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Updated: Jun 23, 2026
09:42
Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
Published on: May 12, 2019
Timing, timing, timing: fast decoding of object information from intracranial field potentials in human visual
Hesheng Liu1, Yigal Agam, Joseph R Madsen
1Department of Neuroscience and Ophthalmology, Children's Hospital Boston, Harvard Medical School, Boston, MA 02115, USA.
Neuron
|May 5, 2009
Summary
Visual recognition is fast, achieving object category decoding from human visual cortex in single trials as early as 100 ms poststimulus. This rapid decoding, robust to transformations, supports feedforward models of human vision.
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Vision
Background:
- Visual recognition demands high selectivity and robustness to transformations within milliseconds.
- Debates exist on whether neuronal circuits use recurrent feedback connections.
- Neurophysiological response timing is crucial for differentiating bottom-up and top-down theories.
Purpose of the Study:
- To quantify visual information processing speed and robustness in the human visual cortex.
- To investigate the temporal dynamics of object recognition at millisecond resolution.
- To provide constraints for computational models of human vision.
Main Methods:
- Utilized intracranial field potentials from 912 electrodes in 11 human subjects.
- Analyzed data at millisecond resolution to decode object category information.
- Assessed decoding performance against object transformations like depth rotation and scale changes.
Main Results:
- Object category information was decoded from human visual cortex in single trials as early as 100 ms poststimulus.
- Decoding performance demonstrated robustness to depth rotation and scale changes.
- Physiological activity in the temporal lobe was found to account for key visual recognition properties.
Conclusions:
- Fast, single-trial decoding of visual information supports feedforward theories of recognition.
- The findings provide strong constraints for developing computational models of human vision.
- Temporal lobe activity plays a significant role in rapid and robust visual recognition.
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