Department or Program

Neuroscience

Abstract

When we are presented with everyday objects, we inherently and effortlessly sort them into different categories. Nonetheless, the mechanisms by which this process occurs are not fully understood. There are three main tiers of categories into which the taxonomic tree can be separated: superordinate (e.g. mammal), basic (e.g. cat) and subordinate (e.g. Siamese cat). It is widely accepted that we most readily label objects at the basic level (Rosch et al., 1976). However, would this change if we were forced to attend to the features of a subordinate category? This study investigates the flexibility of assigning objects to the basic and subordinate categories as well as the neural time course of object classification. While recording EEG, participants indicated whether two successive images belong to either the same basic or subordinate category. They performed these tasks in two separate sessions alternating the taxonomic level. The EEG data obtained was analyzed through representational dissimilarity matrices (RDMs) creating a method of comparison for the neural responses of the electrodes at each time point to determine which category levels are most similar in terms of brain activity. We also used a multivariate regression approach to assess the magnitude of the relationship between neural data and the taxonomic level. We observed that the earliest neural responses seem optimized for basic-level categorization even when participants performed a different task. Therefore, these results emphasize the primacy of the basic level and provide further evidence for the automatic nature of object processing.

Level of Access

Open Access

First Advisor

Greene, Michelle

Date of Graduation

5-2020

Degree Name

Bachelor of Arts

Number of Pages

54

Components of Thesis

1 pdf

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