메뉴 건너뛰기




Volumn 25, Issue , 2014, Pages 149-155

Single neuron dynamics and computation

Author keywords

[No Author keywords available]

Indexed keywords

BIOPHYSICS; CALCULATION; DENDRITE; FILTRATION; GENERALIZED LINEAR MODEL; LINEAR NON LINEAR POISSON; NERVE CELL PLASTICITY; NERVOUS SYSTEM ELECTROPHYSIOLOGY; NEUROANATOMY; NONLINEAR SYSTEM; PRIORITY JOURNAL; REVIEW; STATISTICAL MODEL; ANIMAL; BIOLOGICAL MODEL; ELECTROPHYSIOLOGY; HUMAN; NERVE CELL; PHYSIOLOGY;

EID: 84893382493     PISSN: 09594388     EISSN: 18736882     Source Type: Journal    
DOI: 10.1016/j.conb.2014.01.005     Document Type: Review
Times cited : (64)

References (75)
  • 1
    • 7244229524 scopus 로고    scopus 로고
    • Synaptic computation
    • Abbott L.F., Regehr W.G. Synaptic computation. Nature 2004, 431:796-803.
    • (2004) Nature , vol.431 , pp. 796-803
    • Abbott, L.F.1    Regehr, W.G.2
  • 2
    • 0031024005 scopus 로고    scopus 로고
    • Synaptic depression and cortical gain control
    • Abbott L.F., Varela J.A., Sen K., Nelson S.B. Synaptic depression and cortical gain control. Science 1997, 275:220-224.
    • (1997) Science , vol.275 , pp. 220-224
    • Abbott, L.F.1    Varela, J.A.2    Sen, K.3    Nelson, S.B.4
  • 3
    • 84858629944 scopus 로고    scopus 로고
    • Thin dendrites of cerebellar interneurons confer sublinear synaptic integration and a gradient of short-term plasticity
    • Abrahamsson T., Cathala L., Matsui K., Shigemoto R., Digregorio D.A. Thin dendrites of cerebellar interneurons confer sublinear synaptic integration and a gradient of short-term plasticity. Neuron 2012, 73:1159-1172.
    • (2012) Neuron , vol.73 , pp. 1159-1172
    • Abrahamsson, T.1    Cathala, L.2    Matsui, K.3    Shigemoto, R.4    Digregorio, D.A.5
  • 4
    • 36149037647 scopus 로고
    • Effective neurons and attractor neural networks in cortical environment
    • Amit D.J., Tsodyks M.V. Effective neurons and attractor neural networks in cortical environment. Network 1992, 3:121-137.
    • (1992) Network , vol.3 , pp. 121-137
    • Amit, D.J.1    Tsodyks, M.V.2
  • 6
    • 0029583601 scopus 로고
    • A minimal, compartmental model for a dendritic origin of bistability of motoneuron firing patterns
    • Booth V., Rinzel J. A minimal, compartmental model for a dendritic origin of bistability of motoneuron firing patterns. J Comput Neurosci 1995, 2:299-312.
    • (1995) J Comput Neurosci , vol.2 , pp. 299-312
    • Booth, V.1    Rinzel, J.2
  • 7
    • 59649123647 scopus 로고    scopus 로고
    • Dynamical response properties of neocortical neuron ensembles: multiplicative versus additive noise
    • Boucsein C., Tetzlaff T., Meier R., Aertsen A., Naundorf B. Dynamical response properties of neocortical neuron ensembles: multiplicative versus additive noise. J. Neurosci. 2009, 29:1006-1010.
    • (2009) J. Neurosci. , vol.29 , pp. 1006-1010
    • Boucsein, C.1    Tetzlaff, T.2    Meier, R.3    Aertsen, A.4    Naundorf, B.5
  • 8
    • 77957330750 scopus 로고    scopus 로고
    • Dendritic discrimination of temporal input sequences in cortical neurons
    • Branco T., Clark B.A., Hausser M. Dendritic discrimination of temporal input sequences in cortical neurons. Science 2010, 329:1671-1675.
