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Volumn 12, Issue 8, 2016, Pages

Higher-Order Synaptic Interactions Coordinate Dynamics in Recurrent Networks

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICS;

EID: 84988947913     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1005078     Document Type: Article
Times cited : (26)

References (59)
  • 1
    • 84904997336 scopus 로고    scopus 로고
    • Dynamic circuit motifs underlying rhythmic gain control, gating and integration
    • Womelsdorf T, Valiante TA, Sahin NT, Miller KJ, Tiesinga P, Dynamic circuit motifs underlying rhythmic gain control, gating and integration. Nat Neurosci. 2014;17: 1031–1039. doi: 10.1038/nn.376425065440
    • (2014) Nat Neurosci , vol.17 , pp. 1031-1039
    • Womelsdorf, T.1    Valiante, T.A.2    Sahin, N.T.3    Miller, K.J.4    Tiesinga, P.5
  • 3
    • 84864870465 scopus 로고    scopus 로고
    • Self-organized synchronization in decentralized power grids
    • Rohden M, Sorge A, Timme M, Witthaut D, Self-organized synchronization in decentralized power grids. Phys Rev Lett. 2012;109: 64101.
    • (2012) Phys Rev Lett , vol.109 , pp. 64101
    • Rohden, M.1    Sorge, A.2    Timme, M.3    Witthaut, D.4
  • 4
    • 0036578795 scopus 로고    scopus 로고
    • Network motifs in the transcriptional regulation network of Escherichia coli
    • 11967538,.;: –
    • Shen-Orr SS, Milo R, Mangan S, Alon U, Network motifs in the transcriptional regulation network of Escherichia coli. Nat Genet. 2002;31: 64–68. 11967538
    • (2002) Nat Genet , vol.31 , pp. 64-68
    • Shen-Orr, S.S.1    Milo, R.2    Mangan, S.3    Alon, U.4
  • 5
    • 84885420310 scopus 로고    scopus 로고
    • Universality in network dynamics
    • Barzel B, Barabási A-L, Universality in network dynamics. Nat Phys. 2013;9: 673–681. doi: 10.1038/nphys2741
    • (2013) Nat Phys , vol.9 , pp. 673-681
    • Barzel, B.1    Barabási, A.-L.2
  • 6
    • 84948099899 scopus 로고    scopus 로고
    • Packet-based communication in the cortex
    • .; Available:
    • Luczak A, McNaughton BL, Harris KD, Packet-based communication in the cortex. Nat Rev Neurosci. 2015; Available: http://www.nature.com/nrn/journal/vaop/ncurrent/full/nrn4026.html
    • (2015) Nat Rev Neurosci
    • Luczak, A.1    McNaughton, B.L.2    Harris, K.D.3
  • 7
    • 65549125349 scopus 로고    scopus 로고
    • Spontaneous events outline the realm of possible sensory responses in neocortical populations
    • 19447096,.;: –
    • Luczak A, Barthó P, Harris KD, Spontaneous events outline the realm of possible sensory responses in neocortical populations. Neuron. 2009;62: 413–425. doi: 10.1016/j.neuron.2009.03.01419447096
    • (2009) Neuron , vol.62 , pp. 413-425
    • Luczak, A.1    Barthó, P.2    Harris, K.D.3
  • 9
    • 84901783601 scopus 로고    scopus 로고
    • Mouse visual neocortex supports multiple stereotyped patterns of microcircuit activity
    • 24899701,.;: –
    • Sadovsky AJ, MacLean JN, Mouse visual neocortex supports multiple stereotyped patterns of microcircuit activity. J Neurosci. 2014;34: 7769–7777. doi: 10.1523/JNEUROSCI.0169-14.201424899701
    • (2014) J Neurosci , vol.34 , pp. 7769-7777
    • Sadovsky, A.J.1    MacLean, J.N.2
  • 10
    • 84859468294 scopus 로고    scopus 로고
    • Choice-specific sequences in parietal cortex during a virtual-navigation decision task
    • 22419153,.;: –
    • Harvey CD, Coen P, Tank DW, Choice-specific sequences in parietal cortex during a virtual-navigation decision task. Nature. 2012;484: 62–68. doi: 10.1038/nature1091822419153
