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Volumn , Issue , 2010, Pages 129-174

Graphical Models of Functional and Effective Neuronal Connectivity

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EID: 78650843389     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-375027-3.00005-3     Document Type: Chapter
Times cited : (10)

References (151)
  • 1
    • 0023784456 scopus 로고
    • Detecting spatiotemporal firing patterns among simultaneously recorded single neurons
    • Abeles M., Gerstein G.L. Detecting spatiotemporal firing patterns among simultaneously recorded single neurons. J. Neurophysiol. 1988, 60:909-924.
    • (1988) J. Neurophysiol. , vol.60 , pp. 909-924
    • Abeles, M.1    Gerstein, G.L.2
  • 2
    • 0024599599 scopus 로고
    • Dynamics of neuronal firing correlation: modulation of "effective connectivity."
    • Aertsen A.M., Gerstein G.L., Habib M.K., Palm G. Dynamics of neuronal firing correlation: modulation of "effective connectivity.". J. Neurophysiol. 1989, 61:900-917.
    • (1989) J. Neurophysiol. , vol.61 , pp. 900-917
    • Aertsen, A.M.1    Gerstein, G.L.2    Habib, M.K.3    Palm, G.4
  • 5
    • 0032554831 scopus 로고    scopus 로고
    • The role of dendrites in auditory coincidence detection
    • Agmon-Snir H., Carr C.E., Rinzel J. The role of dendrites in auditory coincidence detection. Nature 1998, 393:268-272.
    • (1998) Nature , vol.393 , pp. 268-272
    • Agmon-Snir, H.1    Carr, C.E.2    Rinzel, J.3
  • 6
    • 33745726849 scopus 로고    scopus 로고
    • Neural correlations, population coding and computation
    • Averbeck B.B., Latham P.E., Pouget A. Neural correlations, population coding and computation. Nat. Rev. Neurosci. 2006, 7:358-366.
    • (2006) Nat. Rev. Neurosci. , vol.7 , pp. 358-366
    • Averbeck, B.B.1    Latham, P.E.2    Pouget, A.3
  • 7
    • 33846642649 scopus 로고    scopus 로고
    • Learning-induced enduring changes in functional connectivity among prefrontal cortical neurons
    • Baeg E.H., Kim Y.B., Kim J., Ghim J.W., Kim J.J., Jung M.W. Learning-induced enduring changes in functional connectivity among prefrontal cortical neurons. J. Neurosci. 2007, 27:909.
    • (2007) J. Neurosci. , vol.27 , pp. 909
    • Baeg, E.H.1    Kim, Y.B.2    Kim, J.3    Ghim, J.W.4    Kim, J.J.5    Jung, M.W.6
  • 8
    • 0035970024 scopus 로고    scopus 로고
    • Construction and analysis of non-Poisson stimulus-response models of neural spiking activity
    • Barbieri R., Quirk M.C., Frank L.M., Wilson M.A., Brown E.N. Construction and analysis of non-Poisson stimulus-response models of neural spiking activity. J. Neurosci. Methods 2001, 105:25-37.
    • (2001) J. Neurosci. Methods , vol.105 , pp. 25-37
    • Barbieri, R.1    Quirk, M.C.2    Frank, L.M.3    Wilson, M.A.4    Brown, E.N.5
  • 9
    • 22544487546 scopus 로고    scopus 로고
    • An analysis of hippocampal spatio-temporal representations using a Bayesian algorithm for neural spike train decoding
    • Barbieri R., Wilson M.A., Frank L.M., Brown E.N. An analysis of hippocampal spatio-temporal representations using a Bayesian algorithm for neural spike train decoding. IEEE Trans. Neural Syst. Rehabil. Eng. 2005, 13:131-136.
    • (2005) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.13 , pp. 131-136
    • Barbieri, R.1    Wilson, M.A.2    Frank, L.M.3    Brown, E.N.4
  • 10
    • 0035972786 scopus 로고    scopus 로고
    • Failure in identification of overlapping spikes from multiple neuron activity causes artificial correlations
    • Bar-Gad I., Ritov Y., Vaadia E., Bergman H. Failure in identification of overlapping spikes from multiple neuron activity causes artificial correlations. J. Neurosci. Methods 2001, 107:1-13.
    • (2001) J. Neurosci. Methods , vol.107 , pp. 1-13
    • Bar-Gad, I.1    Ritov, Y.2    Vaadia, E.3    Bergman, H.4
  • 11
    • 15944361900 scopus 로고    scopus 로고
    • Informative structure priors: joint learning of dynamic regulatory networks from multiple types of data
    • Bernard A., Hartemink A.J. Informative structure priors: joint learning of dynamic regulatory networks from multiple types of data. Pac. Symp. Biocomput. 2005, 10:459-470.
    • (2005) Pac. Symp. Biocomput. , vol.10 , pp. 459-470
    • Bernard, A.1    Hartemink, A.J.2
  • 14
    • 0032535029 scopus 로고    scopus 로고
    • Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type
    • Bi GQ., Poo M.M. Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. J. Neurosci. 1998, 18:10464-10472.
    • (1998) J. Neurosci. , vol.18 , pp. 10464-10472
    • Bi, G.Q.1    Poo, M.M.2
  • 16
    • 0029008978 scopus 로고
    • Large-scale cortical networks and cognition
    • Bressler S.L. Large-scale cortical networks and cognition. Brain Res. 1995, 20:288-304.
    • (1995) Brain Res. , vol.20 , pp. 288-304
    • Bressler, S.L.1
  • 17
    • 2142765521 scopus 로고    scopus 로고
    • Multiple neural spike train data analysis: state-of-the-art and future challenges
    • Brown E.N., Kass R.E., Mitra P.P. Multiple neural spike train data analysis: state-of-the-art and future challenges. Nat. Neurosci. 2004, 7:456-461.
    • (2004) Nat. Neurosci. , vol.7 , pp. 456-461
    • Brown, E.N.1    Kass, R.E.2    Mitra, P.P.3
  • 18
    • 61349185681 scopus 로고    scopus 로고
    • Intracortical circuits of pyramidal neurons reflect their long-range axonal targets
    • Brown S.P., Hestrin S. Intracortical circuits of pyramidal neurons reflect their long-range axonal targets. Nature 2009, 457:1133-1136.
    • (2009) Nature , vol.457 , pp. 1133-1136
    • Brown, S.P.1    Hestrin, S.2
  • 19
    • 11144355852 scopus 로고    scopus 로고
    • Large-scale recording of neuronal ensembles
    • Buzsaki G. Large-scale recording of neuronal ensembles. Nat. Neurosci. 2004, 7:446-451.
