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Volumn 26, Issue 12, 2016, Pages 4461-4496

Hybrid scheme for modeling local field potentials from point-neuron networks

Author keywords

Cortical microcircuit; Electrostatic forward modeling; Extracellular potential; Multicompartment neuron modeling; Point neuron network models

Indexed keywords

ARTICLE; CELL DENSITY; COMPARTMENT MODEL; LOCAL FIELD POTENTIAL; NERVE CELL MEMBRANE POTENTIAL; NERVE CELL NETWORK; POINT NEURON NETWORK MODEL; PREDICTION; PRIORITY JOURNAL; SIMULATION; STRIATE CORTEX; SYNAPSE; ANIMAL; BIOLOGICAL MODEL; BRAIN CORTEX; COMPUTER SIMULATION; HUMAN; MEMBRANE POTENTIAL; NERVE CELL; NERVE CELL INHIBITION; PHYSIOLOGY; THALAMUS;

EID: 85009231679     PISSN: 10473211     EISSN: 14602199     Source Type: Journal    
DOI: 10.1093/cercor/bhw237     Document Type: Article
Times cited : (70)

References (161)
  • 1
    • 84941996273 scopus 로고    scopus 로고
    • Modeling the effect of dendritic input location on MEG and EEG source dipoles
    • Ahlfors SP, Wreh C II 2015. Modeling the effect of dendritic input location on MEG and EEG source dipoles. Med Biol Eng Comput. 53:879-887.
    • (2015) Med Biol Eng Comput , vol.53 , pp. 879-887
    • Ahlfors, S.P.1    Wreh, C.2
  • 2
    • 0030947941 scopus 로고    scopus 로고
    • Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex
    • Amit DJ, Brunel N 1997. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cereb Cortex. 7:237-252.
    • (1997) Cereb Cortex , vol.7 , pp. 237-252
    • Amit, D.J.1    Brunel, N.2
  • 4
    • 0026472471 scopus 로고
    • Flow of excitation within rat barrel cortex on striking a single vibrissa
    • Armstrong-James M, Fox K, Das-Gupta A 1992. Flow of excitation within rat barrel cortex on striking a single vibrissa. J Neurophysiol. 68:1345-1358.
    • (1992) J Neurophysiol , vol.68 , pp. 1345-1358
    • Armstrong-James, M.1    Fox, K.2    Das-Gupta, A.3
  • 5
    • 34548458204 scopus 로고    scopus 로고
    • Neuromorpho.org: A central resource for neuronal morphologies
    • Ascoli GA, Donohue DE, Halavi M 2007. Neuromorpho.org: a central resource for neuronal morphologies. J Neurosci. 27: 9247-9251.
    • (2007) J Neurosci , vol.27 , pp. 9247-9251
    • Ascoli, G.A.1    Donohue, D.E.2    Halavi, M.3
  • 7
    • 77954631789 scopus 로고    scopus 로고
    • Unitary inhibitory field potentials in the CA3 region of rat hippocampus
    • Bazelot M, Dinocourt C, Cohen I, Miles R 2010. Unitary inhibitory field potentials in the CA3 region of rat hippocampus. J Physiol. 588:2077-2090.
    • (2010) J Physiol. , vol.588 , pp. 2077-2090
    • Bazelot, M.1    Dinocourt, C.2    Cohen, I.3    Miles, R.4
  • 9
    • 67649312255 scopus 로고    scopus 로고
    • Macroscopic models of local field potentials and the apparent 1/f noise in brain activity
    • Bédard C, Destexhe A 2009. Macroscopic models of local field potentials and the apparent 1/f noise in brain activity. Biophys J. 96:2589-2603.
    • (2009) Biophys J , vol.96 , pp. 2589-2603
    • Bédard, C.1    Destexhe, A.2
  • 10
    • 4744358521 scopus 로고    scopus 로고
    • A quantitative map of the circuit of cat primary visual cortex
    • Binzegger T, Douglas RJ, Martin KAC 2004. A quantitative map of the circuit of cat primary visual cortex. J Neurosci. 24: 8441-8453.
    • (2004) J Neurosci , vol.24 , pp. 8441-8453
    • Binzegger, T.1    Douglas, R.J.2    Martin, K.A.C.3
  • 11
    • 63549111803 scopus 로고    scopus 로고
    • Estimation of thalamocortical and intracortical network models from joint thalamic single-electrode and cortical laminar-electrode recordings in the rat barrel system
    • Blomquist P, Devor A, Indahl UG, Ulbert I, Einevoll GT, Dale AM 2009. Estimation of thalamocortical and intracortical network models from joint thalamic single-electrode and cortical laminar-electrode recordings in the rat barrel system. PLoS Comput Biol. 5:e1000328.
    • (2009) PLoS Comput Biol. , vol.5 , pp. e1000328
    • Blomquist, P.1    Devor, A.2    Indahl, U.G.3    Ulbert, I.4    Einevoll, G.T.5    Dale, A.M.6
  • 12
    • 84994142367 scopus 로고    scopus 로고
    • Identifying anatomical origins of coexisting oscillations in the cortical microcircuit
    • accepted
    • Bos H, Diesmann M, Helias M 2016. Identifying anatomical origins of coexisting oscillations in the cortical microcircuit. PLoS Comput Biol, accepted.
    • (2016) PLoS Comput, Biol
    • Bos, H.1    Diesmann, M.2    Helias, M.3
  • 14
    • 84900342920 scopus 로고    scopus 로고
    • Statistical physics of neural systems with nonadditive dendritic coupling
    • Breuer D, Timme M, Memmesheimer R-M 2014. Statistical physics of neural systems with nonadditive dendritic coupling. Physical Review X. 4:011053.
    • (2014) Physical Review X , vol.4 , pp. 011053
    • Breuer, D.1    Timme, M.2    Memmesheimer, R.-M.3
  • 15
    • 0034006515 scopus 로고    scopus 로고
    • Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons
    • Brunel N 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
  • 16
    • 84862101988 scopus 로고    scopus 로고
    • The origin of extracellular fields and currents - EEG, ECoG, LFP and spikes
    • Buzsáki G, Anastassiou CA, Koch C 2012. The origin of extracellular fields and currents - EEG, ECoG, LFP and spikes. Nat Rev Neurosci. 13:407-420.
    • (2012) Nat Rev Neurosci , vol.13 , pp. 407-420
    • Buzsáki, G.1    Anastassiou, C.A.2    Koch, C.3
  • 17
    • 84897039219 scopus 로고    scopus 로고
    • The log-dynamic brain: How skewed distributions affect network operations
    • Buzsáki G, Mizuseki K 2014. The log-dynamic brain: how skewed distributions affect network operations. Nat Rev Neurosci. 15:264-278.
