Near-real-time feature-selective modulations in human cortex

Current Biology

Volumn 23, Issue 6, 2013, Pages 515-522

  Garcia, Javier O ^a   Srinivasan, Ramesh ^c   Serences, John T ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

OXYGEN;

ARTICLE; ATTENTION; BIOLOGICAL MODEL; BLOOD; BRAIN CORTEX; ELECTROENCEPHALOGRAPHY; EVALUATION; EVOKED VISUAL RESPONSE; FEMALE; HUMAN; MALE; METHODOLOGY; ORIENTATION; PHOTOSTIMULATION; PHYSIOLOGY; REACTION TIME; VISION;

ATTENTION; CEREBRAL CORTEX; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; FEMALE; HUMANS; MALE; MODELS, NEUROLOGICAL; ORIENTATION; OXYGEN; PHOTIC STIMULATION; REACTION TIME; VISUAL PERCEPTION;

ANIMALIA;

EID: 84875257782     PISSN: 09609822     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cub.2013.02.013     Document Type: Article

References (43)

1. Y. Kamitani, and F. Tong Decoding the visual and subjective contents of the human brain Nat. Neurosci. 8 2005 679 685
2. G.J. Brouwer, and D.J. Heeger Cross-orientation suppression in human visual cortex J. Neurophysiol. 106 2011 2108 2119
3. M. Riesenhuber, and T. Poggio Hierarchical models of object recognition in cortex Nat. Neurosci. 2 1999 1019 1025
4. E. Kobatake, and K. Tanaka Neuronal selectivities to complex object features in the ventral visual pathway of the macaque cerebral cortex J. Neurophysiol. 71 1994 856 867
5. K. Grill-Spector, and R. Malach The human visual cortex Annu. Rev. Neurosci. 27 2004 649 677
6. J.J. DiCarlo, D. Zoccolan, and N.C. Rust How does the brain solve visual object recognition? Neuron 73 2012 415 434
7. W. Zhang, and S.J. Luck Feature-based attention modulates feedforward visual processing Nat. Neurosci. 12 2009 24 25
8. M.A. Schoenfeld, J.M. Hopf, A. Martinez, H.M. Mai, C. Sattler, A. Gasde, H.J. Heinze, and S.A. Hillyard Spatio-temporal analysis of feature-based attention Cereb. Cortex 17 2007 2468 2477
9. S.K. Andersen, and M.M. Müller Behavioral performance follows the time course of neural facilitation and suppression during cued shifts of feature-selective attention Proc. Natl. Acad. Sci. USA 107 2010 13878 13882
10. T. Naselaris, K.N. Kay, S. Nishimoto, and J.L. Gallant Encoding and decoding in fMRI Neuroimage 56 2011 400 410
11. F. Tong, and M.S. Pratte Decoding patterns of human brain activity Annu. Rev. Psychol. 63 2012 483 509
12. J.T. Serences, and S. Saproo Computational advances towards linking BOLD and behavior Neuropsychologia 50 2012 435 446
13. J.D. Haynes, and G. Rees Decoding mental states from brain activity in humans Nat. Rev. Neurosci. 7 2006 523 534
14. Y. Kamitani, and F. Tong Decoding seen and attended motion directions from activity in the human visual cortex Curr. Biol. 16 2006 1096 1102
15. J.D. Haynes, and G. Rees Predicting the orientation of invisible stimuli from activity in human primary visual cortex Nat. Neurosci. 8 2005 686 691
16. W. Vanduffel, R.B. Tootell, A.A. Schoups, and G.A. Orban The organization of orientation selectivity throughout macaque visual cortex Cereb. Cortex 12 2002 647 662
17. J. Freeman, G.J. Brouwer, D.J. Heeger, and E.P. Merriam Orientation decoding depends on maps, not columns J. Neurosci. 31 2011 4792 4804
18. K.A. Norman, S.M. Polyn, G.J. Detre, and J.V. Haxby Beyond mind-reading: multi-voxel pattern analysis of fMRI data Trends Cogn. Sci. 10 2006 424 430
19. D.H. Hubel, and T.N. Wiesel Shape and arrangement of columns in cat's striate cortex J. Physiol. 165 1963 559 568
20. G.G. Blasdel, and G. Salama Voltage-sensitive dyes reveal a modular organization in monkey striate cortex Nature 321 1986 579 585
