The statistical analysis of partially confounded covariates important to neural spiking

Journal of Neuroscience Methods

Volumn 205, Issue 2, 2012, Pages 295-304

  Lepage, Kyle Q ^a   MacDonald, Christopher J ^b   Eichenbaum, Howard ^b   Eden, Uri T ^a  

^a Boston University   (United States)

^b BOSTON UNIVERSITY   (United States)

Author keywords

Confound; Covariate disambiguation; Generalized linear model; Neural activity disambiguation; Point process; Projection

Indexed keywords

ANIMAL CELL; ARTICLE; DATA ANALYSIS; MAXIMUM LIKELIHOOD METHOD; MEMORY; NEURAL SPIKING; NONHUMAN; PRIORITY JOURNAL; RAT; SIMULATION; SPIKE; STATISTICAL ANALYSIS; STATISTICAL MODEL; VELOCITY;

ACTION POTENTIALS; ANIMALS; DATA INTERPRETATION, STATISTICAL; MODELS, NEUROLOGICAL; MODELS, THEORETICAL; NEURONS; RATS;

EID: 84857206297     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2011.12.021     Document Type: Article

References (24)

1. Aqil M., Hong K.-S., Jeong M.-Y. Orthogonal functions based estimation of fnirs signal strength as GLM parameters, in the course of real-time brain activation detection. 2010 international conference on control automation and systems (ICCAS) 2010, 2244-2247.
2. Box G.E.P., Draper N.R. Empirical model-building and response surfaces 1987, Wiley.
3. Casella G., Berger R.L. Statistical inference 2002, Duxbury Press. 2nd edition.
4. Christensen R. Plane answers to complex questions: the theory of linear models 2002, Springer. 3rd edition.
5. Cohen J.Y., Pierre P., Woodman G.F. Difficulty of visual search modulates neuronal interactions and response variability in the frontal eye field. Journal of Neural Physiology 2007, 98(5):2580-2587.
6. Cook R.D. Assessment of local influence. Journal of the Royal Statistical Society Series B (Methodological) 1986, 8(2):133-169.
7. Cox D.R., Reid N. Orthogonality and approximate conditional inference. Journal of the Royal Statistical Society Series B (Methodological) 1986, 49(1):1-39.
8. Georgopoulos A., Schwartz A., Kettner R. Neuronal population coding of movement direction. Science 1986, 233(4771):1416-1419.
9. Huang Y., Brandon M.P., Griffin A.L., Hasselmo M.E., Eden U.T. Decoding movement trajectories through a T-Maze using point process filters applied to place field data from rat hippocampal region CA1. Neural Computation 2009, 21:3305-3334.
10. Jenison R.L., Rangel A., Oya H., Kawasaki H., Howard M.A. Value encoding in single neurons in the human amygdala during decision making. The Journal of Neuroscience 2011, 31(1):331-338.
11. Kass R.E. The geometry of asymptotic inference. Statistical Science 1989, 4(3):188-219.
12. Kesner R.P., Hunsaker M.R., Gilbert P.E. The role of ca1 in the acquisition of an object-trace-odor paired associate task. Behavioral Neuroscience 2005, 119(June (3)):781-786.
13. Lawrence A.J. Regression transformation diagnostics using local influence. Journal of the American Statistical Association 1988, 83:1067-1072.
14. MacDonald C., Lepage K., Eden U., Eichenbaum H. Hippocampal " time cells" bridge the gap in memory for discontiguous events. Neuron 2011, 71(4).
15. McCullagh P., Nelder J.A. Generalized linear models 1999, Chapman & Hall/CRC. 2nd edition.
16. Saleh M., Takahashi K., Amit Y., Hatsopoulos N.G. Encoding of coordinated grasp trajectories in primary motor cortex. The Journal of Neuroscience 2010, 30(50):17079-17090.
17. Sarma S., Eden U., Cheng M., Williams Z., Hu R., Eskandar E., et al. Using point process models to compare neural spiking activity in the subthalamic nucleus of Parkinson's patients and a healthy primate. IEEE Transactions on Biomedical Engineering 2010, 57(June (6)):1297-1305.
18. Scharf L.L. Statistical Signal processing: detection, estimation, and time series analysis 1991, Addison-Wesley Publishing Company Inc.
19. Townsend B.R., Paninski L., Lemon R.N. Linear encoding of muscle activity in primary motor cortex and cerebellum. Journal of Neurophysiology 2006, 96(5):2578-2592.
20. 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. Journal of Neurophysiology 2005, 93(February (2)):1074-1089.
21. Truccolo W., Hochberg L.R., Donoghue J.P. Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes. Nature Neuroscience 2010, 13(January (1)):1163-1178.
22. Wessberg J., Stambaugh C.R., Kralik J.D., Beck P.D., Laubach M., Chapin J.K., Kim J., Biggs S.J., Srinivasan M.A., Nicolelis M.A.L. Real-time prediction of hand trajectory by ensembles of cortical neurons. Nature 2000, 408(6810):1416-1419.
23. Wood E.R., Dudchenko P., Robitsek R.J., Eichenbaum H. Hippocampal neurons encode information about different types of memory episodes occurring in the same location. Neuron 2000, 27(3):623-633.
24. Wood E.R., Dudchenko P.A., Eichenbaum H. The global record of memory in hippocampal neuronal activity. Nature 1999, 397(6720).