ArticleScientific reports2016
A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 36 citations in OpenAlex.
- Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks.eLife · 2024Article
- Behavioral signatures of face perception emerge in deep neural networks optimized for face recognition.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Deepfake detection by human crowds, machines, and machine-informed crowds.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Comparison of neuronal responses in primate inferior-temporal cortex and feed-forward deep neural network model with regard to information processing of faces.Journal of computational neuroscience · 2021Article
- A temporal hierarchical feedforward model explains both the time and the accuracy of object recognition.Scientific reports · 2021Article
- A Recurrent Temporal Model for Semantic Levels Categorization Based on Human Visual System.Computational intelligence and neuroscience · 2021Article
- Convolutional neural networks explain tuning properties of anterior, but not middle, face-processing areas in macaque inferotemporal cortex.Communications biology · 2020Article
- The neural mechanisms of face processing: cells, areas, networks, and models.Current opinion in neurobiology · 2020Review
- A mixture of sparse coding models explaining properties of face neurons related to holistic and parts-based processing.PLoS computational biology · 2017Article
- Rapid face adaptation distributes representation in inferior-temporal cortex across time and neuronal dimensions.Scientific reports · 2017Article
- View-Tolerant Face Recognition and Hebbian Learning Imply Mirror-Symmetric Neural Tuning to Head Orientation.Current biology : CB · 2017Article
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Converging reports indicate that face images are processed through specialized neural networks in the brain -i.e. face patches in monkeys and the fusiform face area (FFA) in humans. These studies were designed to find out how faces are processed in visual system compared to other objects. Yet, the underlying mechanism of face processing is not completely revealed. Here, we show that a hierarchical computational model, inspired by electrophysiological evidence on face processing in primates, is able to generate representational properties similar to those observed in monkey face patches (posterior, middle and anterior patches). Since the most important goal of sensory neuroscience is linking the neural responses with behavioral outputs, we test whether the proposed model, which is designed to account for neural responses in monkey face patches, is also able to predict well-documented behavioral face phenomena observed in humans. We show that the proposed model satisfies several cognitive face effects such as: composite face effect and the idea of canonical face views. Our model provides insights about the underlying computations that transfer visual information from posterior to anterior face patches.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.