Top-down signals are needed for object completion in the human visual cortex

Kreiman, Gabriel; Buia, Calin; Singer, Jed; Madsen, Joseph R.

doi:10.1167/11.11.854

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B Tolerance To Object Transformations1

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2011

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“…In the particular context of visual recognition, it is not sufficient to show selectivity to object exemplars or object categories; it is critical to consider how well the algorithms extrapolate across different transformations in the image. We have shown that the single trial decoding procedure illustrated here can extrapolate across transformations in object scale and rotation [2], image clutter [15] and object occlusion [20].…”

Section: B Tolerance To Object Transformationsmentioning

confidence: 99%

Decoding ensemble activity from neurophysiological recordings in the temporal cortex

Kreiman

2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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We study subjects with pharmacologically intractable epilepsy who undergo semi-chronic implantation of electrodes for clinical purposes. We record physiological activity from tens to more than one hundred electrodes implanted in different parts of neocortex. These recordings provide higher spatial and temporal resolution than non-invasive measures of human brain activity. Here we discuss our efforts to develop hardware and algorithms to interact with the human brain by decoding ensemble activity in single trials. We focus our discussion on decoding visual information during a variety of visual object recognition tasks but the same technologies and algorithms can also be directly applied to other cognitive phenomena.

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Section: B Tolerance To Object Transformationsmentioning

confidence: 99%