Abstract
In a comprehensive series of experiments that combine neural modeling, behavioral data, and fMRI, Jiang et al. (this issue of Neuron) advance a general object and face classification model, based on a feedforward shape-detector architecture. The model accounts for configural face processing as well as for shape-based fMRI activation in the fusiform face area (FFA).
Original language | English |
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Pages (from-to) | 7-9 |
Number of pages | 3 |
Journal | Neuron |
Volume | 50 |
Issue number | 1 |
DOIs | |
State | Published - 6 Apr 2006 |
ASJC Scopus subject areas
- Neuroscience (all)