    • (2010) Science , vol.329 , pp. 1671-1675
    • Branco, T.1    Clark, B.A.2    Hausser, M.3
  • 9
    • 77956651628 scopus 로고    scopus 로고
    • The single dendritic branch as a fundamental functional unit in the nervous system
    • Branco T., Hausser M. The single dendritic branch as a fundamental functional unit in the nervous system. Curr. Opin. Neurobiol. 2010, 20:494-502.
    • (2010) Curr. Opin. Neurobiol. , vol.20 , pp. 494-502
    • Branco, T.1    Hausser, M.2
  • 10
    • 35348824287 scopus 로고    scopus 로고
    • Binomial parameters differ across neocortical layers and with different classes of connections in adult rat and cat neocortex
    • Bremaud A., West D.C., Thomson A.M. Binomial parameters differ across neocortical layers and with different classes of connections in adult rat and cat neocortex. Proc. Natl. Acad. Sci. USA 2007, 104:14134-14139.
    • (2007) Proc. Natl. Acad. Sci. USA , vol.104 , pp. 14134-14139
    • Bremaud, A.1    West, D.C.2    Thomson, A.M.3
  • 11
    • 0033714122 scopus 로고    scopus 로고
    • Adaptive rescaling maximizes information transmission
    • Brenner N., Bialek W., de Ruyter van R., Steveninck Adaptive rescaling maximizes information transmission. Neuron 2000, 26:695-702.
    • (2000) Neuron , vol.26 , pp. 695-702
    • Brenner, N.1    Bialek, W.2    de Ruyter van, R.3    Steveninck4
  • 12
    • 41549102418 scopus 로고    scopus 로고
    • Sparsely synchronized neuronal oscillations
    • Brunel N., Hakim V. Sparsely synchronized neuronal oscillations. Chaos 2008, 18:015113.
    • (2008) Chaos , vol.18 , pp. 015113
    • Brunel, N.1    Hakim, V.2
  • 13
    • 4444234075 scopus 로고    scopus 로고
    • Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell
    • Brunel N., Hakim V., Isope P., Nadal J.P., Barbour B. Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell. Neuron 2004, 43:745-757.
    • (2004) Neuron , vol.43 , pp. 745-757
    • Brunel, N.1    Hakim, V.2    Isope, P.3    Nadal, J.P.4    Barbour, B.5
  • 14
    • 0033083763 scopus 로고    scopus 로고
    • Linear summation of excitatory inputs by CA1 pyramidal neurons
    • Cash S., Yuste R. Linear summation of excitatory inputs by CA1 pyramidal neurons. Neuron 1999, 22:383-394.
    • (1999) Neuron , vol.22 , pp. 383-394
    • Cash, S.1    Yuste, R.2
  • 15
    • 84874763796 scopus 로고    scopus 로고
    • Passive dendrites enable single neurons to compute linearly non-separable functions
    • Caze R.D., Humphries M., Gutkin B. Passive dendrites enable single neurons to compute linearly non-separable functions. PLoS Comput. Biol. 2013, 9:e1002867.
    • (2013) PLoS Comput. Biol. , vol.9
    • Caze, R.D.1    Humphries, M.2    Gutkin, B.3
  • 16
    • 0037104631 scopus 로고    scopus 로고
    • Gain modulation from background synaptic input
    • Chance F.S., Abbott L.F., Reyes A.D. Gain modulation from background synaptic input. Neuron 2002, 35:773-782.
    • (2002) Neuron , vol.35 , pp. 773-782
    • Chance, F.S.1    Abbott, L.F.2    Reyes, A.D.3
  • 17
    • 24944496222 scopus 로고    scopus 로고
    • Short-term synaptic depression causes a non-monotonic response to correlated stimuli
    • de la Rocha J., Parga N. Short-term synaptic depression causes a non-monotonic response to correlated stimuli. J. Neurosci. 2005, 25:8416-8431.
    • (2005) J. Neurosci. , vol.25 , pp. 8416-8431
    • de la Rocha, J.1    Parga, N.2
  • 18
    • 80051673168 scopus 로고    scopus 로고
    • Spike-timing dependent plasticity beyond synapse - pre- and post-synaptic plasticity of intrinsic neuronal excitability
    • Debanne D., Poo M.M. Spike-timing dependent plasticity beyond synapse - pre- and post-synaptic plasticity of intrinsic neuronal excitability. Front Synaptic Neurosci 2010, 2:21.