    • (2004) Nat. Neurosci. , vol.7 , pp. 446-451
    • Buzsaki, G.1
  • 20
    • 33646678649 scopus 로고    scopus 로고
    • Functional and effective connectivity in an fMRI study of an auditory-related task
    • Caclin A., Fonlupt P. Functional and effective connectivity in an fMRI study of an auditory-related task. Eur. J. Neurosci. 2006, 23:2531-2537.
    • (2006) Eur. J. Neurosci. , vol.23 , pp. 2531-2537
    • Caclin, A.1    Fonlupt, P.2
  • 21
    • 54349100736 scopus 로고    scopus 로고
    • Causal measures of structure and plasticity in simulated and living neural networks
    • Cadotte A.J., DeMarse T.B., He P., Ding M. Causal measures of structure and plasticity in simulated and living neural networks. PLoS ONE 2008, 3:e3355.
    • (2008) PLoS ONE , vol.3
    • Cadotte, A.J.1    DeMarse, T.B.2    He, P.3    Ding, M.4
  • 22
    • 0031953879 scopus 로고    scopus 로고
    • Local circuits in primary visual cortex of the macaque monkey
    • Callaway E.M. Local circuits in primary visual cortex of the macaque monkey. Annu. Rev. Neurosci. 1998, 21:47-74.
    • (1998) Annu. Rev. Neurosci. , vol.21 , pp. 47-74
    • Callaway, E.M.1
  • 23
    • 48249085332 scopus 로고    scopus 로고
    • Spike timing dependent plasticity: a hebbian learning rule
    • Caporale N., Dan Y. Spike timing dependent plasticity: a hebbian learning rule. Annu. Rev. Neurosci. 2008, 31:25-46.
    • (2008) Annu. Rev. Neurosci. , vol.31 , pp. 25-46
    • Caporale, N.1    Dan, Y.2
  • 25
    • 26044465231 scopus 로고    scopus 로고
    • The rises and falls of disconnection syndromes
    • Catani M., fftyche D.H. The rises and falls of disconnection syndromes. Brain 2005, 128:2224-2239.
    • (2005) Brain , vol.128 , pp. 2224-2239
    • Catani, M.1    fftyche, D.H.2
  • 26
    • 42249097282 scopus 로고    scopus 로고
    • Population coding by electrosensory neurons
    • Chacron M.J., Bastian J. Population coding by electrosensory neurons. J. Neurophysiol. 2008, 99:1825-1835.
    • (2008) J. Neurophysiol. , vol.99 , pp. 1825-1835
    • Chacron, M.J.1    Bastian, J.2
  • 27
    • 0033360081 scopus 로고    scopus 로고
    • Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex
    • Chapin J.K., Moxon K.A., Markowitz R.S., Nicolelis M.A. Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex. Nat. Neurosci. 1999, 2:664-670.
    • (1999) Nat. Neurosci. , vol.2 , pp. 664-670
    • Chapin, J.K.1    Moxon, K.A.2    Markowitz, R.S.3    Nicolelis, M.A.4
  • 28
    • 0003882879 scopus 로고
    • American Mathematical Society, Providence, RI
    • Chung F.R.K. Spectral Graph Theory 1994, vol. 92. American Mathematical Society, Providence, RI.
    • (1994) Spectral Graph Theory , vol.92
    • Chung, F.R.K.1
  • 29
    • 34447517647 scopus 로고    scopus 로고
    • Temporal complexity and heterogeneity of single-neuron activity in premotor and motor cortex
    • Churchland M.M., Shenoy K.V. Temporal complexity and heterogeneity of single-neuron activity in premotor and motor cortex. J. Neurophysiol. 2007, 97:4235.
    • (2007) J. Neurophysiol. , vol.97 , pp. 4235
    • Churchland, M.M.1    Shenoy, K.V.2
  • 30
    • 70549106847 scopus 로고    scopus 로고
    • Attention improves performance primarily by reducing interneuronal correlations
    • Cohen M.R., Maunsell J.H. Attention improves performance primarily by reducing interneuronal correlations. Nat. Neurosci. 2009, 12:1594-1600.
    • (2009) Nat. Neurosci. , vol.12 , pp. 1594-1600
    • Cohen, M.R.1    Maunsell, J.H.2
  • 31
    • 66249120348 scopus 로고    scopus 로고
    • Estimates of the contribution of single neurons to perception depend on timescale and noise correlation
    • Cohen M.R., Newsome W.T. Estimates of the contribution of single neurons to perception depend on timescale and noise correlation. J. Neurosci. 2009, 29:6635-6648.
    • (2009) J. Neurosci. , vol.29 , pp. 6635-6648
    • Cohen, M.R.1    Newsome, W.T.2
  • 32
    • 0036631457 scopus 로고    scopus 로고
    • A common reference frame for movement plans in the posterior parietal cortex
    • Cohen Y.E., Andersen R.A. A common reference frame for movement plans in the posterior parietal cortex. Nat. Rev. Neurosci. 2002, 3:553-562.
    • (2002) Nat. Rev. Neurosci. , vol.3 , pp. 553-562
    • Cohen, Y.E.1    Andersen, R.A.2
  • 34
    • 0041315427 scopus 로고    scopus 로고
    • Massively parallel recording of unit and local field potentials with silicon-based electrodes
    • Csicsvari J., Henze D.A., Jamieson B., Harris K.D., Sirota A., Barthó P., et al. Massively parallel recording of unit and local field potentials with silicon-based electrodes. J. Neurophysiol. 2003, 90:1314-1323.
    • (2003) J. Neurophysiol. , vol.90 , pp. 1314-1323
    • Csicsvari, J.1    Henze, D.A.2    Jamieson, B.3    Harris, K.D.4    Sirota, A.5    Barthó, P.6
  • 35
    • 0030659827 scopus 로고    scopus 로고
    • Identification of synaptic connections in neural ensembles by graphical models
    • Dahlhaus R., Eichler M., Sandkühler J. Identification of synaptic connections in neural ensembles by graphical models. J. Neurosci. Methods 1997, 77:93-107.
    • (1997) J. Neurosci. Methods , vol.77 , pp. 93-107
    • Dahlhaus, R.1    Eichler, M.2    Sandkühler, J.3
  • 36
    • 5344240347 scopus 로고    scopus 로고
    • Spike timing-dependent plasticity of neural circuits
    • Dan Y., Poo M.M. Spike timing-dependent plasticity of neural circuits. Neuron 2004, 44:23-30.
