Related Experiment Videos
Annotation: the cognitive neuroscience of face recognition: implications for developmental disorders
1University College London, UK. kelgar@ich.ucl.ac.uk
Summary
Face identification uses general brain systems for vision, memory, and learning. These systems involve two streams: medial for learning and salience, and lateral for visual properties and identity.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Vision Science
Background:
- Face recognition is often viewed as a specialized, encapsulated cognitive module.
- Emerging evidence suggests face identification involves broader neural systems.
Purpose of the Study:
- To propose a two-route model for face identification.
- To explore the role of general-purpose cortical systems in face recognition.
- To examine the relevance of developmental syndromes to this model.
Main Methods:
- Theoretical modeling of cortical streams (medial and lateral).
- Consideration of magnocellular vision's role in the lateral stream.
- Analysis of face recognition anomalies in Autism, Williams syndrome, and Turner syndrome.
Main Results:
- Face identification relies on general cortical systems, not just a modular function.
- A two-route model involving medial (learning/salience) and lateral (visual representation) streams is proposed.
- Lateral stream function may depend on magnocellular visual development.
Conclusions:
- Face recognition is supported by general high-level vision, memory, and learning systems.
- The proposed two-route model offers a framework for understanding face processing and its anomalies.
- Developmental syndromes provide insights into the neural basis of face recognition.