    • (2010) Front Synaptic Neurosci , vol.2 , pp. 21
    • Debanne, D.1    Poo, M.M.2
  • 19
    • 77049173124 scopus 로고
    • Quantal components of the end-plate potential
    • del Castillo J., Katz B. Quantal components of the end-plate potential. J. Physiol. 1954, 124:560-573.
    • (1954) J. Physiol. , vol.124 , pp. 560-573
    • del Castillo, J.1    Katz, B.2
  • 21
    • 79959915643 scopus 로고    scopus 로고
    • Collision detection as a model for sensory-motor integration
    • Fotowat H., Gabbiani F. Collision detection as a model for sensory-motor integration. Annu. Rev. Neurosci. 2011, 34:1-19.
    • (2011) Annu. Rev. Neurosci. , vol.34 , pp. 1-19
    • Fotowat, H.1    Gabbiani, F.2
  • 22
    • 0036716145 scopus 로고    scopus 로고
    • Dynamics of firing probability of noisy integrate-and-fire neurons
    • Fourcaud N., Brunel N. Dynamics of firing probability of noisy integrate-and-fire neurons. Neural Computation 2002, 14:2057-2110.
    • (2002) Neural Computation , vol.14 , pp. 2057-2110
    • Fourcaud, N.1    Brunel, N.2
  • 23
    • 0347694858 scopus 로고    scopus 로고
    • How spike generation mechanisms determine the neuronal response to fluctuating inputs
    • Fourcaud-Trocmé N., Hansel D., van Vreeswijk C., Brunel N. How spike generation mechanisms determine the neuronal response to fluctuating inputs. J. Neurosci. 2003, 23:11628-11640.
    • (2003) J. Neurosci. , vol.23 , pp. 11628-11640
    • Fourcaud-Trocmé, N.1    Hansel, D.2    van Vreeswijk, C.3    Brunel, N.4
  • 24
    • 33344467487 scopus 로고    scopus 로고
    • Mechanism of graded persistent cellular activity of entorhinal cortex layer V neurons
    • Fransén E., Tahvildari B., Egorov A.V., Hasselmo M.E., Alonso A.A. Mechanism of graded persistent cellular activity of entorhinal cortex layer V neurons. Neuron 2006, 49:735-746.
    • (2006) Neuron , vol.49 , pp. 735-746
    • Fransén, E.1    Tahvildari, B.2    Egorov, A.V.3    Hasselmo, M.E.4    Alonso, A.A.5
  • 25
    • 3042595548 scopus 로고    scopus 로고
    • Multiple mechanisms govern the dynamics of depression at neocortical synapses of young rats
    • Fuhrmann G., Cowan A., Segev I., Tsodyks M., Striker C. Multiple mechanisms govern the dynamics of depression at neocortical synapses of young rats. J. Physiol. 2004, 557:415-438.
    • (2004) J. Physiol. , vol.557 , pp. 415-438
    • Fuhrmann, G.1    Cowan, A.2    Segev, I.3    Tsodyks, M.4    Striker, C.5
  • 26
    • 70350130109 scopus 로고    scopus 로고
    • Neuroscience How good are neuron models?
    • Gerstner W., Naud R. Neuroscience How good are neuron models?. Science 2009, 326:379-380.
    • (2009) Science , vol.326 , pp. 379-380
    • Gerstner, W.1    Naud, R.2
  • 27
    • 0142250862 scopus 로고    scopus 로고
    • Robust persistent neural activity in a model integrator with multiple hysteretic dendrites per neuron
    • Goldman M.S., Levine J.H., Major G., Tank D.W., Seung H.S. Robust persistent neural activity in a model integrator with multiple hysteretic dendrites per neuron. Cereb. Cortex 2003, 13:1185-1195.
    • (2003) Cereb. Cortex , vol.13 , pp. 1185-1195
    • Goldman, M.S.1    Levine, J.H.2    Major, G.3    Tank, D.W.4    Seung, H.S.5
  • 28
    • 84873411940 scopus 로고    scopus 로고
    • Structure-preserving model reduction of passive and quasi-active neurons
    • Hedrick K.R., Cox S.J. Structure-preserving model reduction of passive and quasi-active neurons. J Comput Neurosci 2013, 34:1-26.