    • (2014) Nat Rev Neurosci , vol.15 , pp. 264-278
    • Buzsáki, G.1    Mizuseki, K.2
  • 18
    • 84877828948 scopus 로고    scopus 로고
    • A detailed and fast model of extracellular recordings
    • Camuñas Mesa LA, Quiroga RQ 2013. A detailed and fast model of extracellular recordings. Neural Comput. 25:1191-1212.
    • (2013) Neural Comput , vol.25 , pp. 1191-1212
    • Camuñas Mesa, L.A.1    Quiroga, R.Q.2
  • 20
    • 0029879206 scopus 로고    scopus 로고
    • Spatiotemporal properties of short-term plasticity sensorimotor thalamocortical pathways of the rat
    • Castro-Alamancos MA, Connors BW 1996. Spatiotemporal properties of short-term plasticity sensorimotor thalamocortical pathways of the rat. J Neurosci. 16:2767-2779.
    • (1996) J Neurosci , vol.16 , pp. 2767-2779
    • Castro-Alamancos, M.A.1    Connors, B.W.2
  • 21
    • 77956094878 scopus 로고    scopus 로고
    • A biophysical cortical column model to study the multi-component origin of the VSDI signal
    • Chemla S, Chavane F 2010a. A biophysical cortical column model to study the multi-component origin of the VSDI signal. Neuroimage. 53:420-438.
    • (2010) Neuroimage , vol.53 , pp. 420-438
    • Chemla, S.1    Chavane, F.2
  • 22
    • 77049115785 scopus 로고    scopus 로고
    • Voltage-sensitive dye imaging: Technique review and models
    • Chemla S, Chavane F 2010b. Voltage-sensitive dye imaging: technique review and models. J Physiol Paris. 104:40-50.
    • (2010) J Physiol Paris. , vol.104 , pp. 40-50
    • Chemla, S.1    Chavane, F.2
  • 23
    • 0030742074 scopus 로고    scopus 로고
    • Intracellular and computational characterization of the intracortical inhibitory control of synchronized thalamic inputs in vivo
    • Contreras D, Destexhe A, Steriade M 1997. Intracellular and computational characterization of the intracortical inhibitory control of synchronized thalamic inputs in vivo. J Neurophysiol. 78:335-350.
    • (1997) J Neurophysiol , vol.78 , pp. 335-350
    • Contreras, D.1    Destexhe, A.2    Steriade, M.3
  • 24
    • 78049446478 scopus 로고    scopus 로고
    • One rule to grow them all: A general theory of neuronal branching and its practical application
    • Cuntz H, Forstner F, Borst A, Häusser M 2010. One rule to grow them all: a general theory of neuronal branching and its practical application. PLoS Comput Biol. 6:e1000877.
    • (2010) PLoS Comput Biol. , vol.6 , pp. e1000877
    • Cuntz, H.1    Forstner, F.2    Borst, A.3    Häusser, M.4
  • 25
    • 79953767978 scopus 로고    scopus 로고
    • The TREES toolbox - probing the basis of axonal and dendritic branching
    • Cuntz H, Forstner F, Borst A, Häusser M 2011. The TREES toolbox - probing the basis of axonal and dendritic branching. Neuroinformatics. 9:91-96.
    • (2011) Neuroinformatics , vol.9 , pp. 91-96
    • Cuntz, H.1    Forstner, F.2    Borst, A.3    Häusser, M.4
  • 30
    • 0033053130 scopus 로고    scopus 로고
    • Impact of network activity on the integrative properties of neocortical pyramidal neurons in vivo
    • Destexhe A, Paré D. 1999. Impact of network activity on the integrative properties of neocortical pyramidal neurons in vivo. J Neurophysiol. 81:1531-1547.
    • (1999) J Neurophysiol , vol.81 , pp. 1531-1547
    • Destexhe, A.1    Paré, D.2
  • 31
    • 0025267812 scopus 로고
    • Laminar analysis of extracellular field potentials in rat vibrissa/barrel cortex
    • Di S, Baumgartner C, Barth DS. 1990. Laminar analysis of extracellular field potentials in rat vibrissa/barrel cortex. J Neurophysiol. 63:832-840.
    • (1990) J Neurophysiol , vol.63 , pp. 832-840
    • Di, S.1    Baumgartner, C.2    Barth, D.S.3
  • 34
    • 84886032286 scopus 로고    scopus 로고
    • Modelling and analysis of local field potentials for studying the function of cortical circuits
    • Einevoll GT, Kayser C, Logothetis NK, Panzeri S. 2013. Modelling and analysis of local field potentials for studying the function of cortical circuits. Nat Rev Neurosci. 14:770-785.
    • (2013) Nat Rev Neurosci , vol.14 , pp. 770-785
    • Einevoll, G.T.1    Kayser, C.2    Logothetis, N.K.3    Panzeri, S.4
  • 35
    • 84912076553 scopus 로고    scopus 로고
    • Local field potential: Biophysical origin and analysis
    • Quiroga RQ, Panzeri S editors. CRC Press. Chapter 3
    • Einevoll GT, Lindén H, Tetzlaff T, Łȩski S, Pettersen KH. 2013. Local field potential: biophysical origin and analysis. In: Quiroga RQ, Panzeri S editors. Principles of neural coding. CRC Press. p. 37-60, Chapter 3.
    • (2013) Principles of Neural Coding , pp. 37-60
    • Einevoll, G.T.1    Lindén, H.2    Tetzlaff, T.3    Łȩski, S.4    Pettersen, K.H.5
  • 36
    • 33947149545 scopus 로고    scopus 로고
    • Laminar population analysis: Estimating firing rates and evoked synaptic activity from multielectrode recordings in rat barrel cortex
    • Einevoll GT, Pettersen KH, Devor A, Ulbert I, Halgren E, Dale AM. 2007. Laminar population analysis: estimating firing rates and evoked synaptic activity from multielectrode recordings in rat barrel cortex. J Neurophysiol. 97: 2174-2190.
    • (2007) J Neurophysiol , vol.97 , pp. 2174-2190
    • Einevoll, G.T.1    Pettersen, K.H.2    Devor, A.3    Ulbert, I.4    Halgren, E.5    Dale, A.M.6
  • 39
    • 0001540595 scopus 로고
    • Publications Mathematicae
    • Erdös P, Rényi A. 1959. On random graphs. Publications Mathematicae. 6:290-297.
    • (1959) On Random Graphs , vol.6 , pp. 290-297
    • Erdös, P.1    Rényi, A.2
  • 40
    • 0004146408 scopus 로고
    • Designing and building parallel programs: Concepts and tools for parallel software engineering
    • Mass: Addison-Wesley Longman Publishing Co. Inc
    • Foster I. 1995. Designing and building parallel programs: concepts and tools for parallel software engineering. In: Reading. Mass: Addison-Wesley Longman Publishing Co., Inc.