    • (2004) Neuron , vol.44 , pp. 23-30
    • Dan, Y.1    Poo, M.M.2
  • 38
    • 34547928124 scopus 로고    scopus 로고
    • Correlation between neural spike trains increases with firing rate
    • de la Rocha J., Doiron B., Shea-Brown E., Josić K., Reyes A. Correlation between neural spike trains increases with firing rate. Nature 2007, 448:802-806.
    • (2007) Nature , vol.448 , pp. 802-806
    • de la Rocha, J.1    Doiron, B.2    Shea-Brown, E.3    Josić, K.4    Reyes, A.5
  • 39
    • 15844431539 scopus 로고    scopus 로고
    • Primary cortical representation of sounds by the coordination of action-potential timing
    • deCharms R.C., Merzenich M.M. Primary cortical representation of sounds by the coordination of action-potential timing. Nature 1996, 381:610-613.
    • (1996) Nature , vol.381 , pp. 610-613
    • deCharms, R.C.1    Merzenich, M.M.2
  • 40
    • 7244251462 scopus 로고    scopus 로고
    • Plasticity in single neuron and circuit computations
    • Destexhe A., Marder E. Plasticity in single neuron and circuit computations. Nature 2004, 431:789-795.
    • (2004) Nature , vol.431 , pp. 789-795
    • Destexhe, A.1    Marder, E.2
  • 43
    • 70449382583 scopus 로고    scopus 로고
    • Functional clustering of neurons in motor cortex determined by cellular resolution imaging in awake behaving mice
    • Dombeck D.A., Graziano M.S., Tank D.W. Functional clustering of neurons in motor cortex determined by cellular resolution imaging in awake behaving mice. J. Neurosci. 2009, 29:13751-13760.
    • (2009) J. Neurosci. , vol.29 , pp. 13751-13760
    • Dombeck, D.A.1    Graziano, M.S.2    Tank, D.W.3
  • 45
    • 22544437021 scopus 로고    scopus 로고
    • Discriminating different types of synchrony in neural systems
    • Dzakpasu R., Zochowski M. Discriminating different types of synchrony in neural systems. Physica D 2005, 208:115-122.
    • (2005) Physica D , vol.208 , pp. 115-122
    • Dzakpasu, R.1    Zochowski, M.2
  • 46
    • 65249090828 scopus 로고    scopus 로고
    • Identifying functional connectivity in large-scale neural ensemble recordings: a multiscale data mining approach
    • Eldawlatly S., Jin R., Oweiss K.G. Identifying functional connectivity in large-scale neural ensemble recordings: a multiscale data mining approach. Neural Comput. 2009, 21:450-477.
    • (2009) Neural Comput. , vol.21 , pp. 450-477
    • Eldawlatly, S.1    Jin, R.2    Oweiss, K.G.3
  • 47
    • 84882824501 scopus 로고    scopus 로고
    • Millisecond precision reflects the collective dynamics of population codes in the rat somatosensory cortex
    • Eldawlatly S., Oweiss K. Millisecond precision reflects the collective dynamics of population codes in the rat somatosensory cortex. In preparation 2010.
    • (2010) In preparation
    • Eldawlatly, S.1    Oweiss, K.2
  • 48
    • 77649241232 scopus 로고    scopus 로고
    • On the use of dynamic Bayesian networks in reconstructing functional neuronal networks from spike train ensembles
    • Eldawlatly S., Zhou Y., Jin R., Oweiss K.G. On the use of dynamic Bayesian networks in reconstructing functional neuronal networks from spike train ensembles. Neural Comput. 2010, 22:158-189.
    • (2010) Neural Comput. , vol.22 , pp. 158-189
    • Eldawlatly, S.1    Zhou, Y.2    Jin, R.3    Oweiss, K.G.4
  • 49
    • 0141765798 scopus 로고    scopus 로고
    • Dynamical consequences of fast-rising, slow-decaying synapses in neuronal networks
    • Ermentrout B. Dynamical consequences of fast-rising, slow-decaying synapses in neuronal networks. Neural Comput. 2003, 15:2483-2522.
    • (2003) Neural Comput. , vol.15 , pp. 2483-2522
    • Ermentrout, B.1
  • 50
    • 67651030409 scopus 로고    scopus 로고
    • Synaptic mechanisms for plasticity in neocortex
    • Feldman D.E. Synaptic mechanisms for plasticity in neocortex. Annu. Rev. Neurosci. 2009, 32:33-55.
    • (2009) Annu. Rev. Neurosci. , vol.32 , pp. 33-55
    • Feldman, D.E.1
  • 51
    • 0028589359 scopus 로고
    • Analysis of mesial temporal seizure onset and propagation using the directed transfer function method
    • Franaszczuk P.J., Bergey G.K., Kaminski M.J. Analysis of mesial temporal seizure onset and propagation using the directed transfer function method. Electroenceph. Clin. Neurophysiol. 1994, 91:413-427.
    • (1994) Electroenceph. Clin. Neurophysiol. , vol.91 , pp. 413-427
    • Franaszczuk, P.J.1    Bergey, G.K.2    Kaminski, M.J.3
  • 52
    • 23044480921 scopus 로고    scopus 로고
    • Spike timing in CA3 pyramidal cells during behavior: implications for synaptic transmission
    • Frerking M., Schulte J., Wiebe S.P., Stäubli U. Spike timing in CA3 pyramidal cells during behavior: implications for synaptic transmission. J. Neurophysiol. 2005, 94:1528-1540.
    • (2005) J. Neurophysiol. , vol.94 , pp. 1528-1540
    • Frerking, M.1    Schulte, J.2    Wiebe, S.P.3    Stäubli, U.4
  • 54
    • 0028190347 scopus 로고
    • Functional and effective connectivity in neuroimaging: a synthesis
    • Friston K.J. Functional and effective connectivity in neuroimaging: a synthesis. Hum. Brain Mapp. 1994, 2:56-78.
    • (1994) Hum. Brain Mapp. , vol.2 , pp. 56-78
    • Friston, K.J.1
  • 55
    • 46049120251 scopus 로고    scopus 로고
    • Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex
    • Fujisawa S., Amarasingham A., Harrison M.T., Buzsáki G. Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex. Nat. Neurosci. 2008, 11:823-833.
    • (2008) Nat. Neurosci. , vol.11 , pp. 823-833
    • Fujisawa, S.1    Amarasingham, A.2    Harrison, M.T.3    Buzsáki, G.4
  • 56
    • 34147179944 scopus 로고    scopus 로고
    • A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales
    • Fusi S., Asaad W.F., Miller E.K., Wang X.J. A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales. Neuron 2007, 54:319-333.
    • (2007) Neuron , vol.54 , pp. 319-333
    • Fusi, S.1    Asaad, W.F.2    Miller, E.K.3    Wang, X.J.4
  • 57
    • 34548538013 scopus 로고    scopus 로고
    • Reconstructing gene-regulatory networks from time series, knock-out data, and prior knowledge
    • Geier F., Timmer J., Fleck C. Reconstructing gene-regulatory networks from time series, knock-out data, and prior knowledge. BMC Syst. Biol. 2007, 1:11.
    • (2007) BMC Syst. Biol. , vol.1 , pp. 11
    • Geier, F.1    Timmer, J.2    Fleck, C.3
  • 58
    • 0034738328 scopus 로고    scopus 로고
    • Cross correlation measures of unresolved multi-neuron recordings
    • Gerstein G.L. Cross correlation measures of unresolved multi-neuron recordings. J. Neurosci. Methods 2000, 100:41-51.
    • (2000) J. Neurosci. Methods , vol.100 , pp. 41-51
    • Gerstein, G.L.1
  • 59
    • 0014680923 scopus 로고
    • Simultaneously recorded trains of action potentials: analysis and functional interpretation
    • Gerstein G.L., Perkel D.H. Simultaneously recorded trains of action potentials: analysis and functional interpretation. Science 1969, 164:828-830.
    • (1969) Science , vol.164 , pp. 828-830
    • Gerstein, G.L.1    Perkel, D.H.2
  • 60
    • 33751019983 scopus 로고    scopus 로고
    • Parallel stages of learning and recovery of skilled reaching after motor cortex stroke: "oppositions" organize normal and compensatory movements
    • Gharbawie O.A., Whishaw I.Q. Parallel stages of learning and recovery of skilled reaching after motor cortex stroke: "oppositions" organize normal and compensatory movements. Behav. Brain Res. 2006, 175:249-262.
    • (2006) Behav. Brain Res. , vol.175 , pp. 249-262
    • Gharbawie, O.A.1    Whishaw, I.Q.2
  • 61
    • 35648941202 scopus 로고    scopus 로고
    • Reaching training in rats with spinal cord injury promotes plasticity and task specific recovery
    • Girgis J., Merrett D., Kirkland S., Metz G.A., Verge V., Fouad K. Reaching training in rats with spinal cord injury promotes plasticity and task specific recovery. Brain 2007, 130:2993.
    • (2007) Brain , vol.130 , pp. 2993
    • Girgis, J.1    Merrett, D.2    Kirkland, S.3    Metz, G.A.4    Verge, V.5    Fouad, K.6
  • 62
    • 34347361793 scopus 로고    scopus 로고
    • The neural basis of decision making
    • Gold J.I., Shadlen M.N. The neural basis of decision making. Annu. Rev. Neurosci. 2007, 30:535-574.
    • (2007) Annu. Rev. Neurosci. , vol.30 , pp. 535-574
    • Gold, J.I.1    Shadlen, M.N.2
  • 63
    • 33947110329 scopus 로고    scopus 로고
    • Evaluating information transfer between auditory cortical neurons
    • Gourévitch B., Eggermont J.J. Evaluating information transfer between auditory cortical neurons. J. Neurophysiol. 2007, 97:2533-2543.
    • (2007) J. Neurophysiol. , vol.97 , pp. 2533-2543
    • Gourévitch, B.1    Eggermont, J.J.2
  • 64
    • 0000351727 scopus 로고
    • Investigating causal relations by econometric models and cross-spectral methods
    • Granger C.W.J. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 1969, 37:424-438.
    • (1969) Econometrica , vol.37 , pp. 424-438
    • Granger, C.W.J.1
  • 65
    • 0024514737 scopus 로고
    • Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties
    • Gray C.M., König P., Engel A.K., Singer W. Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties. Nature 1989, 338:334-337.
    • (1989) Nature , vol.338 , pp. 334-337
    • Gray, C.M.1    König, P.2    Engel, A.K.3    Singer, W.4
  • 66
    • 0037422586 scopus 로고    scopus 로고
    • Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
    • Greicius M.D., Krasnow B., Reiss A.L., Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. PNAS 2003, 100:253-258.
    • (2003) PNAS , vol.100 , pp. 253-258
    • Greicius, M.D.1    Krasnow, B.2    Reiss, A.L.3    Menon, V.4
  • 67
    • 0036133948 scopus 로고    scopus 로고
    • Unitary events in multiple single-neuron spiking activity: II. Nonstationary data
    • Grün S., Diesmann M., Aertsen A. Unitary events in multiple single-neuron spiking activity: II. Nonstationary data. Neural Comput. 2002, 14:81-119.
    • (2002) Neural Comput. , vol.14 , pp. 81-119
    • Grün, S.1    Diesmann, M.2    Aertsen, A.3
  • 68
    • 0033928411 scopus 로고    scopus 로고
    • Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements
    • Harris K.D., Henze D.A., Csicsvari J., Hirase H., Buzsáki G. Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. J. Neurophysiol. 2000, 84:401-414.
    • (2000) J. Neurophysiol. , vol.84 , pp. 401-414
    • Harris, K.D.1    Henze, D.A.2    Csicsvari, J.3    Hirase, H.4    Buzsáki, G.5
  • 69
    • 0035221560 scopus 로고    scopus 로고
    • Using graphical models and genomic expression data to statistically validate models of genetic regulatory networks
    • Hawaii.
    • Hartemink A.J., Gifford D.K., Jaakkola T.S., Young R.A. Using graphical models and genomic expression data to statistically validate models of genetic regulatory networks. Pac. Symp. Biocomput. 2001, 422-433. Hawaii.
    • (2001) Pac. Symp. Biocomput. , pp. 422-433
    • Hartemink, A.J.1    Gifford, D.K.2    Jaakkola, T.S.3    Young, R.A.4
  • 72
    • 34249761849 scopus 로고
    • Learning bayesian networks: the combination of knowledge and statistical data
    • Heckerman D., Geiger D., Chickering D.M. Learning bayesian networks: the combination of knowledge and statistical data. Mach. Learn. 1995, 9:197-243.
    • (1995) Mach. Learn. , vol.9 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 73
    • 68949164552 scopus 로고    scopus 로고
    • Direct activation of sparse, distributed populations of cortical neurons by electrical microstimulation
    • Histed M.H., Bonin V., Reid R.C. Direct activation of sparse, distributed populations of cortical neurons by electrical microstimulation. Neuron 2009, 63:508-522.
    • (2009) Neuron , vol.63 , pp. 508-522
    • Histed, M.H.1    Bonin, V.2    Reid, R.C.3
  • 74
    • 33746160271 scopus 로고    scopus 로고
    • Neuronal ensemble control of prosthetic devices by a human with tetraplegia
    • Hochberg L.R., Serruya M.D., Friehs G.M., Mukand J.A., Saleh M., Caplan A.H., et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 2006, 442:164-171.
    • (2006) Nature , vol.442 , pp. 164-171
    • Hochberg, L.R.1    Serruya, M.D.2    Friehs, G.M.3    Mukand, J.A.4    Saleh, M.5    Caplan, A.H.6
  • 76
    • 0035315804 scopus 로고    scopus 로고
    • Sampling properties of the spectrum and coherency of sequences of action potentials
    • Jarvis M.R., Mitra P.P. Sampling properties of the spectrum and coherency of sequences of action potentials. Neural Comput. 2001, 13:717-749.
    • (2001) Neural Comput. , vol.13 , pp. 717-749
    • Jarvis, M.R.1    Mitra, P.P.2
  • 77
    • 84863074042 scopus 로고    scopus 로고
    • A probabilistic approach for optimizing spectral clustering
    • MIT Press, Cambridge, MA, Y. Weiss, B. Schölkopf, J. Platt (Eds.)
    • Jin R., Ding C., Kang F. A probabilistic approach for optimizing spectral clustering. Advances in neural information processing systems 2005, 18. MIT Press, Cambridge, MA. Y. Weiss, B. Schölkopf, J. Platt (Eds.).
    • (2005) Advances in neural information processing systems , vol.18
    • Jin, R.1    Ding, C.2    Kang, F.3
  • 78
    • 0035433274 scopus 로고    scopus 로고
    • Evaluating causal relations in neural systems: granger causality, directed transfer function and statistical assessment of significance
    • Kamiński M., Ding M., Truccolo W.A., Bressler S.L. Evaluating causal relations in neural systems: granger causality, directed transfer function and statistical assessment of significance. Biol. Cybern. 2001, 85:145-157.
    • (2001) Biol. Cybern. , vol.85 , pp. 145-157
    • Kamiński, M.1    Ding, M.2    Truccolo, W.A.3    Bressler, S.L.4
  • 79
  • 80
    • 17044417268 scopus 로고    scopus 로고
    • Stimulus dependence of neuronal correlation in primary visual cortex of the macaque
    • Kohn A., Smith M.A. Stimulus dependence of neuronal correlation in primary visual cortex of the macaque. J. Neurosci. 2005, 25:3661-3673.
    • (2005) J. Neurosci. , vol.25 , pp. 3661-3673
    • Kohn, A.1    Smith, M.A.2
  • 81
    • 0036246270 scopus 로고    scopus 로고
    • Summation of spatiotemporal input patterns in leaky integrate-and-fire neurons: application to neurons in the cochlear nucleus receiving converging auditory nerve fiber input
    • Kuhlmann L., Burkitt A.N., Paolini A., Clark G.M. Summation of spatiotemporal input patterns in leaky integrate-and-fire neurons: application to neurons in the cochlear nucleus receiving converging auditory nerve fiber input. J. Comput. Neurosci. 2002, 12:55-73.
    • (2002) J. Comput. Neurosci. , vol.12 , pp. 55-73
    • Kuhlmann, L.1    Burkitt, A.N.2    Paolini, A.3    Clark, G.M.4
  • 82
    • 0028482006 scopus 로고
    • Learning bayesian belief networks: an approach based on mdl principle
    • Lam W., Bacchus F. Learning bayesian belief networks: an approach based on mdl principle. Comput. Intell. 1994, 10:269-293.
    • (1994) Comput. Intell. , vol.10 , pp. 269-293
    • Lam, W.1    Bacchus, F.2
  • 83
    • 30344481367 scopus 로고    scopus 로고
    • Organizing principles of real-time memory encoding: neural clique assemblies and universal neural codes
    • Lin L., Osan R., Tsien J.Z. Organizing principles of real-time memory encoding: neural clique assemblies and universal neural codes. Trends Neurosci. 2006, 29:48-57.
    • (2006) Trends Neurosci. , vol.29 , pp. 48-57
    • Lin, L.1    Osan, R.2    Tsien, J.Z.3
  • 84
    • 41849126709 scopus 로고    scopus 로고
    • Disrupted small-world networks in schizophrenia
    • Liu Y., Liang M., Zhou Y., He Y., Hao Y., Song M., et al. Disrupted small-world networks in schizophrenia. Brain 2008, 131:945-961.
    • (2008) Brain , vol.131 , pp. 945-961
    • Liu, Y.1    Liang, M.2    Zhou, Y.3    He, Y.4    Hao, Y.5    Song, M.6
  • 85
    • 0242404408 scopus 로고    scopus 로고
    • MR imaging in the non-human primate: studies of function and of dynamic connectivity
    • Logothetis N.K. MR imaging in the non-human primate: studies of function and of dynamic connectivity. Curr. Opin. Neurobiol. 2003, 13:630-642.
    • (2003) Curr. Opin. Neurobiol. , vol.13 , pp. 630-642
    • Logothetis, N.K.1
  • 86
    • 43049104255 scopus 로고    scopus 로고
    • What we can do and what we cannot do with fMRI
    • Logothetis N.K. What we can do and what we cannot do with fMRI. Nature 2008, 453:869-878.
    • (2008) Nature , vol.453 , pp. 869-878
    • Logothetis, N.K.1
  • 87
    • 0034218519 scopus 로고    scopus 로고
    • A model for fast analog computation based on unreliable synapses
    • Maass W., Natschläger T. A model for fast analog computation based on unreliable synapses. Neural Comput. 2000, 12:1679-1704.
    • (2000) Neural Comput. , vol.12 , pp. 1679-1704
    • Maass, W.1    Natschläger, T.2
  • 89
    • 0031012615 scopus 로고    scopus 로고
    • Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs
    • Markram H., Lübke J., Frotscher M., Sakmann B. Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science 1997, 275:213-215.
    • (1997) Science , vol.275 , pp. 213-215
    • Markram, H.1    Lübke, J.2    Frotscher, M.3    Sakmann, B.4
  • 90
    • 0442309433 scopus 로고    scopus 로고
    • Generalized linear models
    • McCulloch C. Generalized linear models. J. Am. Stat. Assoc. 2000, 95:1320-1324.
    • (2000) J. Am. Stat. Assoc. , vol.95 , pp. 1320-1324
    • McCulloch, C.1
  • 91
    • 0032717445 scopus 로고    scopus 로고
    • Motor cortical representation of speed and direction during reaching
    • Moran D.W., Schwartz A.B. Motor cortical representation of speed and direction during reaching. J. Neurophysiol. 1999, 82:2676-2692.
    • (1999) J. Neurophysiol. , vol.82 , pp. 2676-2692
    • Moran, D.W.1    Schwartz, A.B.2
  • 95
    • 0041875229 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and an algorithm
    • MIT Press, Cambridge, MA, T.G. Dietterich, S. Becker, Z. Ghahramani (Eds.)
    • Ng A., Jordan M., Weiss A. On spectral clustering: Analysis and an algorithm. Advances in neural information processing systems 2001, 14. MIT Press, Cambridge, MA. T.G. Dietterich, S. Becker, Z. Ghahramani (Eds.).
    • (2001) Advances in neural information processing systems , vol.14
    • Ng, A.1    Jordan, M.2    Weiss, A.3
  • 97
    • 0037866386 scopus 로고    scopus 로고
    • Decoding neuronal spike trains: how important are correlations?
    • Nirenberg S., Latham P.E. Decoding neuronal spike trains: how important are correlations?. Proc. Natl. Acad. Sci. 2003, 100:7348-7353.
    • (2003) Proc. Natl. Acad. Sci. , vol.100 , pp. 7348-7353
    • Nirenberg, S.1    Latham, P.E.2
  • 99
    • 23044490853 scopus 로고    scopus 로고
    • Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity
    • Okatan M., Wilson M.A., Brown E.N. Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity. Neural Comput. 2005, 17:1927-1961.
    • (2005) Neural Comput. , vol.17 , pp. 1927-1961
    • Okatan, M.1    Wilson, M.A.2    Brown, E.N.3
  • 100
    • 0347088824 scopus 로고    scopus 로고
    • Spatiotemporal tuning of motor cortical neurons for hand position and velocity
    • Paninski L., Fellows M.R., Hatsopoulos N.G., Donoghue J.P. Spatiotemporal tuning of motor cortical neurons for hand position and velocity. J. Neurophysiol. 2004, 91:515-532.
    • (2004) J. Neurophysiol. , vol.91 , pp. 515-532
    • Paninski, L.1    Fellows, M.R.2    Hatsopoulos, N.G.3    Donoghue, J.P.4
  • 101
    • 34848820532 scopus 로고    scopus 로고
    • Statistical models for neural encoding, decoding, and optimal stimulus design
    • Paninski L., Pillow J., Lewi J. Statistical models for neural encoding, decoding, and optimal stimulus design. Prog. Brain Res. 2007, 165:493.
    • (2007) Prog. Brain Res. , vol.165 , pp. 493
    • Paninski, L.1    Pillow, J.2    Lewi, J.3
  • 102
    • 9744239998 scopus 로고    scopus 로고
    • Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model
    • Paninski L., Pillow J.W., Simoncelli E.P. Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. Neural Comput. 2004, 16:2533-2561.
    • (2004) Neural Comput. , vol.16 , pp. 2533-2561
    • Paninski, L.1    Pillow, J.W.2    Simoncelli, E.P.3
  • 105
  • 106
    • 0014104894 scopus 로고
    • Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains
    • Perkel D.H., Gerstein G.L., Moore G.P. Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. J. Biophys. 1967, 7:419-440.
    • (1967) J. Biophys. , vol.7 , pp. 419-440
    • Perkel, D.H.1    Gerstein, G.L.2    Moore, G.P.3
  • 107
    • 28044458279 scopus 로고    scopus 로고
    • Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model
    • Pillow J.W., Paninski L., Uzzell V.J., Simoncelli E.P., Chichilnisky E.J. Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model. J. Neurosci. 2005, 25:11003-11013.
    • (2005) J. Neurosci. , vol.25 , pp. 11003-11013
    • Pillow, J.W.1    Paninski, L.2    Uzzell, V.J.3    Simoncelli, E.P.4    Chichilnisky, E.J.5
  • 108
    • 50049100348 scopus 로고    scopus 로고
    • Spatiotemporal correlations and visual signalling in a complete neuronal population
    • Pillow J.W., Shlens J., Paninski L., Sher A., Litke A.M., Chichilnisky E.J., et al. Spatiotemporal correlations and visual signalling in a complete neuronal population. Nature 2008, 454:995-999.
    • (2008) Nature , vol.454 , pp. 995-999
    • Pillow, J.W.1    Shlens, J.2    Paninski, L.3    Sher, A.4    Litke, A.M.5    Chichilnisky, E.J.6
  • 109
    • 35348880916 scopus 로고    scopus 로고
    • Decoding visual inputs from multiple neurons in the human temporal lobe
    • Quiroga R.Q., Reddy L., Koch C., Fried I. Decoding visual inputs from multiple neurons in the human temporal lobe. J. Neurophysiol. 2007, 98:1997-2007.
    • (2007) J. Neurophysiol. , vol.98 , pp. 1997-2007
    • Quiroga, R.Q.1    Reddy, L.2    Koch, C.3    Fried, I.4
  • 110
    • 34547839743 scopus 로고    scopus 로고
    • Learning effective brain connectivity with dynamic Bayesian networks
    • Rajapakse J.C., Zhou J. Learning effective brain connectivity with dynamic Bayesian networks. Neuroimage 2007, 37:749-760.
    • (2007) Neuroimage , vol.37 , pp. 749-760
    • Rajapakse, J.C.1    Zhou, J.2
  • 112
    • 0039484223 scopus 로고    scopus 로고
    • Spike-timing dependent synaptic plasticity in biological systems
    • Roberts P.D., Bell C.C. Spike-timing dependent synaptic plasticity in biological systems. Biol. Cybern. 2002, 87:392-403.
    • (2002) Biol. Cybern. , vol.87 , pp. 392-403
    • Roberts, P.D.1    Bell, C.C.2
  • 113
    • 67049119347 scopus 로고    scopus 로고
    • Pairwise maximum entropy models for studying large biological systems: when they can work and when they can't
    • Roudi Y., Nirenberg S., Latham P.E. Pairwise maximum entropy models for studying large biological systems: when they can work and when they can't. PLoS Comput. Biol. 2009, 5:e1000380.