    • (2013) J Comput Neurosci , vol.34 , pp. 1-26
    • Hedrick, K.R.1    Cox, S.J.2
  • 29
    • 84887929075 scopus 로고    scopus 로고
    • M.H.Hennig Theoretical models of synaptic short term plasticity. Front Comput Neurosci 7 (2013) article 45.
    • M. H. Hennig Theoretical models of synaptic short term plasticity. Front Comput Neurosci 7 (2013) article 45.
  • 30
    • 33748363922 scopus 로고    scopus 로고
    • Diversity of gain modulation by noise in neocortical neurons: regulation by the slow afterhyperpolarization conductance
    • Higgs M.H., Slee S.J., Spain W.J. Diversity of gain modulation by noise in neocortical neurons: regulation by the slow afterhyperpolarization conductance. J. Neurosci. 2006, 26:8787-8799.
    • (2006) J. Neurosci. , vol.26 , pp. 8787-8799
    • Higgs, M.H.1    Slee, S.J.2    Spain, W.J.3
  • 31
    • 36849093520 scopus 로고    scopus 로고
    • Single neuron computation: from dynamical system to feature detector
    • Hong S., Aguera y Arcas B., Fairhall A.L. Single neuron computation: from dynamical system to feature detector. Neural Comput 2007, 19:3133-3172.
    • (2007) Neural Comput , vol.19 , pp. 3133-3172
    • Hong, S.1    Aguera y Arcas, B.2    Fairhall, A.L.3
  • 33
    • 4344661328 scopus 로고    scopus 로고
    • Which model to use for cortical spiking neurons
    • Izhikevich E.M. Which model to use for cortical spiking neurons. IEEE Transactions on Neural Networks 2004, 15:1063-1070.
    • (2004) IEEE Transactions on Neural Networks , vol.15 , pp. 1063-1070
    • Izhikevich, E.M.1
  • 35
    • 84893360078 scopus 로고    scopus 로고
    • Giugliano The dynamical response of single cells to noisy time-varying currents. In Society for Neuroscience Abstracts, page
    • H. Koendgen, C. Geisler, X. J. Wang, S. Fusi, H. R. Luescher, and M. Giugliano The dynamical response of single cells to noisy time-varying currents. In Society for Neuroscience Abstracts, page 640.9, 2004.
    • (2004) , pp. 640-9
    • Koendgen, H.1    Geisler, C.2    Wang, X.J.3    Fusi, S.4    Luescher, H.R.5
  • 36
    • 84875252689 scopus 로고    scopus 로고
    • A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex
    • Larkum M. A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex. Trends Neurosci. 2013, 36:141-151.
    • (2013) Trends Neurosci. , vol.36 , pp. 141-151
    • Larkum, M.1
  • 38
    • 0032129687 scopus 로고    scopus 로고
    • A role for NMDA-receptor channels in working memory
    • Lisman J.E., Fellous J.-M., Wang X.-J. A role for NMDA-receptor channels in working memory. Nat. Neurosci. 1998, 1:273-275.
    • (1998) Nat. Neurosci. , vol.1 , pp. 273-275
    • Lisman, J.E.1    Fellous, J.-M.2    Wang, X.-J.3
  • 40
    • 69549116622 scopus 로고    scopus 로고
    • Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons
    • Lundstrom B.N., Famulare M., Sorensen L.B., Spain W.J., Fairhall A.L. Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons. J Comput Neurosci 2009, 27:277-290.
    • (2009) J Comput Neurosci , vol.27 , pp. 277-290
    • Lundstrom, B.N.1    Famulare, M.2    Sorensen, L.B.3    Spain, W.J.4    Fairhall, A.L.5
  • 42
    • 84875254396 scopus 로고    scopus 로고
    • Active properties of neocortical pyramidal neuron dendrites
    • Major G., Larkum M.E., Schiller J. Active properties of neocortical pyramidal neuron dendrites. Annu. Rev. Neurosci. 2013, 36:1-24.