21. Y. Miyawaki, H. Uchida, O. Yamashita, M.A. 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
22. G.J. Brouwer, and D.J. Heeger Decoding and reconstructing color from responses in human visual cortex J. Neurosci. 29 2009 13992 14003
23. K.N. Kay, T. Naselaris, R.J. Prenger, and J.L. Gallant Identifying natural images from human brain activity Nature 452 2008 352 355
24. M. Scolari, A. Byers, and J.T. Serences Optimal deployment of attentional gain during fine discriminations J. Neurosci. 32 2012 7723 7733
25. D. Regan Human Brain Electrophysiology: Evoked Potentials and Evoked Magnetic Fields in Science and Medicine 1989 Elsevier New York
26. T. Ho, S. Brown, L. van Maanen, B.U. Forstmann, E.J. Wagenmakers, and J.T. Serences The optimality of sensory processing during the speed-accuracy tradeoff J. Neurosci. 32 2012 7992 8003
27. M. Scolari, and J.T. Serences Adaptive allocation of attentional gain J. Neurosci. 29 2009 11933 11942
28. L. Busse, S. Katzner, and S. Treue Temporal dynamics of neuronal modulation during exogenous and endogenous shifts of visual attention in macaque area MT Proc. Natl. Acad. Sci. USA 105 2008 16380 16385
29. G. Mirabella, G. Bertini, I. Samengo, B.E. Kilavik, D. Frilli, C. Della Libera, and L. Chelazzi Neurons in area V4 of the macaque translate attended visual features into behaviorally relevant categories Neuron 54 2007 303 318
30. X. Chen, K.P. Hoffmann, T.D. Albright, and A. Thiele Effect of feature-selective attention on neuronal responses in macaque area MT J. Neurophysiol. 107 2012 1530 1543
31. Y. Kaneoke, T. Urakawa, and R. Kakigi Visual motion direction is represented in population-level neural response as measured by magnetoencephalography Neuroscience 160 2009 676 687
32. D. Regan, and M.P. Regan Nonlinearity in human visual responses to two-dimensional patterns, and a limitation of Fourier methods Vision Res. 27 1987 2181 2183
33. A. Pouget, P. Dayan, and R.S. Zemel Inference and computation with population codes Annu. Rev. Neurosci. 26 2003 381 410
34. C.J. McAdams, and J.H. Maunsell Effects of attention on orientation-tuning functions of single neurons in macaque cortical area V4 J. Neurosci. 19 1999 431 441
35. S. Treue, and J.C. Martínez Trujillo Feature-based attention influences motion processing gain in macaque visual cortex Nature 399 1999 575 579
36. S. Saproo, and J.T. Serences Spatial attention improves the quality of population codes in human visual cortex J. Neurophysiol. 104 2010 885 895
37. G.T. Buracas, and G.M. Boynton The effect of spatial attention on contrast response functions in human visual cortex J. Neurosci. 27 2007 93 97
38. F. Pestilli, M. Carrasco, D.J. Heeger, and J.L. Gardner Attentional enhancement via selection and pooling of early sensory responses in human visual cortex Neuron 72 2011 832 846
39. M. Breakspear, S. Heitmann, and A. Daffertshofer Generative models of cortical oscillations: neurobiological implications of the kuramoto model Front Hum Neurosci 4 2010 190
40. D.A. Bridwell, and R. Srinivasan Distinct attention networks for feature enhancement and suppression in vision Psychol. Sci. 23 2012 1151 1158
41. J.D. Swisher, J.C. Gatenby, J.C. Gore, B.A. Wolfe, C.H. Moon, S.G. Kim, and F. Tong Multiscale pattern analysis of orientation-selective activity in the primary visual cortex J. Neurosci. 30 2010 325 330
42. F.B. Vialatte, M. Maurice, J. Dauwels, and A. Cichocki Steady-state visually evoked potentials: focus on essential paradigms and future perspectives Prog. Neurobiol. 90 2010 418 438
43. P.L. Nunez, and B.A. Cutillo Neocortical Dynamics and Human EEG Rhythms 1995 Oxford University Press New York