    • (2012) Nature , vol.484 , pp. 62-68
    • Harvey, C.D.1    Coen, P.2    Tank, D.W.3
  • 11
    • 84980488187 scopus 로고    scopus 로고
    • Decoding thalamic afferent input using microcircuit spiking activity
    • .; jn.00885.2014
    • Sederberg AJ, Palmer SE, MacLean JN, Decoding thalamic afferent input using microcircuit spiking activity. J Neurophysiol. 2015; jn.00885.2014. doi: 10.1152/jn.00885.2014
    • (2015) J Neurophysiol
    • Sederberg, A.J.1    Palmer, S.E.2    MacLean, J.N.3
  • 12
    • 18044383304 scopus 로고    scopus 로고
    • Highly nonrandom features of synaptic connectivity in local cortical circuits
    • 15737062,.;:
    • Song S, Sjöström PJ, Reigl M, Nelson S, Chklovskii DB, Highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS Biol. 2005;3: e68. 15737062
    • (2005) PLoS Biol , vol.3 , pp. e68
    • Song, S.1    Sjöström, P.J.2    Reigl, M.3    Nelson, S.4    Chklovskii, D.B.5
  • 13
    • 28744437922 scopus 로고    scopus 로고
    • Internal dynamics determine the cortical response to thalamic stimulation
    • 16337918,.;: –
    • MacLean JN, Watson BO, Aaron GB, Yuste R, Internal dynamics determine the cortical response to thalamic stimulation. Neuron. 2005;48: 811–823. doi: 10.1016/j.neuron.2005.09.03516337918
    • (2005) Neuron , vol.48 , pp. 811-823
    • MacLean, J.N.1    Watson, B.O.2    Aaron, G.B.3    Yuste, R.4
  • 14
    • 84882956437 scopus 로고    scopus 로고
    • Scaling of Topologically Similar Functional Modules Defines Mouse Primary Auditory and Somatosensory Microcircuitry
    • 23986241,.;: –
    • Sadovsky AJ, MacLean JN, Scaling of Topologically Similar Functional Modules Defines Mouse Primary Auditory and Somatosensory Microcircuitry. J Neurosci. 2013;33: 14048–14060. doi: 10.1523/JNEUROSCI.1977-13.201323986241
    • (2013) J Neurosci , vol.33 , pp. 14048-14060
    • Sadovsky, A.J.1    MacLean, J.N.2
  • 15
    • 77649130525 scopus 로고    scopus 로고
    • Functional organization and population dynamics in the mouse primary auditory cortex
    • 20118927,.;: –
    • Rothschild G, Nelken I, Mizrahi A, Functional organization and population dynamics in the mouse primary auditory cortex. Nat Neurosci. 2010;13: 353–360. doi: 10.1038/nn.248420118927
    • (2010) Nat Neurosci , vol.13 , pp. 353-360
    • Rothschild, G.1    Nelken, I.2    Mizrahi, A.3
  • 16
    • 84891940782 scopus 로고    scopus 로고
    • Mechanisms underlying subunit independence in pyramidal neuron dendrites
    • 24357611,.;: –
    • Behabadi BF, Mel BW, Mechanisms underlying subunit independence in pyramidal neuron dendrites. Proc Natl Acad Sci. 2014;111: 498–503. doi: 10.1073/pnas.121764511124357611
    • (2014) Proc Natl Acad Sci , vol.111 , pp. 498-503
    • Behabadi, B.F.1    Mel, B.W.2
  • 17
    • 85135545325 scopus 로고    scopus 로고
    • Cazé RD, Humphries M, Gutkin B. Passive dendrites enable single neurons to compute linearly non-separable functions. 2013; Available:
    • Cazé RD, Humphries M, Gutkin B. Passive dendrites enable single neurons to compute linearly non-separable functions. 2013; Available: http://dx.plos.org/10.1371/journal.pcbi.1002867
  • 19
    • 84926335125 scopus 로고    scopus 로고
    • Physiology of Layer 5 Pyramidal Neurons in Mouse Primary Visual Cortex: Coincidence Detection through Bursting
    • .;: Art–No
    • Shai AS, Anastassiou CA, Larkum ME, Koch C, Physiology of Layer 5 Pyramidal Neurons in Mouse Primary Visual Cortex: Coincidence Detection through Bursting. PLoS Comput Biol. 2015;11: Art–No.
    • (2015) PLoS Comput Biol , vol.11
    • Shai, A.S.1    Anastassiou, C.A.2    Larkum, M.E.3    Koch, C.4
  • 20
    • 84870977809 scopus 로고    scopus 로고
    • Nonlinear dendritic integration of sensory and motor input during an active sensing task
    • 23143335,..;: –
    • Xu N, Harnett MT, Williams SR, Huber D, O’Connor DH, Svoboda K, et al. Nonlinear dendritic integration of sensory and motor input during an active sensing task. Nature. 2012;492: 247–251. doi: 10.1038/nature1160123143335
    • (2012) Nature , vol.492 , pp. 247-251
    • Xu, N.1    Harnett, M.T.2    Williams, S.R.3    Huber, D.4    O’Connor, D.H.5    Svoboda, K.6
  • 21
    • 0141499222 scopus 로고    scopus 로고
    • The high-conductance state of neocortical neurons in vivo
    • 12951566,.;: –
    • Destexhe A, Rudolph M, Paré D, The high-conductance state of neocortical neurons in vivo. Nat Rev Neurosci. 2003;4: 739–751. 12951566
    • (2003) Nat Rev Neurosci , vol.4 , pp. 739-751
    • Destexhe, A.1    Rudolph, M.2    Paré, D.3
  • 22
    • 33644502605 scopus 로고    scopus 로고
    • State-dependent dendritic computation in hippocampal CA1 pyramidal neurons
    • 16481442,.;: –
    • Gasparini S, Magee JC, State-dependent dendritic computation in hippocampal CA1 pyramidal neurons. J Neurosci. 2006;26: 2088–2100. 16481442
    • (2006) J Neurosci , vol.26 , pp. 2088-2100
    • Gasparini, S.1    Magee, J.C.2
  • 24
    • 0033559399 scopus 로고    scopus 로고
    • Cellular mechanisms contributing to response variability of cortical neurons in vivo
    • Azouz R, Gray CM, Cellular mechanisms contributing to response variability of cortical neurons in vivo. J Neurosci Off J Soc Neurosci. 1999;19: 2209–2223.
    • (1999) J Neurosci Off J Soc Neurosci , vol.19 , pp. 2209-2223
    • Azouz, R.1    Gray, C.M.2
  • 25
    • 0032430913 scopus 로고    scopus 로고
    • Calcium electrogenesis in neocortical pyramidal neurons in vivo
    • 9786210,.;: –
    • Paré D, Lang EJ, Calcium electrogenesis in neocortical pyramidal neurons in vivo. Eur J Neurosci. 1998;10: 3164–3170. 9786210
    • (1998) Eur J Neurosci , vol.10 , pp. 3164-3170
    • Paré, D.1    Lang, E.J.2
  • 26
    • 84895746842 scopus 로고    scopus 로고
    • The function of metabotropic glutamate receptors in thalamus and cortex
    • .; 1073858413478490
    • Sherman SM, The function of metabotropic glutamate receptors in thalamus and cortex. The Neuroscientist. 2013; 1073858413478490.
    • (2013) The Neuroscientist
    • Sherman, S.M.1
  • 27
    • 84871809252 scopus 로고    scopus 로고
    • Inhibition dominates sensory responses in the awake cortex
    • 23172139,.;: –
    • Haider B, Häusser M, Carandini M, Inhibition dominates sensory responses in the awake cortex. Nature. 2013;493: 97–100. doi: 10.1038/nature1166523172139
    • (2013) Nature , vol.493 , pp. 97-100
    • Haider, B.1    Häusser, M.2    Carandini, M.3
  • 28
    • 59149098766 scopus 로고    scopus 로고
    • Pajevic S, Plenz D. Efficient network reconstruction from dynamical cascades identifies small-world topology of neuronal avalanches. 2009; Available:
    • Pajevic S, Plenz D. Efficient network reconstruction from dynamical cascades identifies small-world topology of neuronal avalanches. 2009; Available: http://dx.plos.org/10.1371/journal.pcbi.1000271
  • 30
    • 84948675392 scopus 로고    scopus 로고
    • Functional clusters, hubs, and communities in the cortical microconnectome
    • 25336598,.;: –
    • Shimono M, Beggs JM, Functional clusters, hubs, and communities in the cortical microconnectome. Cereb Cortex. 2015;25: 3743–3757. doi: 10.1093/cercor/bhu25225336598
    • (2015) Cereb Cortex , vol.25 , pp. 3743-3757
    • Shimono, M.1    Beggs, J.M.2
  • 31
    • 84955071899 scopus 로고    scopus 로고
    • Rich-Club Organization in Effective Connectivity among Cortical Neurons
    • 26791200,..;: –
    • Nigam S, Shimono M, Ito S, Yeh F-C, Timme N, Myroshnychenko M, et al. Rich-Club Organization in Effective Connectivity among Cortical Neurons. J Neurosci. 2016;36: 670–684. doi: 10.1523/JNEUROSCI.2177-15.201626791200
    • (2016) J Neurosci , vol.36 , pp. 670-684
    • Nigam, S.1    Shimono, M.2    Ito, S.3    Yeh, F.-C.4    Timme, N.5    Myroshnychenko, M.6
  • 32
    • 0032482432 scopus 로고    scopus 로고
    • Collective dynamics of “small-world”networks
    • 9623998,.;: –
    • Watts DJ, Strogatz SH, Collective dynamics of “small-world”networks. nature. 1998;393: 440–442. 9623998
    • (1998) Nature , vol.393 , pp. 440-442
    • Watts, D.J.1    Strogatz, S.H.2
  • 33
    • 44349168786 scopus 로고    scopus 로고
    • Network “small-world-ness”: a quantitative method for determining canonical network equivalence
    • 18446219,.;:
    • Humphries MD, Gurney K, Network “small-world-ness”: a quantitative method for determining canonical network equivalence. PloS One. 2008;3: e0002051. doi: 10.1371/journal.pone.000205118446219
    • (2008) PloS One , vol.3 , pp. e0002051
    • Humphries, M.D.1    Gurney, K.2
  • 34
    • 84866936374 scopus 로고    scopus 로고
    • Small-world topology of functional connectivity in randomly connected dynamical systems
    • Hlinka J, Hartman D, Paluš M, Small-world topology of functional connectivity in randomly connected dynamical systems. Chaos Interdiscip J Nonlinear Sci. 2012;22: 33107.
    • (2012) Chaos Interdiscip J Nonlinear Sci , vol.22 , pp. 33107
    • Hlinka, J.1    Hartman, D.2    Paluš, M.3
  • 35
    • 84941897268 scopus 로고    scopus 로고
    • Multineuronal activity patterns identify selective synaptic connections under realistic experimental constraints
    • 26203109,.;: –
    • Chambers B, MacLean JN, Multineuronal activity patterns identify selective synaptic connections under realistic experimental constraints. J Neurophysiol. 2015;114: 1837–1849. doi: 10.1152/jn.00429.201526203109
    • (2015) J Neurophysiol , vol.114 , pp. 1837-1849
    • Chambers, B.1    MacLean, J.N.2
  • 36
    • 84899599077 scopus 로고    scopus 로고
    • Circuit reactivation dynamically regulates synaptic plasticity in neocortex
    • .;. Available:
    • Kruskal PB, Li L, MacLean JN, Circuit reactivation dynamically regulates synaptic plasticity in neocortex. Nat Commun. 2013;4. Available: http://www.nature.com/ncomms/2013/131010/ncomms3574/full/ncomms3574.html
    • (2013) Nat Commun , vol.4
    • Kruskal, P.B.1    Li, L.2    MacLean, J.N.3
  • 37
    • 0017926609 scopus 로고
    • Identification of functionally related neural assemblies
    • 203363,.;: –
    • Gerstein GL, Perkel DH, Subramanian KN, Identification of functionally related neural assemblies. Brain Res. 1978;140: 43–62. 203363
    • (1978) Brain Res , vol.140 , pp. 43-62
    • Gerstein, G.L.1    Perkel, D.H.2    Subramanian, K.N.3
  • 38
    • 34548065453 scopus 로고    scopus 로고
    • Clustering in complex directed networks
    • Fagiolo G, Clustering in complex directed networks. Phys Rev E. 2007;76: 26107.
    • (2007) Phys Rev E , vol.76 , pp. 26107
    • Fagiolo, G.1
  • 39
    • 79955101961 scopus 로고    scopus 로고
    • A synaptic organizing principle for cortical neuronal groups
    • 21383177,.;: –
    • Perin R, Berger TK, Markram H, A synaptic organizing principle for cortical neuronal groups. Proc Natl Acad Sci. 2011;108: 5419–5424. doi: 10.1073/pnas.101605110821383177
    • (2011) Proc Natl Acad Sci , vol.108 , pp. 5419-5424
    • Perin, R.1    Berger, T.K.2    Markram, H.3
  • 40
    • 80052559625 scopus 로고    scopus 로고
    • Heuristically optimal path scanning for high-speed multiphoton circuit imaging
    • 21715667,.;: –
    • Sadovsky AJ, Kruskal PB, Kimmel JM, Ostmeyer J, Neubauer FB, MacLean JN, Heuristically optimal path scanning for high-speed multiphoton circuit imaging. J Neurophysiol. 2011;106: 1591–1598. doi: 10.1152/jn.00334.201121715667
    • (2011) J Neurophysiol , vol.106 , pp. 1591-1598
    • Sadovsky, A.J.1    Kruskal, P.B.2    Kimmel, J.M.3    Ostmeyer, J.4    Neubauer, F.B.5    MacLean, J.N.6
  • 41
    • 84959421643 scopus 로고    scopus 로고
    • Small-World Propensity and Weighted Brain Networks
    • Muldoon SF, Bridgeford EW, Bassett DS, Small-World Propensity and Weighted Brain Networks. Sci Rep. 2016;6. doi: 10.1038/srep22057
    • (2016) Sci Rep , vol.6
    • Muldoon, S.F.1    Bridgeford, E.W.2    Bassett, D.S.3
  • 43
    • 84951101274 scopus 로고    scopus 로고
    • Input nonlinearities can shape beyond-pairwise correlations and improve information transmission by neural populations
    • Zylberberg J, Shea-Brown E, Input nonlinearities can shape beyond-pairwise correlations and improve information transmission by neural populations. Phys Rev E. 2015;92: 62707. doi: 10.1103/PhysRevE.92.062707
    • (2015) Phys Rev E , vol.92 , pp. 62707
    • Zylberberg, J.1    Shea-Brown, E.2
  • 44
    • 84943175194 scopus 로고    scopus 로고
    • Network motifs emerge from interconnections that favour stability
    • Angulo MT, Liu Y-Y, Slotine J-J, Network motifs emerge from interconnections that favour stability. Nat Phys. 2015;11: 848–852. doi: 10.1038/nphys3402
    • (2015) Nat Phys , vol.11 , pp. 848-852
    • Angulo, M.T.1    Liu, Y.-Y.2    Slotine, J.-J.3
  • 45
    • 0027498486 scopus 로고
    • The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs
    • 8423479,.;: –
    • Softky WR, Koch C, The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J Neurosci. 1993;13: 334–350. 8423479
    • (1993) J Neurosci , vol.13 , pp. 334-350
    • Softky, W.R.1    Koch, C.2
  • 46
    • 84959480311 scopus 로고    scopus 로고
    • Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring
    • 26866369,.;:
    • Miner D, Triesch J, Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring. PLOS Comput Biol. 2016;12: e1004759. doi: 10.1371/journal.pcbi.100475926866369
    • (2016) PLOS Comput Biol , vol.12 , pp. e1004759
    • Miner, D.1    Triesch, J.2
  • 47
    • 84892640984 scopus 로고    scopus 로고
    • The brian simulator
    • 20011141,.;:
    • Goodman DF, Brette R, The brian simulator. Front Neurosci. 2009;3: 192. doi: 10.3389/neuro.01.026.200920011141
    • (2009) Front Neurosci , vol.3 , pp. 192
    • Goodman, D.F.1    Brette, R.2
  • 48
    • 58549118757 scopus 로고    scopus 로고
    • The excitatory neuronal network of the C2 barrel column in mouse primary somatosensory cortex
    • 19186171,.;: –
    • Lefort S, Tomm C, Sarria J-CF, Petersen CC, The excitatory neuronal network of the C2 barrel column in mouse primary somatosensory cortex. Neuron. 2009;61: 301–316. doi: 10.1016/j.neuron.2008.12.02019186171
    • (2009) Neuron , vol.61 , pp. 301-316
    • Lefort, S.1    Tomm, C.2    Sarria, J.-C.F.3    Petersen, C.C.4
  • 49
    • 84863810976 scopus 로고    scopus 로고
    • Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links
    • .;. Available:
    • Teramae J, Tsubo Y, Fukai T, Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links. Sci Rep. 2012;2. Available: http://www.nature.com/srep/2012/120702/srep00485/full/srep00485.html