    • (2013) Annu. Rev. Neurosci. , vol.36 , pp. 1-24
    • Major, G.1    Larkum, M.E.2    Schiller, J.3
  • 43
    • 0032574789 scopus 로고    scopus 로고
    • Differential signaling via the same axon of neocortical pyramidal neurons
    • Markram H., Wang Y., Tsodyks M. Differential signaling via the same axon of neocortical pyramidal neurons. Proc. Natl. Acad. Sci. U.S.A. 1998, 95:5323-5328.
    • (1998) Proc. Natl. Acad. Sci. U.S.A. , vol.95 , pp. 5323-5328
    • Markram, H.1    Wang, Y.2    Tsodyks, M.3
  • 44
    • 84868661907 scopus 로고    scopus 로고
    • A preferentially segregated recycling vesicle pool of limited size supports neurotransmission in native central synapses
    • Marra V., Burden J.J., Thorpe J.R., Smith I.T., Smith S.L., Hausser M., Branco T., Staras K. A preferentially segregated recycling vesicle pool of limited size supports neurotransmission in native central synapses. Neuron 2012, 76:579-589.
    • (2012) Neuron , vol.76 , pp. 579-589
    • Marra, V.1    Burden, J.J.2    Thorpe, J.R.3    Smith, I.T.4    Smith, S.L.5    Hausser, M.6    Branco, T.7    Staras, K.8
  • 45
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in nervous activity
    • McCulloch W.S., Pitts W.A. A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys. 1943, 5:115-133.
    • (1943) Bull. Math. Biophys. , vol.5 , pp. 115-133
    • McCulloch, W.S.1    Pitts, W.A.2
  • 46
    • 84880646464 scopus 로고    scopus 로고
    • Emergence of adaptive computation by single neurons in the developing cortex
    • Mease R.A., Famulare M., Gjorgjieva J., Moody W.J., Fairhall A.L. Emergence of adaptive computation by single neurons in the developing cortex. J. Neurosci. 2013, 33:12154-12170.
    • (2013) J. Neurosci. , vol.33 , pp. 12154-12170
    • Mease, R.A.1    Famulare, M.2    Gjorgjieva, J.3    Moody, W.J.4    Fairhall, A.L.5
  • 48
    • 77954655447 scopus 로고    scopus 로고
    • Quantitative prediction of intermittent high-frequency oscillations in neural networks with supralinear dendritic interactions
    • Memmesheimer R.M. Quantitative prediction of intermittent high-frequency oscillations in neural networks with supralinear dendritic interactions. Proc. Natl. Acad. Sci. U.S.A. 2010, 107:11092-11097.
    • (2010) Proc. Natl. Acad. Sci. U.S.A. , vol.107 , pp. 11092-11097
    • Memmesheimer, R.M.1
  • 49
    • 84861143516 scopus 로고    scopus 로고
    • Non-additive coupling enables propagation of synchronous spiking activity in purely random networks
    • Memmesheimer R.M., Timme M. Non-additive coupling enables propagation of synchronous spiking activity in purely random networks. PLoS Comput. Biol. 2012, 8:e1002384.
    • (2012) PLoS Comput. Biol. , vol.8
    • Memmesheimer, R.M.1    Timme, M.2
  • 50
    • 40849102598 scopus 로고    scopus 로고
    • Synaptic theory of working memory
    • Mongillo G., Barak O., Tsodyks M. Synaptic theory of working memory. Science 2008, 319:1543.
    • (2008) Science , vol.319 , pp. 1543
    • Mongillo, G.1    Barak, O.2    Tsodyks, M.3
  • 51
    • 56449095252 scopus 로고    scopus 로고
    • Firing patterns in the adaptive exponential integrate-and-fire model
    • Naud R., Marcille N., Clopath C., Gerstner W. Firing patterns in the adaptive exponential integrate-and-fire model. Biol Cybern 2008, 99:335-347.
    • (2008) Biol Cybern , vol.99 , pp. 335-347
    • Naud, R.1    Marcille, N.2    Clopath, C.3    Gerstner, W.4
  • 52
    • 33646187200 scopus 로고    scopus 로고
    • Unique features of action potential initiation in cortical neurons
    • Naundorf Bjorn, Wolf Fred, Volgushev Maxim Unique features of action potential initiation in cortical neurons. Nature 2006, 440:1060-1063.
