Estimating membrane voltage correlations from extracellular spike trains

Journal of Neurophysiology

Volumn 89, Issue 4, 2003, Pages 2271-2278

  Dorn, Jessy D ^a   Ringach, Dario L ^a,b,c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b JULES STEIN EYE INSTITUTE   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CALCULATION; CELL INTERACTION; CORRELATION COEFFICIENT; ELECTRIC POTENTIAL; EXPERIMENTAL MODEL; MEMBRANE ELECTROPHYSIOLOGY; NERVE CELL; NERVE CELL MEMBRANE CONDUCTANCE; PRIORITY JOURNAL; SPIKE WAVE;

ACTION POTENTIALS; ANIMALS; COMPUTER SIMULATION; EXTRACELLULAR SPACE; MODELS, NEUROLOGICAL; NEURONS;

EID: 0037387478     PISSN: 00223077     EISSN: None     Source Type: Journal    
DOI: 10.1152/jn.000889.2002     Document Type: Article

References (29)

1. Abbott LF and Sejnowski TJ. Neural Codes and Distributed Representations: Foundations of Neural Computation. Cambridge, MA: MIT Press, 1999.
2. Agresti A. Categorical Data Analysis. New York: Wiley, 1990.
3. Aertsen AMHJ and Gerstein GL. Evaluation of neuronal connectivity: sensitivity of cross-correlations. Brain Res 340: 341-354, 1985.
4. Aertsen AMHJ, Gerstein GL, Habib MK, and Palm G. Dynamics of neuronal firing correlation: modulation of "effective connectivity." J Neurophysiol 61: 900-917, 1989.
5. Anderson JS, Lampl I, Reichova I, Carandini M, and Ferster D. Stimulus dependence of two-state fluctuations of membrane potential in cat visual cortex. Nat Neurosci 3: 617-621, 2000.
6. Bair W, Zohary E, and Newsome WT. Correlated firing in macaque visual area MT: time scales and relationship to behavior. J Neurosci 21: 1676-1697, 2001.
7. Brillinger DR. Measuring the association of point processes: a case history. Am Math Monthly 83: 16-22, 1976.
8. Brody CD. Correlations without synchrony. Neural Comput 11: 1537-1551, 1999.
9. Brosch M and Schreiner CE. Correlations between neural discharges are related to receptive field properties in cat primary auditory cortex. Exp J Neurosci 11: 3517-3530, 1999.
10. Efron B and Tibshirani RJ. An Introduction to the Bootstrap. New York: Chapman and Hall, 1993.
11. Eggermont JJ and Smith GM. Neural connectivity only accounts for a small part of neural correlation in auditory cortex. Exp Brain Res 110: 379-391, 1996.
12. Epping WJM and Eggermont JJ. Coherent neural activity in the auditory midbrain of the grassfrog. J Neurophysiol 57: 1464-1483, 1987.
13. Everitt BS. Analysis of Contingency Tables (2nd ed.). New York: Chapman and Hall, 1992.
14. Ghose GM, Freeman RD, and Ohzawa I. Local intraconical connections in the cat's visual cortex: postnatal development and plasticity. J Neurophysiol 72: 1290-1303, 1994.
15. Hubalek Z. Coefficients of association and similarity, based on binary (presence-absence) data: an evaluation. Biol Rev 57: 669-689, 1982.
16. Ito H and Tsuji S. Model dependence in quantification of spike interdependence by joint peri-stimulus time histogram. Neural Comput 12: 195-217, 2000.
17. Kruger J and Aiple F. Multimicroelectrode investigation of monkey striate cortex: spike train correlations in the infragranular layers. J Neurophysiol 60: 798-828, 1988.
18. Lampi I, Reichova I, and Ferster D. Synchronous membrane potential fluctuations in neurons of the cat visual cortex. Neuron 22: 361-374, 1999.
19. Palm G, Aertsen AMHJ, and Gerstein GL. On the significance of correlations among neuronal spike trains. Biol Cybern 59: 1-11, 1988.
20. Pearson K. Mathematical contributions to the theory of evolution. VII. On the correlation of characters not quantitatively measurable. Philos Trans R Soc Lond A Math Phys 195: 1-47, 1900.
21. Pearson K and Heron D. On theories of association. Biometrika 9: 159-315, 1913.
22. Perkel DH, Gerstein GL, and Moore GP. Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. Biophys J 7: 419-440, 1967.
23. Ringach DL. Spatial structure and symmetry of simple-cell receptive fields in macaque primary visual cortex. J Neurophysiol 88: 455-463, 2002.
24. Roe AW and Ts'o DY. Specificity of color connectivity between primate V1 and V2. J Neurophysiol 82: 2719-2730, 1999.
25. Salinas E and Sejnowski TJ. Impact of correlated synaptic input on output firing rate and variability in simple neuronal models. J Neurosci 20: 6193-6200, 2000.
26. Tallis GM. The maximum likelihood estimation of correlation from contingency tables. Biometrics 18: 342-353, 1962.
27. van den Boogaard H, Hesselmans G, and Johannesma P. System identification based on point processes and correlation densities. I. The nonrefractory neuron model. Math Biosci 80: 143-171, 1986.
28. Wielaard DJ, Shelley M, McLaughlin D, and Shapley R. How simple cells are made in a nonlinear network model of the visual cortex. J Neurosci 21: 5203-5211, 2001.
29. Yule GU. On the methods of measuring association between two attributes. J R Stat Soc 75: 579-652, 1912.