Abstract

Face recognition is located in the fusiform gyrus, which is also related to other tasks such word recognition. Although these two processes have several similarities, there are remarkable differences that include a vast range of approaches, which results from different groups of participants. This research aims to examine how the word-processing system processes faces at different moments and vice versa. Two experiments were carried out. Experiment 1 allowed us to examine the classical discrimination task, while Experiment 2 allowed us to examine very early moments of discrimination. In the first experiment, 20 Spanish University students volunteered to participate. Secondly, a sample of 60 participants from different nationalities volunteered to take part in Experiment 2. Furthermore, the role of sex and place of origin were considered in Experiment 1. No differences between men and women were found in Experiment 1, nor between conditions. However, Experiment 2 depicted shorter latencies for faces than word names, as well as a higher masked repetition priming effect for word identities and word names preceded by faces. Emerging methodologies in the field might help us to better understand the relationship among these two processes. For this reason, a network analysis approach was carried out, depicting sub-communities of nodes related to face or word name recognition, which were replicated across different groups of participants. Bootstrap inferences are proposed to account for variability in estimating the probabilities in the current samples. This supports that both processes are related to early moments of recognition, and rather than being independent, they might be bilaterally distributed with some expert specializations or preferences.

Highlights

  • Recognizing a celebrity can be considered a challenge by most people

  • The literature on face recognition has long argued that faces are singular to us by studies on the fusiform face area (FFA)

  • Literature has tried to address how the human brain may process information for these specific abilities by hypothesizing that highly specialized areas are involved in object and face recognition [6,36,37] to deal with written language or by hypothesizing that the brain develops specific areas for this task [36,38]

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Summary

Introduction

Regarding the cognitive framework, when this task is done by face or name recognition, many processes are required in a hierarchical way that involves visual and semantic stages [1]. In this way, both face and word recognition are examples of expert visual processing [2]. The literature on face recognition has long argued that faces are singular to us by studies on the fusiform face area (FFA) This is a region of the brain that has been described as one of the most specialized regions for facial recognition in the Mathematics 2020, 8, 699; doi:10.3390/math8050699 www.mdpi.com/journal/mathematics

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