    • (1995) Reading
    • Foster, I.1
  • 41
    • 70349786735 scopus 로고    scopus 로고
    • Electrical conductivity of tissue at frequencies below 1 MHz
    • Gabriel C, Peyman A, Grant EH. 2009. Electrical conductivity of tissue at frequencies below 1 MHz. Phys Med Biol. 54: 4863-4878.
    • (2009) Phys Med Biol , vol.54 , pp. 4863-4878
    • Gabriel, C.1    Peyman, A.2    Grant, E.H.3
  • 42
    • 0029909341 scopus 로고    scopus 로고
    • The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz
    • Gabriel S, Lau RW, Gabriel C. 1996. The dielectric properties of biological tissues: II. measurements in the frequency range 10 Hz to 20 GHz. Phys Med Biol. 41:2251-2269.
    • (1996) Phys Med Biol , vol.41 , pp. 2251-2269
    • Gabriel, S.1    Lau, R.W.2    Gabriel, C.3
  • 43
    • 78651338339 scopus 로고    scopus 로고
    • The local and non-local components of the local field potential in awake primate visual cortex
    • Gawne TJ. 2010. The local and non-local components of the local field potential in awake primate visual cortex. J Comput Neurosci. 29:615-623.
    • (2010) J Comput Neurosci. , vol.29 , pp. 615-623
    • Gawne, T.J.1
  • 44
    • 75949115986 scopus 로고    scopus 로고
    • Membrane potential dynamics of GABAergic neurons in the barrel cortex of behaving mice
    • Gentet LJ, Avermann M, Matyas F, Staiger JF, Petersen CCH. 2010. Membrane potential dynamics of GABAergic neurons in the barrel cortex of behaving mice. Neuron. 65:422-435.
    • (2010) Neuron , vol.65 , pp. 422-435
    • Gentet, L.J.1    Avermann, M.2    Matyas, F.3    Staiger, J.F.4    Petersen, C.C.H.5
  • 45
    • 70350130109 scopus 로고    scopus 로고
    • How good are neuron models?
    • Gerstner W, Naud R. 2009. How good are neuron models? Science. 326:379-380.
    • (2009) Science , vol.326 , pp. 379-380
    • Gerstner, W.1    Naud, R.2
  • 46
    • 84926427939 scopus 로고    scopus 로고
    • Independent components of neural activity carry information on individual populations
    • Głabska H, Potworowski J, Łeski S, Wójcik DK. 2014. Independent components of neural activity carry information on individual populations. PLoS One. 9:e105071.
    • (2014) PLoS One , vol.9 , pp. e105071
    • Głabska, H.1    Potworowski, J.2    Łeski, S.3    Wójcik, D.K.4
  • 47
    • 33646174233 scopus 로고    scopus 로고
    • On the origin of the extracellular action potential waveform: A modeling study
    • Gold C, Henze DA, Koch C, Buzsáki G. 2006. On the origin of the extracellular action potential waveform: a modeling study. J Neurophysiol. 95:3113-3128.
    • (2006) J Neurophysiol , vol.95 , pp. 3113-3128
    • Gold, C.1    Henze, D.A.2    Koch, C.3    Buzsáki, G.4
  • 48
    • 78650913155 scopus 로고    scopus 로고
    • An evaluation of the conductivity profile in the somatosensory barrel cortex of Wistar rats
    • Goto T, Hatanaka R, Ogawa T, Sumiyoshi A, Riera J, Kawashima R. 2010. An evaluation of the conductivity profile in the somatosensory barrel cortex of Wistar rats. J Neurophysiol. 104: 3388-412.
    • (2010) J Neurophysiol , vol.104 , pp. 3388-3412
    • Goto, T.1    Hatanaka, R.2    Ogawa, T.3    Sumiyoshi, A.4    Riera, J.5    Kawashima, R.6
  • 50
    • 26244462082 scopus 로고
    • Magnetoencephalography - theory, instrumentation, and application to noninvasive studies of the working human brain
    • Hämäläinen M, Haari R, Ilmoniemi RJ, Knuutila J, Lounasmaa OV. 1993. Magnetoencephalography - theory, instrumentation, and application to noninvasive studies of the working human brain. Rev Mod Phys. 65:413-496.
    • (1993) Rev Mod Phys. , vol.65 , pp. 413-496
    • Hämäläinen, M.1    Haari, R.2    Ilmoniemi, R.J.3    Knuutila, J.4    Lounasmaa, O.V.5
  • 52
    • 84874525561 scopus 로고    scopus 로고
    • Echoes in correlated neural systems
    • Helias M, Tetzlaff T, Diesmann M. 2013. Echoes in correlated neural systems. New J Phys. 15:023002.
    • (2013) New J Phys , vol.15 , pp. 023002
    • Helias, M.1    Tetzlaff, T.2    Diesmann, M.3
  • 53
    • 84944088760 scopus 로고    scopus 로고
    • New uses of LFPs: Pathway-specific threads obtained through spatial discrimination
    • Herreras O, Makarova J, Makarov V. 2015. New uses of LFPs: pathway-specific threads obtained through spatial discrimination. Neuroscience. 310:486-503.
    • (2015) Neuroscience , vol.310 , pp. 486-503
    • Herreras, O.1    Makarova, J.2    Makarov, V.3
  • 54
    • 77649294393 scopus 로고    scopus 로고
    • Cross-correlations in high-conductance states of a model cortical network
    • Hertz J. 2010. Cross-correlations in high-conductance states of a model cortical network. Neural Comput. 22:427-447.
    • (2010) Neural Comput , vol.22 , pp. 427-447
    • Hertz, J.1
  • 55
    • 14144255233 scopus 로고    scopus 로고
    • Modeling sleep and wakefulness in the thalamocortical system
    • Hill S, Tononi G. 2005. Modeling sleep and wakefulness in the thalamocortical system. J Neurophysiol. 93:1671-1698.
    • (2005) J Neurophysiol , vol.93 , pp. 1671-1698
    • Hill, S.1    Tononi, G.2
  • 56
    • 0035080096 scopus 로고    scopus 로고
    • Neuron: A tool for neuroscientists
    • Hines ML, Carnevale NT. 2001. Neuron: a tool for neuroscientists. Neuroscientist. 7:123-135.
    • (2001) Neuroscientist , vol.7 , pp. 123-135
    • Hines, M.L.1    Carnevale, N.T.2
  • 58
    • 45649084042 scopus 로고    scopus 로고
    • Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors
    • Hines ML, Eichner H, Schürmann F. 2008. Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors. J Comput Neurosci. 25:203-210.
