Emergence of number sense through the integration of multimodal information: developmental learning insights from neural network models.

ABSTRACT:

Introduction

Associating multimodal information is essential for human cognitive abilities including mathematical skills. Multimodal learning has also attracted attention in the field of machine learning, and it has been suggested that the acquisition of better latent representation plays an important role in enhancing task performance. This study aimed to explore the impact of multimodal learning on representation, and to understand the relationship between multimodal representation and the development of mathematical skills.

Methods

We employed a multimodal deep neural network as the computational model for multimodal associations in the brain. We compared the representations of numerical information, that is, handwritten digits and images containing a variable number of g

SUBMITTER: Noda K 

PROVIDER: S-EPMC10828047 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature