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Volumn 4, Issue 8, 2009, Pages

Evaluation of the performance of information theory-based methods and cross-correlation to estimate the functional connectivity in cortical networks

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL CELL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN CORTEX; EMBRYO; ENTROPY; IN VITRO STUDY; INFORMATION SCIENCE; MICROELECTRODE; NERVE CELL CULTURE; NERVE CELL NETWORK; NONHUMAN; RAT; STATISTICAL ANALYSIS; ACTION POTENTIAL; ANIMAL; PHYSIOLOGY; RECEIVER OPERATING CHARACTERISTIC;

EID: 68349131554     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0006482     Document Type: Article
Times cited : (158)

References (47)
  • 1
    • 3042608258 scopus 로고    scopus 로고
    • Hulata E, Baruchi I, Segev R, Shapira Y, Ben-Jacob E (2004) Self-regulated complexity in cultured neuronal networks. Physical Review Letters 92: 1981051-1981054.
    • Hulata E, Baruchi I, Segev R, Shapira Y, Ben-Jacob E (2004) Self-regulated complexity in cultured neuronal networks. Physical Review Letters 92: 1981051-1981054.
  • 2
    • 41049096538 scopus 로고    scopus 로고
    • Identifyng repeating motifs in the activation of synchronized bursts in cultured neuronal netorks
    • Raichman N, Ben-Jacob E (2008) Identifyng repeating motifs in the activation of synchronized bursts in cultured neuronal netorks. Journal of Neuroscience Methods 170: 96-110.
    • (2008) Journal of Neuroscience Methods , vol.170 , pp. 96-110
    • Raichman, N.1    Ben-Jacob, E.2
  • 3
    • 37549042340 scopus 로고    scopus 로고
    • On the dynamics of the spontaneous activity in neuronal networks. PLoS ONE
    • Mazzoni A, Broccard FD, Garcia-Perez E, Bonifazi P, Ruaro ME, et al. (2007) On the dynamics of the spontaneous activity in neuronal networks. PLoS ONE 2: e439.
    • (2007) , vol.2
    • Mazzoni, A.1    Broccard, F.D.2    Garcia-Perez, E.3    Bonifazi, P.4    Ruaro, M.E.5
  • 4
    • 43949083698 scopus 로고    scopus 로고
    • Self-organization and neuronal avalanches in networks of dissociated cortical neurons
    • Pasquale V, Massobrio P, Bologna LL, Chiappalone M, Martinoia S (2008) Self-organization and neuronal avalanches in networks of dissociated cortical neurons. Neuroscience 153: 1354-1369.
    • (2008) Neuroscience , vol.153 , pp. 1354-1369
    • Pasquale, V.1    Massobrio, P.2    Bologna, L.L.3    Chiappalone, M.4    Martinoia, S.5
  • 5
    • 34547662347 scopus 로고    scopus 로고
    • Precisely timed spatiotemporal patterns of neural activity in dissociated cortical cultures
    • Rolston JD, Wagenaar DA, Potter SM (2007) Precisely timed spatiotemporal patterns of neural activity in dissociated cortical cultures. Neuroscience 148: 294-303.
    • (2007) Neuroscience , vol.148 , pp. 294-303
    • Rolston, J.D.1    Wagenaar, D.A.2    Potter, S.M.3
  • 8
    • 9644260583 scopus 로고    scopus 로고
    • Learning in ex-vivo developing networks of cortical neurons
    • Marom S, Eytan D (2005) Learning in ex-vivo developing networks of cortical neurons. Progress in Brain Research 147.
    • (2005) Progress in Brain Research , pp. 147
    • Marom, S.1    Eytan, D.2
  • 9
    • 0036121949 scopus 로고    scopus 로고
    • Development, learning and memory in large random networks of cortical neurons: Lessons beyond anatomy
    • Marom S, Shahaf G (2002) Development, learning and memory in large random networks of cortical neurons: lessons beyond anatomy. Quarterly Reviews of Biophysics 35: 63-87.
    • (2002) Quarterly Reviews of Biophysics , vol.35 , pp. 63-87
    • Marom, S.1    Shahaf, G.2
  • 10
    • 34249894467 scopus 로고    scopus 로고
    • Local cortical circuit model inferred from power-law distributed neuronalavalaches
    • Teramae J-n, Fukai T (2007) Local cortical circuit model inferred from power-law distributed neuronalavalaches. Journal of Computational Neuroscience 22: 301-312.
    • (2007) Journal of Computational Neuroscience , vol.22 , pp. 301-312
    • Teramae, J.-N.1    Fukai, T.2
  • 11
    • 33748129944 scopus 로고    scopus 로고
    • Dynamics and effective topology underlying synchronization in networks of cortical neurons
    • Eytan D, Marom S (2006) Dynamics and effective topology underlying synchronization in networks of cortical neurons. The Journal of Neuroscience 26: 8465-8476.
    • (2006) The Journal of Neuroscience , vol.26 , pp. 8465-8476
    • Eytan, D.1    Marom, S.2
  • 12
    • 47649113214 scopus 로고    scopus 로고
    • Largescale, high resolution data acquisition system for extracellular recording of electrophysiological activity
    • Imfeld K, Neukom S, Maccione A, Bornat Y, Martinoia S, et al. (2008) Largescale, high resolution data acquisition system for extracellular recording of electrophysiological activity. IEEE Transactions on Biomedical Engineering 5: 2064-2073.
    • (2008) IEEE Transactions on Biomedical Engineering , vol.5 , pp. 2064-2073
    • Imfeld, K.1    Neukom, S.2    Maccione, A.3    Bornat, Y.4    Martinoia, S.5
  • 13
    • 85040486649 scopus 로고    scopus 로고
    • Classes of network connetivity and dynamics
    • Sporns O, Tononi G (2002) Classes of network connetivity and dynamics. Complexity 7: 28-38.
    • (2002) Complexity , vol.7 , pp. 28-38
    • Sporns, O.1    Tononi, G.2
  • 14
    • 8344243726 scopus 로고    scopus 로고
    • VSDI: A new era in functional imaging of cortical dynamics
    • Grinvald A, Hildesheim R (2004) VSDI: a new era in functional imaging of cortical dynamics. Nature 5: 874-885.
    • (2004) Nature , vol.5 , pp. 874-885
    • Grinvald, A.1    Hildesheim, R.2
  • 15
    • 0027138523 scopus 로고
    • Time-dependent changes in effective connectivity measured with PET
    • Friston KJ, Frith C, Frackowiak R (1993) Time-dependent changes in effective connectivity measured with PET. Human Brain Mapping 1: 69-79.
    • (1993) Human Brain Mapping , vol.1 , pp. 69-79
    • Friston, K.J.1    Frith, C.2    Frackowiak, R.3
  • 16
    • 0028190347 scopus 로고
    • Functional and effective connectivity in neuroimaging: A syntesis
    • Friston KJ (1994) Functional and effective connectivity in neuroimaging: a syntesis. Human Brain Mapping 2: 56-78.
    • (1994) Human Brain Mapping , vol.2 , pp. 56-78
    • Friston, K.J.1
  • 17
    • 0031212138 scopus 로고    scopus 로고
    • Information transmission in human cerebral cortex
    • Xu J, Liu Z-r, Liu R, Yang Q-f (1997) Information transmission in human cerebral cortex. Physica D 106: 363-374.
    • (1997) Physica D , vol.106 , pp. 363-374
    • Xu, J.1    Liu, Z.-R.2    Liu, R.3    Yang, Q.-F.4
  • 18
    • 36749080353 scopus 로고    scopus 로고
    • Lungarella M, Pitti A, Kuniyoshi Y (2007) Information transfer at multiple scales. Physical Review E 76: 0561171-05611710.
    • Lungarella M, Pitti A, Kuniyoshi Y (2007) Information transfer at multiple scales. Physical Review E 76: 0561171-05611710.
