Author: Dr. David Lowemann

Exploring Early Number Abilities With Multimodal Transformers

Abstract Early number skills represent critical milestones in children’s cognitive development and are shaped over years of interacting with quantities and numerals in various contexts. Several connectionist computational models have attempted to emulate how certain number concepts may be learned, represented, and processed in the brain. However, these models mainly used highly simplified inputs and […]

Published on September 3, 2024

Understanding the Role of Eye Movement Pattern and Consistency in Isolated English Word Reading Through Hidden Markov Modeling

Abstract In isolated English word reading, readers have the optimal performance when their initial eye fixation is directed to the area between the beginning and word center, that is, the optimal viewing position (OVP). Thus, how well readers voluntarily direct eye gaze to this OVP during isolated word reading may be associated with reading performance. […]

Published on September 3, 2024

Neural Dynamic Principles for an Intentional Embodied Agent

Abstract How situated embodied agents may achieve goals using knowledge is the classical question of natural and artificial intelligence. How organisms achieve this with their nervous systems is a central challenge for a neural theory of embodied cognition. To structure this challenge, we borrow terms from Searle’s analysis of intentionality in its two directions of […]

Published on September 3, 2024