    • (2008) J Comput Neurosci , vol.25 , pp. 203-210
    • Hines, M.L.1    Eichner, H.2    Schürmann, F.3
  • 60
    • 0032938543 scopus 로고    scopus 로고
    • Electrical interactions via the extracellular potential near cell bodies
    • Holt GR, Koch C. 1999. Electrical interactions via the extracellular potential near cell bodies. J Comput Neurosci. 6: 169-184.
    • (1999) J Comput Neurosci. , vol.6 , pp. 169-184
    • Holt, G.R.1    Koch, C.2
  • 61
    • 84897430266 scopus 로고    scopus 로고
    • Whisker barrel cortex delta oscillations and gamma power in the awake mouse are linked to respiration
    • Ito J, Roy S, Liu Y, Cao Y, Fletcher M, Lu L, Boughter J, Grün S, Heck D. 2014. Whisker barrel cortex delta oscillations and gamma power in the awake mouse are linked to respiration. Nat Commun. 5:1-10.
    • (2014) Nat Commun , vol.5 , pp. 1-10
    • Ito, J.1    Roy, S.2    Liu, Y.3    Cao, Y.4    Fletcher, M.5    Lu, L.6    Boughter, J.7    Grün, S.8    Heck, D.9
  • 62
    • 84887290826 scopus 로고    scopus 로고
    • The influence of synaptic weight distribution on neuronal population dynamics
    • Iyer R, Menon V, Buice M, Koch C, Mihalas S. 2013. The influence of synaptic weight distribution on neuronal population dynamics. PLoS Comput Biol. 9:e1003248.
    • (2013) PLoS Comput Biol , vol.9 , pp. e1003248
    • Iyer, R.1    Menon, V.2    Buice, M.3    Koch, C.4    Mihalas, S.5
  • 63
    • 0742268989 scopus 로고    scopus 로고
    • Simple model of spiking neurons
    • Izhikevich EM. 2003. Simple model of spiking neurons. IEEE Trans Neural Netw. 14:1569-1572.
    • (2003) IEEE Trans Neural Netw , vol.14 , pp. 1569-1572
    • Izhikevich, E.M.1
  • 64
    • 42149192537 scopus 로고    scopus 로고
    • Large-scale model of mammalian thalamocortical systems
    • Izhikevich EM, Edelman GM. 2008. Large-scale model of mammalian thalamocortical systems. Proc Natl Acad Sci. 105: 3593-3598.
    • (2008) Proc Natl Acad Sci , vol.105 , pp. 3593-3598
    • Izhikevich, E.M.1    Edelman, G.M.2
  • 67
    • 79251540467 scopus 로고    scopus 로고
    • Population receptive fields of ON and OFF thalamic inputs to an orientation column in visual cortex
    • Jin J, Wang Y, Swadlow HA, Alonso JM 2011. Population receptive fields of ON and OFF thalamic inputs to an orientation column in visual cortex. Nat Neurosci. 14:232-238.
    • (2011) Nat Neurosci , vol.14 , pp. 232-238
    • Jin, J.1    Wang, Y.2    Swadlow, H.A.3    Alonso, J.M.4
  • 70
    • 83355171118 scopus 로고    scopus 로고
    • How local is the local field potential?
    • Kajikawa Y, Schroeder CE. 2011. How local is the local field potential? Neuron. 72:847-858.
    • (2011) Neuron , vol.72 , pp. 847-858
    • Kajikawa, Y.1    Schroeder, C.E.2
  • 72
    • 78651376222 scopus 로고    scopus 로고
    • Local field potentials indicate network state and account for neuronal response variability
    • Kelly RC, Smith MA, Kass RE, Lee TS. 2010. Local field potentials indicate network state and account for neuronal response variability. J Comput Neurosci. 29:567-579.
    • (2010) J Comput Neurosci , vol.29 , pp. 567-579
    • Kelly, R.C.1    Smith, M.A.2    Kass, R.E.3    Lee, T.S.4
  • 73
    • 0026557294 scopus 로고
    • Cellular organization of reciprocal patchy networks in layer III of cat visual cortex (area 17)
    • Kisvárday ZF, Eysel UT. 1992. Cellular organization of reciprocal patchy networks in layer III of cat visual cortex (area 17). Neuroscience. 46:275-286.
    • (1992) Neuroscience , vol.46 , pp. 275-286
    • Kisvárday, Z.F.1    Eysel, U.T.2
  • 74
    • 77953482919 scopus 로고    scopus 로고
    • Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold
    • Kobayashi R, Tsubo Y, Shinomoto S. 2009. Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Front Comput Neurosci. 3:1-11.
    • (2009) Front Comput Neurosci , vol.3 , pp. 1-11
    • Kobayashi, R.1    Tsubo, Y.2    Shinomoto, S.3
  • 75
    • 0021322755 scopus 로고
    • Cable theory in neurons with active, linearized membranes
    • Koch C. 1984. Cable theory in neurons with active, linearized membranes. Biol Cybern. 50:15-33.
    • (1984) Biol Cybern , vol.50 , pp. 15-33
    • Koch, C.1
  • 76
    • 0021987114 scopus 로고
    • A simple algorithm for solving the cable equation in dendritic trees of arbitrary geometry
    • Koch C, Poggio T. 1985. A simple algorithm for solving the cable equation in dendritic trees of arbitrary geometry. J Neurosci Methods. 12:303-315.
    • (1985) J Neurosci Methods , vol.12 , pp. 303-315
    • Koch, C.1    Poggio, T.2
  • 77
    • 84908365714 scopus 로고    scopus 로고
    • Dynamics of self-sustained asynchronous- irregular activity in random networks of spiking neurons with strong synapses
    • Kriener B, Enger H, Tetzlaff T, Plesser HE, Gewaltig M-O, Einevoll GT. 2014. Dynamics of self-sustained asynchronous- irregular activity in random networks of spiking neurons with strong synapses. Front Comput Neurosci. 8:1-18.
    • (2014) Front Comput Neurosci , vol.8 , pp. 1-18
    • Kriener, B.1    Enger, H.2    Tetzlaff, T.3    Plesser, H.E.4    Gewaltig, M.-O.5    Einevoll, G.T.6
  • 79
    • 78651338793 scopus 로고    scopus 로고
    • Extracting functional components of neural dynamics with independent component analysis and inverse current source density
    • Łȩski S, Kublik E, Swiejkowski DA, Wróbel A, Wójcik DK. 2010. Extracting functional components of neural dynamics with independent component analysis and inverse current source density. J Comput Neurosci. 29:459-473.
