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Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
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Published on: August 1, 2018

Robust selectivity to two-object images in human visual cortex.

Yigal Agam1, Hesheng Liu, Alexander Papanastassiou

  • 1Department of Ophthalmology and Kirby Neurobiology Center, Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.

Current Biology : CB
|April 27, 2010
PubMed
Summary
This summary is machine-generated.

Rapid visual recognition in complex scenes is possible because the brain

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computer Vision

Background:

  • Object recognition in complex scenes is rapid, yet neuronal responses are often suppressed by distractors.
  • This suppression poses a challenge to understanding how the brain achieves fast visual recognition.

Purpose of the Study:

  • To investigate whether visual cortex responses remain robust to distractors during rapid object recognition.
  • To explore the neural mechanisms underlying fast visual processing in complex natural scenes.

Main Methods:

  • Recorded intracranial field potentials in human visual cortex during presentation of two-object images.
  • Trained linear decoders on responses to isolated objects to decode information in two-object images.

Main Results:

  • Visual selectivity in temporal cortex was largely unaffected by the presence of other objects within the initial 200 ms.
  • Information from isolated objects could be successfully decoded even in the presence of distractors.

Conclusions:

  • The initial visual processing sweep is robust to distractors, supporting rapid object recognition.
  • Findings align with parallel, hierarchical, and feed-forward models of visual recognition.
  • Provides a neural basis for understanding rapid recognition in natural environments.