Tracking spike-amplitude changes to improve the quality of multineuronal data analysis

IEEE Transactions on Biomedical Engineering

Volumn 54, Issue 2, 2007, Pages 262-272

  Kaneko, Hidekazu ^a   Tamura, Hiroshi ^b   Suzuki, Shinya S ^a  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^b OSAKA UNIVERSITY   (Japan)

Author keywords

Information theory; Microelectrode recording; Single unit recording; Spike discrimination; Spike sorter; Vision

Indexed keywords

BIOMEDICAL ENGINEERING; DATA REDUCTION; ELECTROPHYSIOLOGY; INFORMATION THEORY; MICROELECTRODES; WAVEFORM ANALYSIS;

MICROELECTRODE RECORDING; SINGLE-UNIT RECORDING; SPIKE DISCRIMINATION; SPIKE SORTER;

NEUROLOGY;

ACTION POTENTIAL; ALGORITHM; AMPLITUDE MODULATION; ANIMAL EXPERIMENT; ARTICLE; BRAIN REGION; DATA ANALYSIS; ELECTRODE; EVALUATION; INFORMATION; METHODOLOGY; MICROELECTRODE; MONKEY; NERVE CELL; NERVE POTENTIAL; NONHUMAN; OBJECT RELATION; VISUAL STIMULATION;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; DIAGNOSIS, COMPUTER-ASSISTED; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; MACACA; NERVE NET; NEURONS; PATTERN RECOGNITION, AUTOMATED; TEMPORAL LOBE;

EID: 33846677442     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2006.886934     Document Type: Article

References (22)

1. B. L. McNaughton, J. O'Keefe, and C. A. Barnes, "The stereotrode: A new technique for simultaneous isolation of several single units in the central nervous system from multiple unit records," J. Neurosci. Meth., vol. 8, pp. 391-397, 1983.
2. M. S. Lewicki, "A review of methods for spike sorting: The detection and classification of neural action potentials," Network, vol. 9, pp. R53-R78, 1998.
3. E. N. Brown, R. E. Kass, and P. P. Mitra, "Multiple neural spike train data analysis: State-of-the-art and future challenges," Nat. Neurosci., vol. 7, pp. 456-461, 2004.
4. K. D. Harris, H. Hirase, X. Leinekugel, D. A. Henze, and G. Buzsáki, "Temporal interaction between single spikes and complex spike bursts in hippocampal pyramidal cells," Neuron, vol. 32, pp. 141-149, 2001.
5. M. C. Quirk, K. I. Blum, and M. A. Wilson, "Experience-dependent changes in extracellular spike amplitude may reflect regulation of dendritic action potential back-propagation in rat hippocampal pyramidal cells," J. Neurosci., vol. 21, pp. 240-248, 2001.
6. R. K. Snider and A. B. Bonds, "Classification of non-stationary neural signals," J. Neurosci. Meth., vol. 84, pp. 155-166, 1998.
7. H. Kaneko, S. S. Suzuki, J. Okada, and M. Akamatsu, "Multineuronal spike classification based on multisite electrode recording, whole-waveform analysis, and hierarchical clustering," IEEE Trans. Biomed. Eng., vol. 46, no. 3, pp. 280-290, Mar. 1999.
8. H. Tamura, H. Kaneko, K. Kawasaki, and I. Fujita, "Presumed inhibitory neurons in the macaque inferior temporal cortex: Visual response properties and functional interactions with adjacent neurons," J. Neurophysiol., vol. 91, pp. 2782-2796, 2004.
9. B. J. Richmond, R. H.Wurtz, and T. Sato, "Visual responses of inferior temporal neurons in awake rhesus monkey," J. Neurophysiol., vol. 50, pp. 1415-1432, 1983.
10. G. Buzsáki, M. Penttonen, Z. Nádasdy, and A. Bragin, "Pattern and inhibition-dependent invasion of pyramidal cell dendrites by fast spikes in the hippocampus in vivo," in Proc. Nat. Acad. Sc.i USA, 1996, vol. 93, pp. 9921-9925.
11. W. J. Krzanowski, Principles of Multivariate Analysis: A User's Perspective, Revised ed. New York: Oxford Univ. Press, 2000.
12. K. D. Harris, D. A. Henze, J. Csicsvari, H. Hirase, and G. Buzsáki, "Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements," J. Neurophysiol., vol. 84, pp. 401-414, 2000.
13. T. M. Cover and J. A. Thomas, Elements of Information Theory. New York: Wiley, 1991.
14. L. M. Optican and B. J. Richmond, "Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. III. Information theoretic analysis," J. Neurophysiol., vol. 57, pp. 162-78, 1987.
15. M. Matsumura, D. Chen, T. Sawaguchi, K. Kubota, and E. E. Fetz, "Synaptic interactions between primate precentral cortex neurons revealed by spike-triggered averaging of intracellular membrane potentials in vivo," J. Neurosci., vol. 16, pp. 7757-7767, 1996.
16. M. J. Tovée, E. T. Rolls, A. Treves, and R. P. Bellis, "Information encoding and the responses of single neurons in the primate temporal visual cortex," J. Neurophysiol., vol. 70, pp. 640-654, 1993.
17. T. J. Gawne and B. J. Richmond, "How independent are the messages carried by adjacent inferior temporal cortical neurons?," J. Neurosci., vol. 13, pp. 2758-2771, 1993.
18. P. M. Gochin, E. K. Miller, C.G. Gross, and G. L. Gerstein, "Functional interactions among neurons in inferior temporal cortex of the awake macaque," Exp. Brain Res., vol. 84, pp. 505-516, 1991.
19. I. Bar-Gad, Y. Ritov, and H. Bergman, "The neuronal refractory period causes a short-term peak in the autocorrelation function," J. Neurosci. Meth., vol. 104, pp. 155-163, 2001.
20. S. Takahashi, Y. Anzai, and Y. Sakurai, "Automatic sorting for multineuronal activity recorded with tetrodes in the presence of overlapping spikes," J. Neurophysiol., vol. 89, pp. 2245-2258, 2003.
21. S. Takahashi and Y. Sakurai, "Real-time and automatic sorting of multi-neuronal activity for sub-millisecond interactions in vivo," Neuroscience, vol. 134, pp. 301-315, 2005.
22. A. A. Emondi, S. P. Rebrik, A. V. Kurgansky, and K. D. Miller, "Tracking neurons recorded from tetrodes across time," J. Neurosci. Meth., vol. 135, pp. 95-105, 2004.