    • (2006) Nature , vol.440 , pp. 1060-1063
    • Naundorf, B.1    Wolf, F.2    Volgushev, M.3
  • 53
    • 79951960733 scopus 로고    scopus 로고
    • E. Neher What is rate-limiting during sustained synaptic activity: vesicle supply or the availability of release sites. Front. Syn. Neurosci. 2 (2010) article
    • E. Neher What is rate-limiting during sustained synaptic activity: vesicle supply or the availability of release sites. Front. Syn. Neurosci. 2 (2010) article 144.
  • 54
    • 79551566720 scopus 로고    scopus 로고
    • From spiking neuron models to linear-nonlinear models
    • Ostojic S., Brunel N. From spiking neuron models to linear-nonlinear models. PLOS Comp Biol 2011, 7:e1001056.
    • (2011) PLOS Comp Biol , vol.7
    • Ostojic, S.1    Brunel, N.2
  • 55
    • 0037468832 scopus 로고    scopus 로고
    • Pyramidal neuron as two-layer neural network
    • Poirazi P., Brannon T., Mel B.W. Pyramidal neuron as two-layer neural network. Neuron 2003, 37:989-999.
    • (2003) Neuron , vol.37 , pp. 989-999
    • Poirazi, P.1    Brannon, T.2    Mel, B.W.3
  • 56
    • 0141565240 scopus 로고    scopus 로고
    • Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents
    • Rauch A., La Camera G., Lüscher H.-R., Senn W., Fusi S. Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents. J. Neurophysiol. 2003, 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
  • 57
    • 0037879511 scopus 로고    scopus 로고
    • From subthreshold to firing-rate resonance
    • Richardson M., Brunel N., Hakim V. From subthreshold to firing-rate resonance. J. Neurophysiol. 2003, 89:2538-2554.
    • (2003) J. Neurophysiol. , vol.89 , pp. 2538-2554
    • Richardson, M.1    Brunel, N.2    Hakim, V.3
  • 58
    • 70349108710 scopus 로고    scopus 로고
    • Dynamics of populations and networks of neurons with voltage-activated and calcium-activated currents
    • Richardson M.J. Dynamics of populations and networks of neurons with voltage-activated and calcium-activated currents. Phys Rev E Stat Nonlin Soft Matter Phys 2009, 80:021928.
    • (2009) Phys Rev E Stat Nonlin Soft Matter Phys , vol.80 , pp. 021928
    • Richardson, M.J.1
  • 59
    • 77958128002 scopus 로고    scopus 로고
    • Firing-rate response of a neuron receiving excitatory and inhibitory synaptic shot noise
    • Richardson M.J., Swarbrick R. Firing-rate response of a neuron receiving excitatory and inhibitory synaptic shot noise. Phys. Rev. Lett. 2010, 105:178102.
    • (2010) Phys. Rev. Lett. , vol.105 , pp. 178102
    • Richardson, M.J.1    Swarbrick, R.2
  • 60
    • 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
    • Magnus J.E., Richardson Firing-rate response of linear and nonlinear integrate-and-fire neurons to modulated current-based and conductance-based synaptic drive. Phys Rev E Stat Nonlin Soft Matter Phys 2007, 76:021919.
    • (2007) Phys Rev E Stat Nonlin Soft Matter Phys , vol.76 , pp. 021919
    • Magnus, J.E.1
  • 61
    • 18144417464 scopus 로고    scopus 로고
    • Short-term synaptic plasticity orchestrates the response of pyramidal cells and interneurons to population bursts
    • Richardson M.J.E., Melamed O., Silberberg G., Gerstner W., Markram H. Short-term synaptic plasticity orchestrates the response of pyramidal cells and interneurons to population bursts. J. Comp. Neurosci. 2005, 18:323-331.
    • (2005) J. Comp. Neurosci. , vol.18 , pp. 323-331
    • Richardson, M.J.E.1    Melamed, O.2    Silberberg, G.3    Gerstner, W.4    Markram, H.5
  • 62
    • 84872379269 scopus 로고    scopus 로고
    • Short-term synaptic depression and stochastic vesicle dynamics reduce and shape neuronal correlations
    • Rosenbaum R., Rubin J., Doiron B. Short-term synaptic depression and stochastic vesicle dynamics reduce and shape neuronal correlations. J. Neurophysiol. 2013, 109:475-484.