    • (2010) J Comput Neurosci , vol.29 , pp. 459-473
    • Łȩski, S.1    Kublik, E.2    Swiejkowski, D.A.3    Wróbel, A.4    Wójcik, D.K.5
  • 82
    • 78651338035 scopus 로고    scopus 로고
    • Intrinsic dendritic filtering gives low-pass power spectra of local field potentials
    • Lindén H, Pettersen KH, Einevoll GT. 2010. Intrinsic dendritic filtering gives low-pass power spectra of local field potentials. J Comput Neurosci. 29:423-444.
    • (2010) J Comput Neurosci , vol.29 , pp. 423-444
    • Lindén, H.1    Pettersen, K.H.2    Einevoll, G.T.3
  • 84
    • 34548270594 scopus 로고    scopus 로고
    • Vivo measurement of cortical impedance spectrum in monkeys: Implications for signal propagation
    • Logothetis NK, Kayser C, Oeltermann A. 2007. In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation. Neuron. 55:809-823.
    • (2007) Neuron , vol.55 , pp. 809-823
    • Logothetis, N.K.1    Kayser, C.2    Oeltermann, A.3
  • 86
    • 79951520640 scopus 로고    scopus 로고
    • Distinct superficial and deep laminar domains of activity in the visual cortex during rest and stimulation
    • Maier A, Adams GK, Aura C, Leopold DA. 2010. Distinct superficial and deep laminar domains of activity in the visual cortex during rest and stimulation. Front Syst Neurosci. 4: 1-11.
    • (2010) Front Syst Neurosci , vol.4 , pp. 1-11
    • Maier, A.1    Adams, G.K.2    Aura, C.3    Leopold, D.A.4
  • 87
    • 0029741078 scopus 로고    scopus 로고
    • Influence of dendritic structure on firing pattern in model neocortical neurons
    • Mainen ZF, Sejnowski TJ. 1996. Influence of dendritic structure on firing pattern in model neocortical neurons. Nature. 382: 363-366.
    • (1996) Nature , vol.382 , pp. 363-366
    • Mainen, Z.F.1    Sejnowski, T.J.2
  • 88
    • 78651338079 scopus 로고    scopus 로고
    • Disentanglement of local field potential sources by independent component analysis
    • Makarov VA, Makarova J, Herreras O. 2010. Disentanglement of local field potential sources by independent component analysis. J Comput Neurosci. 29:445-457.
    • (2010) J Comput Neurosci , vol.29 , pp. 445-457
    • Makarov, V.A.1    Makarova, J.2    Herreras, O.3
  • 91
  • 93
    • 58149142960 scopus 로고    scopus 로고
    • Encoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neurons
    • Mazzoni A, Panzeri S, Logothetis NK, Brunel N. 2008. Encoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neurons. PLoS Comput Biol. 4:e1000239.
    • (2008) PLoS Comput Biol , vol.4 , pp. e1000239
    • Mazzoni, A.1    Panzeri, S.2    Logothetis, N.K.3    Brunel, N.4
  • 94
    • 77954387279 scopus 로고    scopus 로고
    • Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model
    • Mazzoni A, Whittingstall K, Brunel N, Logothetis NK, Panzeri S. 2010. Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model. Neuroimage. 52:956-972.
    • (2010) Neuroimage , vol.52 , pp. 956-972
    • Mazzoni, A.1    Whittingstall, K.2    Brunel, N.3    Logothetis, N.K.4    Panzeri, S.5
  • 95
    • 84899749606 scopus 로고    scopus 로고
    • Distributed organization of a brain microcircuit analyzed by three-dimensional modeling: The olfactory, bulb
    • Migliore M, Cavarretta F, Hines ML, Shepherd GM. 2014. Distributed organization of a brain microcircuit analyzed by three-dimensional modeling: the olfactory bulb. Front Comput Neurosci. 8:1-14.
    • (2014) Front Comput Neurosci , vol.8 , pp. 1-14
    • Migliore, M.1    Cavarretta, F.2    Hines, M.L.3    Shepherd, G.M.4
  • 96
    • 0021927140 scopus 로고
    • Current source-density method and application in cat cerebral cortex: Investigation of evoked potentials and EEG phenomena
    • Mitzdorf U. 1985. Current source-density method and application in cat cerebral cortex: investigation of evoked potentials and EEG phenomena. Physiol Rev. 65:37-100.
    • (1985) Physiol Rev , vol.65 , pp. 37-100
    • Mitzdorf, U.1
  • 97
    • 0018647962 scopus 로고
    • Excitatory synaptic ensemble properties in the visual cortex of the macaque monkey: A current source density analysis of electrically evoked potentials
    • Mitzdorf U, Singer W. 1979. Excitatory synaptic ensemble properties in the visual cortex of the macaque monkey: a current source density analysis of electrically evoked potentials. J Comp Neurol. 187:71-83.
    • (1979) J Comp Neurol , vol.187 , pp. 71-83
    • Mitzdorf, U.1    Singer, W.2
  • 99
    • 38349070646 scopus 로고    scopus 로고
    • A new 3-D finite-element model based on thin-film approximation for microelectrode array recording of extracellular action potential
    • Moulin C, Glière A, Barbier D, Joucla S, Yvert B, Mailley P, Guillemaud R. 2008. A new 3-D finite-element model based on thin-film approximation for microelectrode array recording of extracellular action potential. IEEE Tran. Bio-Medical Engg. 55:683-92.
    • (2008) IEEE Tran. Bio-Medical Engg , vol.55 , pp. 683-692
    • Moulin, C.1    Glière, A.2    Barbier, D.3    Joucla, S.4    Yvert, B.5    Mailley, P.6    Guillemaud, R.7
  • 100
    • 58149116545 scopus 로고    scopus 로고
    • Stimulus contrast modulates functional connectivity in visual cortex
    • Nauhaus I, Busse L, Carandini M, Ringach DL. 2009. Stimulus contrast modulates functional connectivity in visual cortex. Nat Neurosci. 12:70-76.
    • (2009) Nat Neurosci , vol.12 , pp. 70-76
    • Nauhaus, I.1    Busse, L.2    Carandini, M.3    Ringach, D.L.4
  • 101
    • 77952961223 scopus 로고    scopus 로고
    • Do electrode properties create a problem in interpreting local field potential recordings?
    • Nelson MJ, Pouget P. 2010. Do electrode properties create a problem in interpreting local field potential recordings? J Neurophysiol. 103:2315-2317.
    • (2010) J Neurophysiol , vol.103 , pp. 2315-2317
    • Nelson, M.J.1    Pouget, P.2
  • 102
    • 39749153477 scopus 로고    scopus 로고
    • Review of signal distortion through metal microelectrode recording circuits and filters
    • Nelson MJ, Pouget P, Nilsen EA, Patten CD, Schall JD. 2008. Review of signal distortion through metal microelectrode recording circuits and filters. J Neurosci Methods. 169:141-157.
