The neural substrates of face processing models: A review

doi:10.1080/02643299308253471

Paper

The neural substrates of face processing models: A review

Published Nov 1, 1993 · M. Tovée, E. Cohen-tovée

Cognitive Neuropsychology

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39

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2

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Abstract

Abstract Prosopagnosia is an impairment of the ability to process visual information derived from faces. A number of models of face processing have been proposed, using methods and models developed in cognitive psychology, to explain the different forms of prosopagnosia. The proposed subcomponents of these models are based almost entirely on behavioural data from prosopagnosic human subjects. This paper reviews the physiological data on face processing, primarily obtained from single-cell recording from neurons in nonhuman primates, and relates this to a model of cognitive face processing. This allows localisation of the different processing modules in functional structures within the brain of higher primates, including man.

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Key takeawayThis paper reviews physiological data on face processing in nonhuman primates, allowing for the localization of processing modules in functional structures within the brains of higher primates, including man.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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Paper

The neural substrates of face processing models: A review

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References

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Sparse population coding in the inferotemporal cortex of monkeys reveals that complex stimuli like faces are represented through physical properties and familiarity aspects, with sufficient information in small populations of neurons to identify specific faces.

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The ventro-medial region of the right hemisphere plays a crucial role in face recognition, while object recognition involves the left occipito-temporal cortex.

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Face and object processing are distinct, with different brain activation patterns depending on the task and a clear dissociation of neural substrates.

The role of the 'face-cell' area in the discrimination and recognition of faces by monkeys.

The face-cell area in macaque monkeys plays a crucial role in face discrimination and recognition, with its removal impairing certain tasks but not specific for faces.

Citations

Combining electrodermal activity analysis and dynamic causal modeling to investigate the visual-odor multimodal integration during face perception

Unpleasant odors enhance the interpretation of emotional expressions and mental states, while faces eliciting sympathetic arousal prioritize identity processing.

Multimodal Integration of Olfactory and Visual Processing through DCM analysis: Contextual Modulation of Facial Perception

Negative odors enhance emotional expression interpretation, while faces enhancing sympathetic arousal prioritize identity processing.

Does automatic human face categorization depend on head orientation?

Human face categorization is as robust for 34 side faces as for full-front faces, but full-front views provide a slightly earlier processing-time advantage compared to rotated face views.

It matters to me if you are human - Examining categorical perception in human and nonhuman agents

Human-like agents evoke more cognitive conflict and category boundaries shift towards the human endpoint compared to nonhuman agents, suggesting a quantitatively different categorization process.

What can we learn about human individual face recognition from experimental studies in monkeys?

The rhesus monkey brain is an informative non-human model for studying social behavior and visual cognition, but it does not provide an adequate model for human individual face recognition.

Capuchins recognize familiar faces

Capuchin monkeys are better able to recognize familiar faces, as observed in humans and apes, suggesting a similar face-processing mechanism in nonhuman primates.

Triphasic Dynamics of Stimulus-Dependent Information Flow between Single Neurons in Macaque Inferior Temporal Cortex

Information flow in the macaque inferior temporal cortex exhibits complex forward-and-back dynamics, potentially implementing multistage processing in visual object recognition.

Component structure of individual differences in true and false recognition of faces.

Frontal and occipitotemporal contributions to face recognition memory are distinct from individual differences in behavioral performance among healthy young adults.