Spatiotemporal Dynamics Underlying Object Completion in Human Ventral Visual Cortex

Abstract

Natural vision often involves recognizing objects from partial information. Recognition of objects from parts presents a significant challenge for theories of vision because it requires spatial integration and extrapolation from prior knowledge. Here we recorded intracranial field potentials of 113 visually selective electrodes from epilepsy patients in response to whole and partial objects. Responses along the ventral visual stream, particularly the inferior occipital and fusiform gyri, remained selective despite showing only 9%-25% of the object areas. However, these visually selective signals emerged ∼100 ms later for partial versus whole objects. These processing delays were particularly pronounced in higher visual areas within the ventral stream. This latency difference persisted when controlling for changes in contrast, signal amplitude, and the strength of selectivity. These results argue against a purely feedforward explanation of recognition from partial information, and provide spatiotemporal constraints on theories of object recognition that involve recurrent processing.

DOI: 10.1016/j.neuron.2014.06.017

Extracted Key Phrases

7 Figures and Tables

01020201520162017
Citations per Year

Citation Velocity: 8

Averaging 8 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@article{Tang2014SpatiotemporalDU, title={Spatiotemporal Dynamics Underlying Object Completion in Human Ventral Visual Cortex}, author={Hanlin Tang and Calin I. Buia and Radhika Madhavan and Nathan E. Crone and Joseph R. Madsen and William S. Anderson and Gabriel Kreiman}, journal={Neuron}, year={2014}, volume={83}, pages={736-748} }