    • (2008) J Neurosci Methods , vol.169 , pp. 141-157
    • Nelson, M.J.1    Pouget, P.2    Nilsen, E.A.3    Patten, C.D.4    Schall, J.D.5
  • 104
    • 84977507740 scopus 로고    scopus 로고
    • Active subthreshold dendritic conductances shape the local field potential
    • Ness TV, Remme MWH, Einevoll GT. 2016. Active subthreshold dendritic conductances shape the local field potential. J Physiol. 594(13):3809-3825.
    • (2016) J Physiol , vol.594 , Issue.13 , pp. 3809-3825
    • Ness, T.V.1    Remme, M.W.H.2    Einevoll, G.T.3
  • 105
    • 0038718854 scopus 로고    scopus 로고
    • The structure and function of complex networks
    • Newman ME. 2003. The structure and function of complex networks. SIAM review. 45:167-256.
    • (2003) SIAM Review , vol.45 , pp. 167-256
    • Newman, M.E.1
  • 106
    • 0016734668 scopus 로고
    • Theory of current source-density analysis and determination of conductivity tensor for anuran cerebellum
    • Nicholson C, Freeman JA. 1975. Theory of current source-density analysis and determination of conductivity tensor for anuran cerebellum. J Neurophysiol. 38:356-368.
    • (1975) J Neurophysiol , vol.38 , pp. 356-368
    • Nicholson, C.1    Freeman, J.A.2
  • 107
    • 70049083053 scopus 로고    scopus 로고
    • Towards reproducible descriptions of neuronal network models
    • Nordlie E, Gewaltig M-O, Plesser HE. 2009. Towards reproducible descriptions of neuronal network models. PLoS Comput Biol. 5:e1000456.
    • (2009) PLoS Comput Biol , vol.5 , pp. e1000456
    • Nordlie, E.1    Gewaltig, M.-O.2    Plesser, H.E.3
  • 108
    • 0037340220 scopus 로고    scopus 로고
    • Electrophysiological classes of cat primary visual cortical neurons in vivo as revealed by quantitative analyses
    • Nowak LG, Azouz R, Sanchez-Vives MV, Gray CM, McCormick DA. 2003. Electrophysiological classes of cat primary visual cortical neurons in vivo as revealed by quantitative analyses. J Neurophysiol. 89:1541-1566.
    • (2003) J Neurophysiol , vol.89 , pp. 1541-1566
    • Nowak, L.G.1    Azouz, R.2    Sanchez-Vives, M.V.3    Gray, C.M.4    McCormick, D.A.5
  • 110
    • 0038491286 scopus 로고    scopus 로고
    • Conversion of working memory to motor sequence in the monkey premotor cortex
    • Ohbayashi M, Ohki K, Miyashita Y. 2003. Conversion of working memory to motor sequence in the monkey premotor cortex. Science. 301:233-236.
    • (2003) Science , vol.301 , pp. 233-236
    • Ohbayashi, M.1    Ohki, K.2    Miyashita, Y.3
  • 111
    • 42649108053 scopus 로고    scopus 로고
    • Instantaneous correlation of excitation and inhibition during ongoing and sensory-evoked activities
    • Okun M, Lampl I. 2008. Instantaneous correlation of excitation and inhibition during ongoing and sensory-evoked activities. Nat Neurosci. 11:535-537.
    • (2008) Nat Neurosci , vol.11 , pp. 535-537
    • Okun, M.1    Lampl, I.2
  • 112
    • 84897033914 scopus 로고    scopus 로고
    • Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons
    • Ostojic S. 2014. Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons. Nat Neurosci. 17:594-600.
    • (2014) Nat Neurosci , vol.17 , pp. 594-600
    • Ostojic, S.1
  • 113
    • 33744527601 scopus 로고    scopus 로고
    • Current-source density estimation based on inversion of electrostatic forward solution: Effects of finite extent of neuronal activity and conductivity discontinuities
    • Pettersen KH, Devor A, Ulbert I, Dale AM, Einevoll GT. 2006. Current-source density estimation based on inversion of electrostatic forward solution: effects of finite extent of neuronal activity and conductivity discontinuities. J Neurosci Methods. 154:116-133.
    • (2006) J Neurosci Methods , vol.154 , pp. 116-133
    • Pettersen, K.H.1    Devor, A.2    Ulbert, I.3    Dale, A.M.4    Einevoll, G.T.5
  • 114
    • 42649142615 scopus 로고    scopus 로고
    • Estimation of population firing rates and current source densities from laminar electrode recordings
    • Pettersen KH, Hagen E, Einevoll GT. 2008. Estimation of population firing rates and current source densities from laminar electrode recordings. J Comput Neurosci. 24:291-313.
    • (2008) J Comput Neurosci , vol.24 , pp. 291-313
    • Pettersen, K.H.1    Hagen, E.2    Einevoll, G.T.3
  • 116
  • 117
    • 84894283431 scopus 로고    scopus 로고
    • The cell-type specific cortical microcircuit: Relating structure and activity in a full-scale spiking network model
    • Potjans TC, Diesmann M. 2014. The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. Cereb Cortex. 24:785-806.
    • (2014) Cereb Cortex , vol.24 , pp. 785-806
    • Potjans, T.C.1    Diesmann, M.2
  • 118
    • 0002117770 scopus 로고
    • Theoretical significance of dendritic trees for neuronal input-output relations
    • Reiss RF editor. Redwood City, CA: Stanford University Press
    • Rall W. 1964.Theoretical significance of dendritic trees for neuronal input-output relations. In: Reiss RF editor. Neural theory and modeling. Redwood City, CA: Stanford University Press.
    • (1964) Neural Theory and Modeling
    • Rall, W.1
  • 119
    • 85014894372 scopus 로고    scopus 로고
    • Rall model
    • revision 91692
    • Rall W. 2009. Rall model. Scholarpedia. 4:1369. revision 91692.
    • (2009) Scholarpedia , vol.4 , pp. 1369
    • Rall, W.1
  • 120
    • 0014352939 scopus 로고
    • Theoretical reconstruction of field potentials and dendrodendritic synaptic interactions in olfactory bulb
    • Rall W, Shepherd GM. 1968. Theoretical reconstruction of field potentials and dendrodendritic synaptic interactions in olfactory bulb. J Neurophysiol. 31:884-915.
    • (1968) J Neurophysiol , vol.31 , pp. 884-915
    • Rall, W.1    Shepherd, G.M.2
  • 121
    • 79955506950 scopus 로고    scopus 로고
    • Different origins of gamma rhythm and high-gamma activity in macaque visual cortex
    • Ray S, Maunsell JHR. 2011. Different origins of gamma rhythm and high-gamma activity in macaque visual cortex. PLoS Biology. 9:e10001610.
