@article{
 title = {Robust Selectivity to Two-Object Images in Human Visual Cortex},
 type = {article},
 year = {2010},
 identifiers = {[object Object]},
 keywords = {SYSNEURO},
 volume = {20},
 id = {8d17d764-beb7-3754-bb4f-0298623078ac},
 created = {2016-09-13T17:50:10.000Z},
 file_attached = {false},
 profile_id = {bb892394-9846-3270-95b1-4c802ef89f8b},
 last_modified = {2016-09-13T17:50:10.000Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 abstract = {We can recognize objects in complex images in a fraction of a second [1-3]. Neuronal responses in macaque areas V4 and inferior temporal cortex [4-15] to preferred stimuli are typically suppressed by the addition of other objects within the receptive field (see, however, [16, 17]). How can this suppression be reconciled with rapid visual recognition in complex scenes? Certain "special categories" could be unaffected by other objects [18], but this leaves the problem unsolved for other categories. Another possibility is that serial attentional shifts help ameliorate the problem of distractor objects [19-21]. Yet, psychophysical studies [1-3], scalp recordings [1], and neurophysiological recordings [14-16, 22-24] suggest that the initial sweep of visual processing contains a significant amount of information. We recorded intracranial field potentials in human visual cortex during presentation of flashes of two-object images. Visual selectivity from temporal cortex during the initial ∼200 ms was largely robust to the presence of other objects. We could train linear decoders on the responses to isolated objects and decode information in two-object images. These observations are compatible with parallel, hierarchical, and feed-forward theories of rapid visual recognition [25] and may provide a neural substrate to begin to unravel rapid recognition in natural scenes. © 2010 Elsevier Ltd. All rights reserved.},
 bibtype = {article},
 author = {Agam, Y. and Liu, H. and Papanastassiou, A. and Buia, C. and Golby, A.J. and Madsen, J.R. and Kreiman, G.},
 journal = {Current Biology},
 number = {9}
}

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We could train linear decoders on the responses to isolated objects and decode information in two-object images. These observations are compatible with parallel, hierarchical, and feed-forward theories of rapid visual recognition [25] and may provide a neural substrate to begin to unravel rapid recognition in natural scenes. © 2010 Elsevier Ltd. All rights reserved.","bibtype":"article","author":"Agam, Y. and Liu, H. and Papanastassiou, A. and Buia, C. and Golby, A.J. and Madsen, J.R. and Kreiman, G.","journal":"Current Biology","number":"9","bibtex":"@article{\n title = {Robust Selectivity to Two-Object Images in Human Visual Cortex},\n type = {article},\n year = {2010},\n identifiers = {[object Object]},\n keywords = {SYSNEURO},\n volume = {20},\n id = {8d17d764-beb7-3754-bb4f-0298623078ac},\n created = {2016-09-13T17:50:10.000Z},\n file_attached = {false},\n profile_id = {bb892394-9846-3270-95b1-4c802ef89f8b},\n last_modified = {2016-09-13T17:50:10.000Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n abstract = {We can recognize objects in complex images in a fraction of a second [1-3]. 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