of firing rates through layered networks of noisy neurons J Neurosci 22 1956 1966
    • (2002) J Neurosci , vol.22 , pp. 1956-1966
    • Van Rossum, M.1    Turrigiano, G.2    Nelson, S.3
  • 123
    • 0029670122 scopus 로고    scopus 로고
    • + currents in neurons: Types, physiological roles and modulation
    • + currents in neurons: types, physiological roles and modulation Trends Neurosci 19 150 154
    • (1996) Trends Neurosci , vol.19 , pp. 150-154
    • Sah, P.1
  • 124
    • 0033213820 scopus 로고    scopus 로고
    • Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons
    • 7-8
    • Y Sakai S Funahashi S Shinomoto 1999 Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons Neural Netw 12 7-8 1181 1190
    • (1999) Neural Netw , vol.12 , pp. 1181-1190
    • Sakai, Y.1    Funahashi, S.2    Shinomoto, S.3
  • 125
    • 0034814933 scopus 로고    scopus 로고
    • Gain modulation in the central nervous system: Where behavior, neurophysiology and computation meet
    • E Salinas TJ Sejnowski 2001 Gain modulation in the central nervous system: where behavior, neurophysiology and computation meet Neuroscientist 7 430 440
    • (2001) Neuroscientist , vol.7 , pp. 430-440
    • Salinas, E.1    Sejnowski, T.J.2
  • 126
    • 0036717209 scopus 로고    scopus 로고
    • Integrate-and-fire neurons driven by correlated stochastic input
    • E Salinas TJ Sejnowski 2002 Integrate-and-fire neurons driven by correlated stochastic input Neural Comput 14 2111 2155
    • (2002) Neural Comput , vol.14 , pp. 2111-2155
    • Salinas, E.1    Sejnowski, T.J.2
  • 127
    • 0033662103 scopus 로고    scopus 로고
    • Gain modulation: A major computational principle of the central nervous system
    • E Salinas P Thier 2000 Gain modulation: a major computational principle of the central nervous system Neuron 27 15 21
    • (2000) Neuron , vol.27 , pp. 15-21
    • Salinas, E.1    Thier, P.2
  • 128
    • 0034213634 scopus 로고    scopus 로고
    • Cellular mechanisms of long-lasting adaptation in visual cortical neurons in vitro
    • M Sanchez-Vives L Nowak D McCormick 2000 Cellular mechanisms of long-lasting adaptation in visual cortical neurons in vitro J Neurosci 20 4286 4299
    • (2000) J Neurosci , vol.20 , pp. 4286-4299
    • Sanchez-Vives, M.1    Nowak, L.2    McCormick, D.3
  • 129
    • 0030667104 scopus 로고    scopus 로고
    • Contribution of outward currents to spike frequency adaptation in hypoglossal motoneurons of the rat
    • A Sawczuk R Powers M Binder 1997 Contribution of outward currents to spike frequency adaptation in hypoglossal motoneurons of the rat J Physiol 78 2246 2253
    • (1997) J Physiol , vol.78 , pp. 2246-2253
    • Sawczuk, A.1    Powers, R.2    Binder, M.3
  • 130
    • 0032525177 scopus 로고    scopus 로고
    • The variable discharge of cortical neurons: Implications for connectivity, computation and information coding
    • M Shadlen W Newsome 1998 The variable discharge of cortical neurons: implications for connectivity, computation and information coding J Neurosci 18 3870 3896
    • (1998) J Neurosci , vol.18 , pp. 3870-3896
    • Shadlen, M.1    Newsome, W.2
  • 131
  • 132
    • 0242550879 scopus 로고    scopus 로고
    • Differences in spiking patterns among cortical neurons
    • 12
    • S Shinomoto K Shima J Tanji 2003 Differences in spiking patterns among cortical neurons Neural Comput 15 12 2823 2842
    • (2003) Neural Comput , vol.15 , pp. 2823-2842
    • Shinomoto, S.1    Shima, K.2    Tanji, J.3
  • 134
    • 11844290435 scopus 로고
    • A theoretical analysis of neuronal variability
    • RB Stein 1965 A theoretical analysis of neuronal variability Biophys J 5 173 194
    • (1965) Biophys J , vol.5 , pp. 173-194
    • Stein, R.B.1
  • 135
    • 0033883125 scopus 로고    scopus 로고
    • Influence of temporal correlation of synaptic input on the rate and variability of firing in neurons
    • G Svirskis J Rinzel 2000 Influence of temporal correlation of synaptic input on the rate and variability of firing in neurons Biophys J 5 629 637
    • (2000) Biophys J , vol.5 , pp. 629-637
    • Svirskis, G.1    Rinzel, J.2
  • 136
    • 53249086757 scopus 로고    scopus 로고
    • Dopamine increases the gain of the input-output response of rat prefrontal pyramidal neurons
    • 6
    • K Thurley W Senn H Lüscher 2008 Dopamine increases the gain of the input-output response of rat prefrontal pyramidal neurons J Neurophysiol 99 6 2985 97
    • (2008) J Neurophysiol , vol.99 , pp. 2985-97
    • Thurley, K.1    Senn, W.2    Lüscher, H.3
  • 137
    • 36149037160 scopus 로고
    • Mean field analysis of neuronal spike dynamics
    • A Treves 1993 Mean field analysis of neuronal spike dynamics NETWORK 4 259 284
    • (1993) NETWORK , vol.4 , pp. 259-284
    • Treves, A.1
  • 138
    • 0031182938 scopus 로고    scopus 로고
    • Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell
    • T Troyer K Miller 1997 Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell Neural Comput 9 971 983
    • (1997) Neural Comput , vol.9 , pp. 971-983