    • (2011) PLoS Biology , vol.9 , pp. e10001610
    • Ray, S.1    Maunsell, J.H.R.2
  • 122
    • 84880654087 scopus 로고    scopus 로고
    • A biophysically detailed model of neocortical local field potentials predicts the critical role of active membrane currents
    • Reimann MW, Anastassiou CA, Perin R, Hill SL, Markram H, Koch C. 2013. A biophysically detailed model of neocortical local field potentials predicts the critical role of active membrane currents. Neuron. 79:375-390.
    • (2013) Neuron , vol.79 , pp. 375-390
    • Reimann, M.W.1    Anastassiou, C.A.2    Perin, R.3    Hill, S.L.4    Markram, H.5    Koch, C.6
  • 124
    • 79958189174 scopus 로고    scopus 로고
    • Role of active dendritic conductances in subthreshold input integration
    • Remme MWH, Rinzel J. 2011. Role of active dendritic conductances in subthreshold input integration. J Comput Neurosci. 31:13-30.
    • (2011) J Comput Neurosci , vol.31 , pp. 13-30
    • Remme, M.W.H.1    Rinzel, J.2
  • 126
    • 84938635892 scopus 로고    scopus 로고
    • Laminar and columnar structure of sensory-evoked multineuronal spike sequences in adult rat barrel cortex in vivo
    • Reyes-Puerta V, Sun J-J, Kim S, Kilb W, Luhmann HJ. 2015. Laminar and columnar structure of sensory-evoked multineuronal spike sequences in adult rat barrel cortex in vivo. Cereb Cortex. 25:2001-2021.
    • (2015) Cereb Cortex , vol.25 , pp. 2001-2021
    • Reyes-Puerta, V.1    Sun, J.-J.2    Kim, S.3    Kilb, W.4    Luhmann, H.J.5
  • 127
    • 84954091756 scopus 로고    scopus 로고
    • Propagation of spontaneous slow-wave activity across columns and layers of the adult rat barrel cortex in vivo
    • Reyes-Puerta V, Yang J-W, Siwek ME, Kilb W, Sun J-J, Luhmann HJ. 2016. Propagation of spontaneous slow-wave activity across columns and layers of the adult rat barrel cortex in vivo. Brain Struct Funct. 1-21.
    • (2016) Brain Struct Funct , pp. 1-21
    • Reyes-Puerta, V.1    Yang, J.-W.2    Siwek, M.E.3    Kilb, W.4    Sun, J.-J.5    Luhmann, H.J.6
  • 128
    • 84875048075 scopus 로고    scopus 로고
    • Mapping the spatio-temporal structure of motor cortical LFP and spiking activities during reach-to-grasp movements
    • Riehle A, Wirtssohn S, Grün S, Brochier T. 2013. Mapping the spatio-temporal structure of motor cortical LFP and spiking activities during reach-to-grasp movements. Front Neural Circuits. 7:1-15.
    • (2013) Front Neural Circuits , vol.7 , pp. 1-15
    • Riehle, A.1    Wirtssohn, S.2    Grün, S.3    Brochier, T.4
  • 129
    • 84937994376 scopus 로고
    • The electrical properties of metal microelectrodes
    • Robinson DA. 1968. The electrical properties of metal microelectrodes. Proceedings of the IEEE. 56:1065-1071.
    • (1968) Proceedings of the IEEE , vol.56 , pp. 1065-1071
    • Robinson, D.A.1
  • 131
    • 0033220632 scopus 로고    scopus 로고
    • Exact digital simulation of time-invariant linear systems with applications to neuronal modeling
    • Rotter S, Diesmann M. 1999. Exact digital simulation of time-invariant linear systems with applications to neuronal modeling. Biol Cybern. 81:381-402.
    • (1999) Biol Cybern , vol.81 , pp. 381-402
    • Rotter, S.1    Diesmann, M.2
  • 132
    • 0014591321 scopus 로고
    • Subthreshold oscillatory responses of the Hodgkin-Huxley cable model for the squid giant axon
    • Sabah NH, Leibovic KN. 1969. Subthreshold oscillatory responses of the Hodgkin-Huxley cable model for the squid giant axon. Biophys J. 9:1206-1222.
    • (1969) Biophys J , vol.9 , pp. 1206-1222
    • Sabah, N.H.1    Leibovic, K.N.2
  • 133
    • 70350780558 scopus 로고    scopus 로고
    • Laminar structure of spontaneous and sensory-evoked population activity in auditory cortex
    • Sakata S, Harris KD. 2009. Laminar structure of spontaneous and sensory-evoked population activity in auditory cortex. Neuron. 64:404-418.
    • (2009) Neuron , vol.64 , pp. 404-418
    • Sakata, S.1    Harris, K.D.2
  • 134
    • 36048980644 scopus 로고    scopus 로고
    • Modeling a layer 4-to-layer 2/3 module of a single column in rat neocortex: Interweaving in vitro and in vivo experimental observations
    • Sarid L, Bruno R, Sakmann B, Segev I, Feldmeyer D. 2007. Modeling a layer 4-to-layer 2/3 module of a single column in rat neocortex: interweaving in vitro and in vivo experimental observations. Proc Natl Acad Sci. 104:16353-16358.
    • (2007) Proc Natl Acad Sci. , vol.104 , pp. 16353-16358
    • Sarid, L.1    Bruno, R.2    Sakmann, B.3    Segev, I.4    Feldmeyer, D.5
  • 137
    • 84949234388 scopus 로고    scopus 로고
    • Modulated escape from a metastable state driven by colored noise
    • Schuecker J, Diesmann M, Helias M. 2015. Modulated escape from a metastable state driven by colored noise. Physical Review E. 92:052119.
    • (2015) Physical Review E. , vol.92 , pp. 052119
    • Schuecker, J.1    Diesmann, M.2    Helias, M.3
  • 139
    • 0032525177 scopus 로고    scopus 로고
    • The variable discharge of cortical neurons: Implications for connectivity, computation, and information coding
    • Shadlen MN, Newsome WT. 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.N.1    Newsome, W.T.2
  • 140
    • 0027498486 scopus 로고
    • The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs
    • Softky WR, Koch C. 1993. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J Neurosci. 13:334-350.
    • (1993) J Neurosci , vol.13 , pp. 334-350
    • Softky, W.R.1    Koch, C.2
  • 141
  • 143
    • 0036759642 scopus 로고    scopus 로고
    • Activation of a cortical column by a thalamocortical impulse
    • Swadlow HA, Gusev AG, Bezdudnaya T. 2002. Activation of a cortical column by a thalamocortical impulse. J Neurosci. 22: 7766-7773.