  • 19
    • 0035432365 scopus 로고    scopus 로고
    • Correlated neuronal activity and the flow of neural information
    • Salinas E, Sejnowski TJ (2001) Correlated neuronal activity and the flow of neural information. Nature Reviews Neuroscience 2: 539-550.
    • (2001) Nature Reviews Neuroscience , vol.2 , pp. 539-550
    • Salinas, E.1    Sejnowski, T.J.2
  • 20
    • 34247581420 scopus 로고    scopus 로고
    • Cross-intensity functions and the estimate of spike-time jitter
    • Hahnloser RHR (2007) Cross-intensity functions and the estimate of spike-time jitter. Biological Cybernetics 96: 497-506.
    • (2007) Biological Cybernetics , vol.96 , pp. 497-506
    • Hahnloser, R.H.R.1
  • 21
    • 0031989637 scopus 로고    scopus 로고
    • A cross-interval spike train analysis: The correlation between spike generation and temporal integration of doublets
    • Tam DC (1998) A cross-interval spike train analysis: the correlation between spike generation and temporal integration of doublets. Biological Cybernetics 78: 65-106.
    • (1998) Biological Cybernetics , vol.78 , pp. 65-106
    • Tam, D.C.1
  • 22
    • 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 K, Shiono S (1996) Information theoretic analysis of action potential trains. II. Analysis of correlation among n neurons to deduce connection structure. Journal of Neuroscience Methods 66: 35-45.
    • (1996) Journal of Neuroscience Methods , vol.66 , pp. 35-45
    • Yamada, S.1    Matsumoto, K.2    Nakashima, K.3    Shiono, S.4
  • 26
    • 33646023117 scopus 로고    scopus 로고
    • An introduction to ROC analysis
    • Fawcett T (2006) An introduction to ROC analysis. Pattern Recognition Letters 27: 861-874.
    • (2006) Pattern Recognition Letters , vol.27 , pp. 861-874
    • Fawcett, T.1
  • 27
    • 0027226219 scopus 로고
    • Optimized survival of hippocampal neurons in B27-supplemented Neurobasal, a new serum-free medium combination
    • Brewer GJ, Torricelli JR, Evege EK, Price PJ (1993) Optimized survival of hippocampal neurons in B27-supplemented Neurobasal, a new serum-free medium combination. Journal of Neuroscience Research 35: 567-576.
    • (1993) Journal of Neuroscience Research , vol.35 , pp. 567-576
    • Brewer, G.J.1    Torricelli, J.R.2    Evege, E.K.3    Price, P.J.4
  • 29
    • 0032212665 scopus 로고    scopus 로고
    • Strengthening of synchronized activity by tetanic stimulation in cortical cultures: Application of planar electrode arrays
    • Jimbo Y, Robinson HPC, Kawana A (1998) Strengthening of synchronized activity by tetanic stimulation in cortical cultures: application of planar electrode arrays. IEEE Transactions on Biomedical Engineering 45: 1297-1304.
    • (1998) IEEE Transactions on Biomedical Engineering , vol.45 , pp. 1297-1304
    • Jimbo, Y.1    Robinson, H.P.C.2    Kawana, A.3
  • 30
    • 0035889981 scopus 로고    scopus 로고
    • Learning in networks of cortical neurons
    • Shahaf G, Marom S (2001) Learning in networks of cortical neurons. The Journal of Neuroscience 21: 8782-8788.
    • (2001) The Journal of Neuroscience , vol.21 , pp. 8782-8788
    • Shahaf, G.1    Marom, S.2
  • 31
    • 4344661328 scopus 로고    scopus 로고
    • Which model to use for cortical spiking neurons?
    • Izhikevich EM (2004) Which model to use for cortical spiking neurons? IEEE Transactions on Neural Networks 15: 1063-1070.
