References

Ashburner, J., and Friston, K. (1997). Multimodal image coregistration and partitioning--a unified framework. Neuroimage6, 209-217.

Ashburner, J., and Friston, K.J. (2000). Voxel-based morphometry--the methods. Neuroimage 11, 805-821.

Bishop, C.M. (1995). Neural Networks for Pattern Recognition ( Oxford : Clarendon Press).

Carmena, J.M., Lebedev, M.A., Crist, R.E., O'Doherty, J.E., Santucci, D.M., Dimitrov, D.F., Patil, P.G., Henriquez, C.S., and Nicolelis, M.A. (2003). Learning to control a brain-machine interface for reaching and grasping by primates. PLoS Biol 1, E42.

Cristianini, N., and Shawe-Taylor, J. (2000). An introduction to support vector machines and other kernel-based learning methods ( Cambridge , U.K. ; New York : Cambridge University Press).

Dale, A.M., Fischl, B., and Sereno, M.I. (1999). Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage9, 179-194.

Desikan, R.S., Segonne, F., Fischl, B., Quinn, B.T., Dickerson, B.C., Blacker, D., Buckner, R.L., Dale, A.M., Maguire, R.P., Hyman, B.T., et al. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage31, 968-980.

Fell, J., Klaver, P., Lehnertz, K., Grunwald, T., Schaller, C., Elger, C.E., and Fernandez, G. (2001). Human memory formation is accompanied by rhinal-hippocampal coupling and decoupling. Nat Neurosci4, 1259-1264.

Fischl, B., van der Kouwe, A., Destrieux, C., Halgren, E., Segonne, F., Salat, D.H., Busa, E., Seidman, L.J., Goldstein, J., Kennedy, D., et al. (2004). Automatically parcellating the human cerebral cortex. Cereb Cortex 14, 11-22.

Green, D., and Swets, J. (1966). Signal detection theory and psychophysics ( New York : Wiley).

Hung, C., Kreiman, G., Poggio, T., and DiCarlo, J. (2005a). Fast Read-out of Object Identity from Macaque Inferior Temporal Cortex. Science 310, 863-866.

Hung, C., Kreiman, G., Poggio, T., and Dicarlo, J. (2005b). Ultra-fast object recognition from few spikes. ( Boston , MIT).

Keeping, E.S. (1995). Introduction to Statistical Inference ( New York : Dover ).

Kreiman, G., Hung, C., Quian Quiroga, R., Kraskov, A., Poggio, T., and DiCarlo, J. (2006). Object selectivity of local field potentials and spikes in the inferior temporal cortex of macaque monkeys. Neuron 49, 433-445.

Kreiman, G., Koch, C., and Fried, I. (2000). Category-specific visual responses of single neurons in the human medial temporal lobe. Nature Neuroscience 3, 946-953.

McCarthy, G., Puce, A., Belger, A., and Allison, T. (1999). Electrophysiological studies of human face perception. II: Response properties of face-specific potentials generated in

occipitotemporal cortex. Cerebral Cortex 9, 431-444.

Pelli, D. (1997). The VideoToolbox software for visual psychophysics: transforming numbers into movies. Spatial Vision 10, 437-442.

Press, W.H., Teukolsky, S.A., Vetterling, W.T., and Flannery, B.P. (1996). Numerical Recipes in C, 2nd edn ( Cambridge : Cambridge University Press).

Privman, E., Nir, Y., Kramer, U., Kipervasser, S., Andelman, F., Neufeld, M., Mukamel, R., Yeshurun, Y., Fried, I. , and Malach, R. (2007). Enhanced category tuning revealed by iEEG in high order human visual areas. Journal of Neuroscience 6, 6234-6242.

Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychol Bull 124, 372-422.

Richmond , B., Wurtz, R., and Sato, T. (1983). Visual responses in inferior temporal neurons in awake Rhesus monkey. Journal of Neurophysiology 50, 1415-1432.

Rifkin, R., and Klautau, A. (2004). In defense of one-vs-all classification. Journal of Machine Learning Research 5, 101-110.

Santhanam, G., Ryu, S.I., Yu, B.M., Afshar, A., and Shenoy, K.V. (2006). A high performance brain-computer interface. Nature 442, 195-198.

Schmolesky, M., Wang, Y., Hanes, D., Thompson, K., Leutgeb, S., Schall, J., and Leventhal, A. (1998). Signal timing across the macaque visual system. Journal of Neurophysiology 79, 3272-3278.

Thorpe, S., Fize, D., and Marlot, C. (1996). Speed of processing in the human visual system. Nature 381, 520-522.

Vapnik, V. (1995). The Nature of Statistical Learning Theory ( New York : Springer).

 

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