    • (2009) PLoS Comput. Biol. , vol.5
    • Roudi, Y.1    Nirenberg, S.2    Latham, P.E.3
  • 114
    • 0033662103 scopus 로고    scopus 로고
    • Gain modulation: a major computational principle of the central nervous system
    • Salinas E., Thier P. Gain modulation: a major computational principle of the central nervous system. Neuron 2000, 27:15-21.
    • (2000) Neuron , vol.27 , pp. 15-21
    • Salinas, E.1    Thier, P.2
  • 115
    • 0032716863 scopus 로고    scopus 로고
    • Using partial directed coherence to describe neuronal ensemble interactions
    • Sameshima K., Baccalá L.A. Using partial directed coherence to describe neuronal ensemble interactions. J. Neurosci. Methods 1999, 94:93-103.
    • (1999) J. Neurosci. Methods , vol.94 , pp. 93-103
    • Sameshima, K.1    Baccalá, L.A.2
  • 116
    • 0037444632 scopus 로고    scopus 로고
    • Cooperation between area 17 neuron pairs enhances fine discrimination of orientation
    • Samonds J.M., Allison J.D., Brown H.A., Bonds A.B. Cooperation between area 17 neuron pairs enhances fine discrimination of orientation. J. Neurosci. 2003, 23:416.
    • (2003) J. Neurosci. , vol.23 , pp. 416
    • Samonds, J.M.1    Allison, J.D.2    Brown, H.A.3    Bonds, A.B.4
  • 117
    • 33646170322 scopus 로고    scopus 로고
    • Weak pairwise correlations imply strongly correlated network states in a neural population
    • Schneidman E., Berry MJ., Segev R., Bialek W. Weak pairwise correlations imply strongly correlated network states in a neural population. Nature 2006, 440:1007.
    • (2006) Nature , vol.440 , pp. 1007
    • Schneidman, E.1    Berry, M.J.2    Segev, R.3    Bialek, W.4
  • 118
    • 0037133222 scopus 로고    scopus 로고
    • Cortical plasticity: learning from cortical reorganisation
    • Schnupp J.W.H., Kacelnik O. Cortical plasticity: learning from cortical reorganisation. Curr. Biol. 2002, 12:R144-R146.
    • (2002) Curr. Biol. , vol.12
    • Schnupp, J.W.H.1    Kacelnik, O.2
  • 119
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz G. Estimating the dimension of a model. Ann. Stat. 1978, 6:461-464.
    • (1978) Ann. Stat. , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 121
    • 0032525177 scopus 로고    scopus 로고
    • The variable discharge of cortical neurons: implications for connectivity, computation, and information coding
    • Shadlen M.N., Newsome W.T. The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J. Neurosci. 1998, 18:3870-3896.
    • (1998) J. Neurosci. , vol.18 , pp. 3870-3896
    • Shadlen, M.N.1    Newsome, W.T.2
  • 123
    • 68149162332 scopus 로고    scopus 로고
    • Synaptic interactions between forelimb-related motor cortex neurons in behaving primates
    • Smith W.S., Fetz E.E. Synaptic interactions between forelimb-related motor cortex neurons in behaving primates. J. Neurophysiol. 2009, 102:1026-1039.
    • (2009) J. Neurophysiol. , vol.102 , pp. 1026-1039
    • Smith, W.S.1    Fetz, E.E.2
  • 124
    • 0035950280 scopus 로고    scopus 로고
    • Cortical development and remapping through spike timing-dependent plasticity
    • Song S., Abbott L.F. Cortical development and remapping through spike timing-dependent plasticity. Neuron 2001, 32:339-350.
    • (2001) Neuron , vol.32 , pp. 339-350
    • Song, S.1    Abbott, L.F.2
  • 125
  • 126
    • 38349140387 scopus 로고    scopus 로고
    • Identification and classification of hubs in brain networks
    • Sporns O., Honey C.J., Kötter R. Identification and classification of hubs in brain networks. PLoS ONE 2007, 2:e1049.
    • (2007) PLoS ONE , vol.2
    • Sporns, O.1    Honey, C.J.2    Kötter, R.3
  • 127
    • 84872232047 scopus 로고    scopus 로고
    • Slowness: an objective for spike-timing-dependent plasticity?
    • Sprekeler H., Michaelis C., Wiskott L. Slowness: an objective for spike-timing-dependent plasticity?. PLoS Comput. Biol. 2007, 3:e112. 10.1371/journal.pcbi.0030112.
    • (2007) PLoS Comput. Biol. , vol.3
    • Sprekeler, H.1    Michaelis, C.2    Wiskott, L.3
  • 130
    • 46249131887 scopus 로고    scopus 로고
    • Network analysis of intrinsic functional brain connectivity in Alzheimer's disease
    • Supekar K., Menon V., Rubin D., Musen M., Greicius M.D. Network analysis of intrinsic functional brain connectivity in Alzheimer's disease. PLoS Comput. Biol. 2008, 4:e1000100.
    • (2008) PLoS Comput. Biol. , vol.4
    • Supekar, K.1    Menon, V.2    Rubin, D.3    Musen, M.4    Greicius, M.D.5
  • 131
    • 38349042222 scopus 로고    scopus 로고
    • A maximum entropy model applied to spatial and temporal correlations from cortical networks in vitro
    • Tang A., Jackson D., Hobbs J., Chen W., Smith J.L., Patel H., et al. A maximum entropy model applied to spatial and temporal correlations from cortical networks in vitro. J. Neurosci. 2008, 28:505-518.
    • (2008) J. Neurosci. , vol.28 , pp. 505-518
    • Tang, A.1    Jackson, D.2    Hobbs, J.3    Chen, W.4    Smith, J.L.5    Patel, H.6
  • 132
    • 12544253489 scopus 로고    scopus 로고
    • A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects
    • Truccolo W., Eden U.T., Fellows M.R., Donoghue J.P., Brown E.N. A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects. J. Neurophysiol. 2005, 93:1074-1089.
    • (2005) J. Neurophysiol. , vol.93 , pp. 1074-1089
    • Truccolo, W.1    Eden, U.T.2    Fellows, M.R.3    Donoghue, J.P.4    Brown, E.N.5
  • 133
    • 48149106692 scopus 로고    scopus 로고
    • Patches of face-selective cortex in the macaque frontal lobe
    • Tsao D.Y., Schweers N., Moeller S., Freiwald W.A. Patches of face-selective cortex in the macaque frontal lobe. Nat. Neurosci. 2008, 11:877-879.
    • (2008) Nat. Neurosci. , vol.11 , pp. 877-879
    • Tsao, D.Y.1    Schweers, N.2    Moeller, S.3    Freiwald, W.A.4
  • 134
    • 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. PNAS 1997, 94:719-723.
    • (1997) PNAS , vol.94 , pp. 719-723
    • Tsodyks, M.V.1    Markram, H.2
  • 136
    • 44649095824 scopus 로고    scopus 로고
    • Perceptuo-motor interactions during prehension movements
    • Verhagen L., Dijkerman H.C., Grol M.J., Toni I. Perceptuo-motor interactions during prehension movements. J. Neurosci. 2008, 28:4726-4735.
    • (2008) J. Neurosci. , vol.28 , pp. 4726-4735
    • Verhagen, L.1    Dijkerman, H.C.2    Grol, M.J.3    Toni, I.4
  • 137
    • 33751269120 scopus 로고    scopus 로고
    • Searching for plasticity in dissociated cortical cultures on multi-electrode arrays
    • Wagenaar D.A., Pine J., Potter S.M. Searching for plasticity in dissociated cortical cultures on multi-electrode arrays. J. Negat. Results Biomed. 2006, 5:16.
    • (2006) J. Negat. Results Biomed. , vol.5 , pp. 16
    • Wagenaar, D.A.1    Pine, J.2    Potter, S.M.3
  • 138
    • 65749118363 scopus 로고    scopus 로고
    • Graphical models, exponential families, and variational inference
    • Wainwright M.J., Jordan M. Graphical models, exponential families, and variational inference. Found. Trends Mach. Learn. 2008, 1:1-305.
    • (2008) Found. Trends Mach. Learn. , vol.1 , pp. 1-305
    • Wainwright, M.J.1    Jordan, M.2
  • 139
    • 40149091448 scopus 로고    scopus 로고
    • Selective adaptation in networks of heterogeneous populations: model, simulation, and experiment
    • Wallach A., Eytan D., Marom S., Meir R. Selective adaptation in networks of heterogeneous populations: model, simulation, and experiment. PLoS Comput. Biol 2008, 4(2):e29.
    • (2008) PLoS Comput. Biol , vol.4 , Issue.2
    • Wallach, A.1    Eytan, D.2    Marom, S.3    Meir, R.4
  • 142
    • 48549087008 scopus 로고    scopus 로고
    • In vivo calcium imaging reveals functional rewiring of single somatosensory neurons after stroke
    • Winship I.R., Murphy T.H. In vivo calcium imaging reveals functional rewiring of single somatosensory neurons after stroke. J. Neurosci. 2008, 28:6592-6606.
    • (2008) J. Neurosci. , vol.28 , pp. 6592-6606
    • Winship, I.R.1    Murphy, T.H.2
  • 143
    • 2442708539 scopus 로고    scopus 로고
    • Wireless implantable microsystems: high-density electronic interfaces to the nervous system
    • Wise K.D., Anderson D.J., Hetke J.F., Kipke D.R., Najafi K. Wireless implantable microsystems: high-density electronic interfaces to the nervous system. Proc. IEEE 2004, 92(1):76-97.
    • (2004) Proc. IEEE , vol.92 , Issue.1 , pp. 76-97
    • Wise, K.D.1    Anderson, D.J.2    Hetke, J.F.3    Kipke, D.R.4    Najafi, K.5
  • 145
    • 33644876951 scopus 로고    scopus 로고
    • Bayesian population decoding of motor cortical activity using a Kalman filter
    • Wu W., Gao Y., Bienenstock E., Donoghue J.P., Black M.J. Bayesian population decoding of motor cortical activity using a Kalman filter. Neural Comput. 2005, 18:80-118.
    • (2005) Neural Comput. , vol.18 , pp. 80-118
    • Wu, W.1    Gao, Y.2    Bienenstock, E.3    Donoghue, J.P.4    Black, M.J.5
  • 146
    • 72449175148 scopus 로고    scopus 로고
    • Rapid formation and selective stabilization of synapses for enduring motor memories
    • Xu T., Yu X., Perlik A.J., Tobin W.F., Zweig J.A., Tennant K., et al. Rapid formation and selective stabilization of synapses for enduring motor memories. Nature 2009, 462:915-919.
    • (2009) Nature , vol.462 , pp. 915-919
    • Xu, T.1    Yu, X.2    Perlik, A.J.3    Tobin, W.F.4    Zweig, J.A.5    Tennant, K.6
  • 147
    • 0030008773 scopus 로고    scopus 로고
    • Information theoretic analysis of action potential trains. II. Analysis of correlation among n neurons to deduce connection structure
    • Yamada S., Matsumoto K., Nakashima M., Shiono S. Information theoretic analysis of action potential trains. II. Analysis of correlation among n neurons to deduce connection structure. J. Neurosci. Methods 1996, 66:35-45.
    • (1996) J. Neurosci. Methods , vol.66 , pp. 35-45
    • Yamada, S.1    Matsumoto, K.2    Nakashima, M.3    Shiono, S.4
  • 148
    • 27644510620 scopus 로고    scopus 로고
    • Fine-scale specificity of cortical networks depends on inhibitory cell type and connectivity
    • Yoshimura Y., Callaway E.M. Fine-scale specificity of cortical networks depends on inhibitory cell type and connectivity. Nat. Neurosci. 2005, 8:1552-1559.
    • (2005) Nat. Neurosci. , vol.8 , pp. 1552-1559
    • Yoshimura, Y.1    Callaway, E.M.2
  • 149
    • 12344259602 scopus 로고    scopus 로고
    • Advances to Bayesian network inference for generating causal networks from observational biological data
    • Yu J., Smith V.A., Wang P.P., Hartemink A.J., Jarvis E.D. Advances to Bayesian network inference for generating causal networks from observational biological data. Bioinformatics 2004, 20:3594-3603.
    • (2004) Bioinformatics , vol.20 , pp. 3594-3603
    • Yu, J.1    Smith, V.A.2    Wang, P.P.3    Hartemink, A.J.4    Jarvis, E.D.5
  • 151
    • 27144490008 scopus 로고    scopus 로고
    • Response properties of an integrate-and-fire model that receives subthreshold inputs
    • Zhang X., Carney L.H. Response properties of an integrate-and-fire model that receives subthreshold inputs. Neural Comput. 2005, 17:2571-2601.
    • (2005) Neural Comput. , vol.17 , pp. 2571-2601
    • Zhang, X.1    Carney, L.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.