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Updated: Apr 10, 2026

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
Published on: October 30, 2018
Two neural pathways of face processing: A critical evaluation of current models
Michal Bernstein1, Galit Yovel2
1Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv 69978, Israel.
This study updates face processing models by proposing a form-motion division between ventral (fusiform face area) and dorsal (superior temporal sulcus) streams, integrating static and dynamic face cues.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychology
Background:
- The dominant model of face processing divides labor between the fusiform face area (FFA) for identity and posterior superior temporal sulcus (pSTS) for expression.
- Previous models suggest the pSTS processes identity from dynamic faces.
Purpose of the Study:
- To evaluate existing face processing models using recent neuroimaging data.
- To propose an updated model integrating static and dynamic face processing.
Main Methods:
- Review of neuroimaging studies on static and dynamic face processing.
- Analysis of studies examining identity and expression processing.
Main Results:
- Evidence supports a functional division based on form (ventral stream/FFA) and motion (dorsal stream/STS).
- The updated model integrates processing of invariant (identity) and changeable (expression) facial aspects.
Conclusions:
- A primary functional division between form and motion processing is proposed.
- Future research should focus on dynamic face processing to further refine models.
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