Neural control: Closed-loop human brain reading

Current Biology

Volumn 21, Issue 2, 2011, Pages

  Földiák, Peter ^a  

^a UNIVERSITY OF ST ANDREWS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79251518063     PISSN: 09609822     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cub.2010.12.023     Document Type: Short Survey

References (19)

1. R. Quian Quiroga, L. Reddy, G. Kreiman, C. Koch, and I. Fried Invariant visual representation by single neurons in the human brain Nature 435 2005 1102 1107
2. M. Cerf, N. Thiruvengadam, F. Mormann, A. Krasov, R. Quian Quiroga, and C. Koch On-line, voluntary control of human temporal lobe neurons Nature 467 2010 1104 1108
3. J.H. Reynolds, and L. Chelazzi Attentional modulation of visual processing Annu. Rev. Neurosci. 27 2004 611 647
4. D.B. Walther, and C. Koch Attention in hierarchical models of object recognition Progr. Brain Res. 165 2007 57 78
5. D.L. Ringach, M.J. Hawken, and R. Shapley Receptive field structure of neurons in monkey primary visual cortex revealed by stimulation with natural image sequences J. Vis. 2 2002 12 24
6. O. Schwartz, J.W. Pillow, N.C. Rust, and E.P. Simoncelli Spike-triggered neural characterization J. Vis. 6 2006 484 507
7. M.C.K. Wu, S.V. David, and J.L. Gallant Complete functional characterization of sensory neurons by system identification Annu. Rev. Neurosci. 29 2006 477 505
8. P. Földiák, D.K. Xiao, C. Keysers, R. Edwards, and D.I. Perrett Rapid serial visual presentation for the determination of neural selectivity in area STSa Prog. Brain Res. 144 2004 107 116
9. P. Földiák Stimulus optimisation in primary visual cortex Neurocomputing 38-40 2001 1217 1222
10. F. Edin, C. Machens, H. Schutze, and A. Herz Searching for optimal sensory signals: Iterative stimulus reconstruction in closed-loop experiments J. Comp. Neurosci. 17 2004 47 56
11. Sahani, M. (1997). Interactively exploring a neural code by active learning. Neural Information and Coding Workshop, Snowbird, Utah. http://bit.ly/fmdhFX
12. J. Benda, T. Gollisch, C.K. Machens, and A.V.M. Herz From response to stimulus: adaptive sampling in sensory physiology Curr. Opin. Neurobiol. 17 2007 430 436
13. J. Lewi, R. Butera, and L. Paninski Sequential optimal design of neurophysiology experiments Neural Comput. 21 2009 619 687
14. K.N. O'Connor, C.I. Petkov, and M.L. Sutter Adaptive stimulus optimization for auditory cortical neurons J. Neurophys. 94 2005 4051 4067
15. S.R. Lehky, T.J. Sejnowski, and R. Desimone Predicting responses of nonlinear neurons in monkey striate cortex to complex patterns J. Neurosci. 12 1992 3568 3581
16. M.W. Oram, P. Földiák, D.I. Perrett, and F. Sengpiel The 'Ideal Homunculus': Decoding neural population signals Trends Neurosci. 21 1998 259 265
17. S. Koyama, S.M. Chase, A.S. Whitford, M. Velliste, A.B. Schwartz, and R.E. Kass Comparison of brain-computer interface decoding algorithms in open-loop and closed-loop control J. Comp. Neurosci. 29 2010 73 87
18. Y. Miyawaki, H. Uchida, O. Yamashita, O. Sato, Y. Morito, H.C. Tanabe, N. Sadato, and Y. Kamitani Visual image reconstruction from human brain activity using a combination of multiscale local image decoders Neuron 60 2008 915 929
19. T. Naselaris, R.J. Prenger, K.N. Kay, M. Oliver, and J.L. Gallant Bayesian reconstruction of natural images from human brain activity Neuron 63 2009 902 915