    • Troyer, T.1    Miller, K.2
  • 139
    • 0031018015 scopus 로고    scopus 로고
    • The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability
    • M Tsodyks H Markram 1997 The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability PNAS 94 719 723
    • (1997) PNAS , vol.94 , pp. 719-723
    • Tsodyks, M.1    Markram, H.2
  • 142
    • 9244224116 scopus 로고    scopus 로고
    • Multiple time scales of adaptation in auditory cortex neurons
    • N Ulanovsky L Las D Farkas I Nelken 2004 Multiple time scales of adaptation in auditory cortex neurons J Neurosci 24 10,440 10,453
    • (2004) J Neurosci , vol.24 , pp. 10
    • Ulanovsky, N.1    Las, L.2    Farkas, D.3    Nelken, I.4
  • 143
    • 25844451282 scopus 로고    scopus 로고
    • Spike train metrics
    • 5
    • J Victor 2005 Spike train metrics Curr Opin Neurobiol 15 5 585 592
    • (2005) Curr Opin Neurobiol , vol.15 , pp. 585-592
    • Victor, J.1
  • 144
    • 28044448948 scopus 로고    scopus 로고
    • Signal propagation and logic gating in networks of integrate-and-fire neurons
    • T Vogels L Abbott 2005 Signal propagation and logic gating in networks of integrate-and-fire neurons J Neurosci 25 10,786 10,795
    • (2005) J Neurosci , vol.25 , pp. 10
    • Vogels, T.1    Abbott, L.2
  • 145
    • 0029835892 scopus 로고    scopus 로고
    • Chaos in neuronal networks with balanced excitatory and inhibitory activity
    • C van Vreeswijk H Sompolinsky 1996 Chaos in neuronal networks with balanced excitatory and inhibitory activity Science 274 1724 1726
    • (1996) Science , vol.274 , pp. 1724-1726
    • Van Vreeswijk, C.1    Sompolinsky, H.2
  • 146
    • 0031895207 scopus 로고    scopus 로고
    • Calcium coding and adaptive temporal computation in cortical pyramidal neurons
    • XJ Wang 1998 Calcium coding and adaptive temporal computation in cortical pyramidal neurons J Neurophysiol 79 1549 1566
    • (1998) J Neurophysiol , vol.79 , pp. 1549-1566
    • Wang, X.J.1
  • 147
    • 0033232525 scopus 로고    scopus 로고
    • Synaptic basis of cortical persistent activity: The importance of NMDA receptors to working memory
    • 21
    • XJ Wang 1999 Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory J Neurosci 19 21 9587 9603
    • (1999) J Neurosci , vol.19 , pp. 9587-9603
    • Wang, X.J.1
  • 148
    • 0035426435 scopus 로고    scopus 로고
    • Synaptic reverberation underlying mnemonic persistent activity
    • 8
    • XJ Wang 2001 Synaptic reverberation underlying mnemonic persistent activity Trends Neurosci 24 8 455 463
    • (2001) Trends Neurosci , vol.24 , pp. 455-463
    • Wang, X.J.1
  • 149
    • 0037028039 scopus 로고    scopus 로고
    • Probabilistic decision making by slow reverberation in cortical circuits
    • XJ Wang 2002 Probabilistic decision making by slow reverberation in cortical circuits Neuron 36 955 968
    • (2002) Neuron , vol.36 , pp. 955-968
    • Wang, X.J.1
  • 150
  • 151
    • 0021046151 scopus 로고
    • A theoretical basis for large coefficient of variation and bimodality in neuronal interspike interval distribution
    • W Wilbur J Rinzel 1983 A theoretical basis for large coefficient of variation and bimodality in neuronal interspike interval distribution J Theor Biol 105 345 368
    • (1983) J Theor Biol , vol.105 , pp. 345-368
    • Wilbur, W.1    Rinzel, J.2
  • 152
    • 0027182368 scopus 로고
    • Dissociation of object and spatial processing domains in primate prefrontal cortex
    • F Wilson S Scalaidhe P Goldman-Rakic 1993 Dissociation of object and spatial processing domains in primate prefrontal cortex Science 260 1955 1958
    • (1993) Science , vol.260 , pp. 1955-1958
    • Wilson, F.1    Scalaidhe, S.2    Goldman-Rakic, P.3
  • 153
    • 44449123004 scopus 로고    scopus 로고
    • Hyperpolarization-activated graded persistent activity in the prefrontal cortex
    • M Winograd A Destexhe M Sanchez-Vives 2008 Hyperpolarization-activated graded persistent activity in the prefrontal cortex Proc Natl Acad Sci USA 105 7298 7303
    • (2008) Proc Natl Acad Sci USA , vol.105 , pp. 7298-7303
    • Winograd, M.1    Destexhe, A.2    Sanchez-Vives, M.3
  • 154
    • 32544439341 scopus 로고    scopus 로고
    • A recurrent network mechanism of time integration in perceptual decisions
    • KF Wong XJ Wang 2006 A recurrent network mechanism of time integration in perceptual decisions J Neurosci 26 1314 1328
    • (2006) J Neurosci , vol.26 , pp. 1314-1328
    • Wong, K.F.1    Wang, X.J.2
  • 155
    • 33644686010 scopus 로고    scopus 로고
    • Inter-trial neuronal activity in infero-temporal cortex: A putative vehicle to generate long term associations
    • V Yakovlev S Fusi E Berman E Zohary 1998 Inter-trial neuronal activity in infero-temporal cortex: a putative vehicle to generate long term associations Nat Neurosci 1 310 317
    • (1998) Nat Neurosci , vol.1 , pp. 310-317
    • Yakovlev, V.1    Fusi, S.2    Berman, E.3    Zohary, E.4


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