    • (2002) J Neurosci , vol.22 , pp. 7766-7773
    • Swadlow, H.A.1    Gusev, A.G.2    Bezdudnaya, T.3
  • 144
    • 70349295234 scopus 로고    scopus 로고
    • Current source density profiles of stimulus-specific adaptation in rat auditory cortex
    • Szymanski FD, Garcia-Lazaro JA, Schnupp JWH. 2009. Current source density profiles of stimulus-specific adaptation in rat auditory cortex. J Neurophysiol. 102:1483-1490.
    • (2009) J Neurophysiol , vol.102 , pp. 1483-1490
    • Szymanski, F.D.1    Garcia-Lazaro, J.A.2    Schnupp, J.W.H.3
  • 145
    • 80155148206 scopus 로고    scopus 로고
    • The laminar and temporal structure of stimulus information in the phase of field potentials of auditory cortex
    • Szymanski FD, Rabinowitz NC, Magri C, Panzeri S, Schnupp JWH. 2011. The laminar and temporal structure of stimulus information in the phase of field potentials of auditory cortex. J Neurosci. 31:15787-15801.
    • (2011) J Neurosci , vol.31 , pp. 15787-15801
    • Szymanski, F.D.1    Rabinowitz, N.C.2    Magri, C.3    Panzeri, S.4    Schnupp, J.W.H.5
  • 147
    • 84897547385 scopus 로고    scopus 로고
    • Computational implications of lognormally distributed synaptic weights
    • Teramae J-N, Fukai T. 2014. Computational implications of lognormally distributed synaptic weights. Proc. IEEE. 102: 500-512.
    • (2014) Proc. IEEE , vol.102 , pp. 500-512
    • Teramae, J.-N.1    Fukai, T.2
  • 148
  • 149
    • 79955954747 scopus 로고    scopus 로고
    • Monte Carlo simulation of the spatial resolution and depth sensitivity of two-dimensional optical imaging of the brain
    • Tian P, Devor A, Sakadžíc S, Dale AM, Boas DA. 2011. Monte Carlo simulation of the spatial resolution and depth sensitivity of two-dimensional optical imaging of the brain. J Biomed Opt. 16:016006.
    • (2011) J Biomed Opt , vol.16 , pp. 016006
    • Tian, P.1    Devor, A.2    Sakadžíc, S.3    Dale, A.M.4    Boas, D.A.5
  • 150
    • 84933180064 scopus 로고    scopus 로고
    • Virtual electrode recording tool for extracellular potentials (VERTEX): Comparing multi-electrode recordings from simulated and biological mammalian cortical tissue
    • Tomsett RJ, Ainsworth M, Thiele A, Sanayei M, Chen X, Gieselmann MA, Whittington MA, Cunningham MO, Kaiser M. 2014. Virtual electrode recording tool for extracellular potentials (VERTEX): comparing multi-electrode recordings from simulated and biological mammalian cortical tissue. Brain Struct Func. 220: 2333-2353.
    • (2014) Brain Struct Func , vol.220 , pp. 2333-2353
    • Tomsett, R.J.1    Ainsworth, M.2    Thiele, A.3    Sanayei, M.4    Chen, X.5    Gieselmann, M.A.6    Whittington, M.A.7    Cunningham, M.O.8    Kaiser, M.9
  • 151
    • 84908170994 scopus 로고    scopus 로고
    • Context-aware modeling of neuronal morphologies
    • Torben-Nielsen B, De Schutter E. 2014. Context-aware modeling of neuronal morphologies. Front Neuroanat. 8:1-14.
    • (2014) Front Neuroanat , vol.8 , pp. 1-14
    • Torben-Nielsen, B.1    De Schutter, E.2
  • 152
    • 33746914411 scopus 로고    scopus 로고
    • Travelling waves and EEG patterns during epileptic seizure: Analysis with an integrate-and-fire neural network
    • Ursino M, La Cara G-E. 2006. Travelling waves and EEG patterns during epileptic seizure: analysis with an integrate-and-fire neural network. J Theor Biol. 242:171-187.
    • (2006) J Theor Biol , vol.242 , pp. 171-187
    • Ursino, M.1    La Cara, G.-E.2
  • 153
    • 84943561661 scopus 로고    scopus 로고
    • Scalability of asynchronous networks is limited by one-to-one mapping between effective connectivity and correlations
    • van Albada SJ, Helias M, Diesmann M. 2015. Scalability of asynchronous networks is limited by one-to-one mapping between effective connectivity and correlations. PLoS Comput Biol. 11:e1004490.
    • (2015) PLoS Comput Biol , vol.11 , pp. e1004490
    • Van Albada, S.J.1    Helias, M.2    Diesmann, M.3
  • 155
    • 0029835892 scopus 로고    scopus 로고
    • Chaos in neuronal networks with balanced excitatory and inhibitory activity
    • van Vreeswijk C, Sompolinsky H. 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
  • 157
    • 84908144695 scopus 로고
    • The use of fast fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms
    • Welch PD. 1967. The use of fast fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans. Audio Electroacoustics. 15:70-73.
    • (1967) IEEE Trans. Audio Electroacoustics , vol.15 , pp. 70-73
    • Welch, P.D.1
  • 158
    • 84948967636 scopus 로고    scopus 로고
    • A sparse reformulation of the Green's function formalism allows efficient simulations of morphological neuron models
    • Wybo WAM, Boccalini D, Torben-Nielsen B, Gewaltig M-O. 2015. A sparse reformulation of the Green's function formalism allows efficient simulations of morphological neuron models. Neural Comput. 27:2587-2622.
    • (2015) Neural Comput. , vol.27 , pp. 2587-2622
    • Wybo, W.A.M.1    Boccalini, D.2    Torben-Nielsen, B.3    Gewaltig, M.-O.4
  • 159
    • 84890981528 scopus 로고    scopus 로고
    • The Green's function formalism as a bridge between single-and multi- compartmental modeling
    • Wybo WAM, Stiefel KM, Torben-Nielsen B. 2013. The Green's function formalism as a bridge between single-and multi- compartmental modeling. Biol Cybern. 107:685-694.
    • (2013) Biol Cybern , vol.107 , pp. 685-694
    • Wybo, W.A.M.1    Stiefel, K.M.2    Torben-Nielsen, B.3
  • 160
    • 84959517219 scopus 로고    scopus 로고
    • Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times
    • Yamauchi S, Kim H, Shinomoto S. 2011. Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times. Front Comput Neurosci. 5: 1-15.
    • (2011) Front Comput Neurosci , vol.5 , pp. 1-15
    • Yamauchi, S.1    Kim, H.2    Shinomoto, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.