    • (2012) Sci Rep , vol.2
    • Teramae, J.1    Tsubo, Y.2    Fukai, T.3
  • 50
    • 37749044130 scopus 로고    scopus 로고
    • The high-conductance state of cortical networks
    • 18044999,.;: –
    • Kumar A, Schrader S, Aertsen A, Rotter S, The high-conductance state of cortical networks. Neural Comput. 2008;20: 1–43. 18044999
    • (2008) Neural Comput , vol.20 , pp. 1-43
    • Kumar, A.1    Schrader, S.2    Aertsen, A.3    Rotter, S.4
  • 51
    • 0034006515 scopus 로고    scopus 로고
    • Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons
    • 10809012,.;: –
    • Brunel N, Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. J Comput Neurosci. 2000;8: 183–208. 10809012
    • (2000) J Comput Neurosci , vol.8 , pp. 183-208
    • Brunel, N.1
  • 52
    • 84897033914 scopus 로고    scopus 로고
    • Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons
    • 24561997,.;: –
    • Ostojic S, Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons. Nat Neurosci. 2014;17: 594–600. doi: 10.1038/nn.365824561997
    • (2014) Nat Neurosci , vol.17 , pp. 594-600
    • Ostojic, S.1
  • 53
    • 77955979385 scopus 로고    scopus 로고
    • Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding
    • 20725095,.;: –
    • Kumar A, Rotter S, Aertsen A, Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding. Nat Rev Neurosci. 2010;11: 615–627. doi: 10.1038/nrn288620725095
    • (2010) Nat Rev Neurosci , vol.11 , pp. 615-627
    • Kumar, A.1    Rotter, S.2    Aertsen, A.3
  • 54
    • 0348010295 scopus 로고    scopus 로고
    • Neuronal avalanches in neocortical circuits
    • 14657176,.;: –
    • Beggs JM, Plenz D, Neuronal avalanches in neocortical circuits. J Neurosci. 2003;23: 11167–11177. 14657176
    • (2003) J Neurosci , vol.23 , pp. 11167-11177
    • Beggs, J.M.1    Plenz, D.2
  • 55
    • 18144382578 scopus 로고    scopus 로고
    • Critical branching captures activity in living neural networks and maximizes the number of metastable states
    • Haldeman C, Beggs JM, Critical branching captures activity in living neural networks and maximizes the number of metastable states. Phys Rev Lett. 2005;94: 58101.
    • (2005) Phys Rev Lett , vol.94 , pp. 58101
    • Haldeman, C.1    Beggs, J.M.2
  • 56
    • 77957551168 scopus 로고    scopus 로고
    • Self-organized criticality occurs in non-conservative neuronal networks during Up states
    • 21804861,.;: –
    • Millman D, Mihalas S, Kirkwood A, Niebur E, Self-organized criticality occurs in non-conservative neuronal networks during Up states. Nat Phys. 2010;6: 801–805. doi: 10.1038/nphys175721804861
    • (2010) Nat Phys , vol.6 , pp. 801-805
    • Millman, D.1    Mihalas, S.2    Kirkwood, A.3    Niebur, E.4
  • 57
    • 77957565867 scopus 로고    scopus 로고
    • Emergent complex neural dynamics
    • Chialvo DR, Emergent complex neural dynamics. Nat Phys. 2010;6: 744–750. doi: 10.1038/nphys1803
    • (2010) Nat Phys , vol.6 , pp. 744-750
    • Chialvo, D.R.1
  • 58
    • 79952761102 scopus 로고    scopus 로고
    • Synaptic mechanisms underlying sparse coding of active touch
    • 21435560,.;: –
    • Crochet S, Poulet JF, Kremer Y, Petersen CC, Synaptic mechanisms underlying sparse coding of active touch. Neuron. 2011;69: 1160–1175. doi: 10.1016/j.neuron.2011.02.02221435560
    • (2011) Neuron , vol.69 , pp. 1160-1175
    • Crochet, S.1    Poulet, J.F.2    Kremer, Y.3    Petersen, C.C.4
  • 59
    • 84906909902 scopus 로고    scopus 로고
    • Acetylcholine functionally reorganizes neocortical microcircuits
    • 24872527,.;: –
    • Runfeldt MJ, Sadovsky AJ, MacLean JN, Acetylcholine functionally reorganizes neocortical microcircuits. J Neurophysiol. 2014;112: 1205–1216. doi: 10.1152/jn.00071.201424872527
    • (2014) J Neurophysiol , vol.112 , pp. 1205-1216
    • Runfeldt, M.J.1    Sadovsky, A.J.2    MacLean, J.N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.