    • (2013) J. Neurophysiol. , vol.109 , pp. 475-484
    • Rosenbaum, R.1    Rubin, J.2    Doiron, B.3
  • 64
    • 84872075748 scopus 로고    scopus 로고
    • NMDA and GABAB (KIR) conductances: the "perfect couple" for bistability
    • Sanders H., Berends M., Major G., Goldman M.S., Lisman J.E. NMDA and GABAB (KIR) conductances: the "perfect couple" for bistability. J. Neurosci. 2013, 33:424-429.
    • (2013) J. Neurosci. , vol.33 , pp. 424-429
    • Sanders, H.1    Berends, M.2    Major, G.3    Goldman, M.S.4    Lisman, J.E.5
  • 66
    • 1942517949 scopus 로고    scopus 로고
    • Synaptic dynamics control the timing of neuronal excitation in the activated neocortical microcircuit
    • Silberberg G., Wu C.Z., Markram H. Synaptic dynamics control the timing of neuronal excitation in the activated neocortical microcircuit. J. Physiol. 2004, 556:19-27.
    • (2004) J. Physiol. , vol.556 , pp. 19-27
    • Silberberg, G.1    Wu, C.Z.2    Markram, H.3
  • 67
    • 77953806440 scopus 로고    scopus 로고
    • Neuronal arithmetic
    • Silver R.A. Neuronal arithmetic. Nat. Rev. Neurosci. 2010, 11:474-489.
    • (2010) Nat. Rev. Neurosci. , vol.11 , pp. 474-489
    • Silver, R.A.1
  • 68
    • 84887401253 scopus 로고    scopus 로고
    • Dendritic spikes enhance stimulus selectivity in cortical neurons in vivo
    • Smith S.L., Smith I.T., Branco T., Hausser M. Dendritic spikes enhance stimulus selectivity in cortical neurons in vivo. Nature 2013, 503:115-120.
    • (2013) Nature , vol.503 , pp. 115-120
    • Smith, S.L.1    Smith, I.T.2    Branco, T.3    Hausser, M.4
  • 69
    • 0033363928 scopus 로고    scopus 로고
    • How voltage-dependent conductances can adapt to maximize the information encoded by neuronal firing rate
    • Stemmler M., Koch C. How voltage-dependent conductances can adapt to maximize the information encoded by neuronal firing rate. Nat. Neurosci. 1999, 2:521-527.
    • (1999) Nat. Neurosci. , vol.2 , pp. 521-527
    • Stemmler, M.1    Koch, C.2
  • 71
    • 56449131028 scopus 로고    scopus 로고
    • Dynamics and bifurcations of the adaptive exponential integrate-and-fire model
    • Touboul J., Brette R. Dynamics and bifurcations of the adaptive exponential integrate-and-fire model. Biol Cybern 2008, 99:319-334.
    • (2008) Biol Cybern , vol.99 , pp. 319-334
    • Touboul, J.1    Brette, R.2
  • 72
    • 0031018015 scopus 로고    scopus 로고
    • The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability
    • Tsodyks M.V., Markram H. The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proc. Natl. Acad. Sci. USA 1997, 94:719-723.
    • (1997) Proc. Natl. Acad. Sci. USA , vol.94 , pp. 719-723
    • Tsodyks, M.V.1    Markram, H.2
  • 73
    • 44449123004 scopus 로고    scopus 로고
    • Hyperpolarization-activated graded persistent activity in the prefrontal cortex
    • Winograd M., Destexhe A., Sanchez-Vives M.V. Hyperpolarization-activated graded persistent activity in the prefrontal cortex. Proc. Natl. Acad. Sci. U.S.A. 2008, 105:7298-7303.
    • (2008) Proc. Natl. Acad. Sci. U.S.A. , vol.105 , pp. 7298-7303
    • Winograd, M.1    Destexhe, A.2    Sanchez-Vives, M.V.3
  • 74


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.