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Number of items: 6.

Habes, I., Rushton, S., Johnston, S. J., Sokunbi, M. O., Barawi, K., Brosnan, M., Daly, T., Ihssen, N. and Linden, D. E. J. 2016. fMRI neurofeedback of higher visual areas and perceptual biases. Neuropsychologia 85 , pp. 208-215. 10.1016/j.neuropsychologia.2016.03.031
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Sokunbi, Moses, Linden, David Edmund Johannes, Habes, Isabelle, Johnston, Stephen and Ihssen, Niklas 2014. Real-time fMRI brain-computer interface: development of a "motivational feedback" subsystem for the regulation of visual cue reactivity. Frontiers in Behavioral Neuroscience 8 , 392. 10.3389/fnbeh.2014.00392
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Sokunbi, Moses O. 2014. Sample entropy reveals high discriminative power between young and elderly adults in short fMRI data sets. Frontiers in Neuroinformatics 8 , 69. 10.3389/fninf.2014.00069

Sokunbi, Moses, Gradin, Victoria B., Waiter, Gordon D., Cameron, George G., Ahearn, Trevor S., Murray, Alison D., Steele, Douglas J. and Staff, Roger T. 2014. Nonlinear complexity analysis of brain fMRI signals in schizophrenia. PLoS ONE 9 (5) , e95146. 10.1371/journal.pone.0095146
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Sokunbi, Moses, Fung, Wilson, Sawlani, Vijay, Choppin, Sabine, Linden, David E. J. and Thome, Johannee 2013. Resting state fMRI entropy probes complexity of brain activity in adults with ADHD. Psychiatry Research: Neuroimaging 214 (3) , pp. 341-348. 10.1016/j.pscychresns.2013.10.001

Sokunbi, Moses, Staff, R. T., Waiter, G. D., Ahearn, T. S., Fox, H. C., Deary, I. J., Starr, J. M., Whalley, L. J. and Murray, A. D. 2011. Inter-individual differences in fMRI entropy measurements in old age. IEEE Transactions on Biomedical Engineering 58 (11) , pp. 3206-3214. 10.1109/TBME.2011.2164793

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