    • (2004) IEEE Transactions on Neural Networks , vol.15 , pp. 1063-1070
    • Izhikevich, E.M.1
  • 33
    • 0023082219 scopus 로고
    • Influence of noise on the function of a "Physiological" neural network
    • Buchmann J, Schulten K (1987) Influence of noise on the function of a "Physiological" neural network. Biological Cybernetics 56: 313-327.
    • (1987) Biological Cybernetics , vol.56 , pp. 313-327
    • Buchmann, J.1    Schulten, K.2
  • 34
    • 0344569382 scopus 로고
    • Detection of neuronal interactions using correlation analysis
    • Knox CK (1981) Detection of neuronal interactions using correlation analysis. Trends in Neurosciences 4: 222-225.
    • (1981) Trends in Neurosciences , vol.4 , pp. 222-225
    • Knox, C.K.1
  • 35
  • 36
    • 0001065513 scopus 로고
    • The Upward Bias in Measures of Information Derived from Limited Data Samples
    • Treves A, Panzeri S (1995) The Upward Bias in Measures of Information Derived from Limited Data Samples. Neural Computation 7: 399-407.
    • (1995) Neural Computation , vol.7 , pp. 399-407
    • Treves, A.1    Panzeri, S.2
  • 37
    • 0037446589 scopus 로고    scopus 로고
    • Statistical assessment of nonlinear causality: Application to epileptic EEG signals
    • Chavez M, Martinerie J, Le Van Quyen M (2003) Statistical assessment of nonlinear causality: application to epileptic EEG signals. Journal of Neuroscience Methods 124: 113-128.
    • (2003) Journal of Neuroscience Methods , vol.124 , pp. 113-128
    • Chavez, M.1    Martinerie, J.2    Le3    Van Quyen, M.4
  • 38
    • 33947110329 scopus 로고    scopus 로고
    • Evaluating information transfer between auditory cortical neurons
    • Gourévitch B, Eggermont JJ (2007) Evaluating information transfer between auditory cortical neurons. Journal of Neurophysiology 97: 2533-2543.
    • (2007) Journal of Neurophysiology , vol.97 , pp. 2533-2543
    • Gourévitch, B.1    Eggermont, J.J.2
  • 39
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • Bradley AP (1997) The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition Letters 30: 15.
    • (1997) Pattern Recognition Letters , vol.30 , pp. 15
    • Bradley, A.P.1
  • 42
    • 0000563446 scopus 로고    scopus 로고
    • Partially synchronized states in networks of pulse-coupled neurons
    • Van Vreeswijk C (1996) Partially synchronized states in networks of pulse-coupled neurons. Physical Review E 54: 5522-5537.
    • (1996) Physical Review E , vol.54 , pp. 5522-5537
    • Van Vreeswijk, C.1
  • 44
    • 33745454023 scopus 로고    scopus 로고
    • Dissociated cortical networks show spontaneously correlated activity patterns during in vitro development
    • Chiappalone M, Bove M, Vato A, Tedesco M, Martinoia S (2006) Dissociated cortical networks show spontaneously correlated activity patterns during in vitro development. Brain Research 1093: 41-53.
    • (2006) Brain Research , vol.1093 , pp. 41-53
    • Chiappalone, M.1    Bove, M.2    Vato, A.3    Tedesco, M.4    Martinoia, S.5
  • 45
    • 0033334496 scopus 로고    scopus 로고
    • Information theory and neural code
    • 11 p
    • Borst A, Theunissen F (1999) Information theory and neural code. Nature. 11 p.
    • (1999) Nature
    • Borst, A.1    Theunissen, F.2
  • 46
    • 68349160593 scopus 로고
    • Mutual Information Functions Versus cross-correlation
    • Li W (1990) Mutual Information Functions Versus cross-correlation. Statistical Physics 60: 15.
    • (1990) Statistical Physics , vol.60 , pp. 15
    • Li, W.1
  • 47
    • 12944275674 scopus 로고    scopus 로고
    • Measuring Information Transfer
    • Schreiber T (2000) Measuring Information Transfer. Physical review 85: 4.
    • (2000) Physical review , vol.85 , pp. 4
    • Schreiber, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.