Kyoung Whan Choe

Neural evidence for boundary updating as the source of the repulsive bias in classification

The paper investigates the neural mechanisms behind repulsive bias in binary classification, finding that boundary-updating in specific brain regions, not sensory-adaptation, drives this bias.

Improvements in task performance after practice are associated with scale-free dynamics of brain activity

The paper finds that higher scale-free dynamics in brain activity, measured by the Hurst exponent, correlate with greater practice-related performance improvements across three different tasks.

Scale Invariance in fNIRS as a Measurement of Cognitive Load

This study tests if scale invariance measured by the Hurst exponent can quantify cognitive load using fNIRS during a working memory task, showing higher H during easier tasks.

Load-Dependent Relationships between Frontal fNIRS Activity and Performance: A Data-Driven PLS Approach

This study uses fNIRS and PLS analysis to show how working memory load affects brain activity and performance, revealing task-specific relationships between hemodynamics and accuracy.

A Normative Bayesian Model of Classification for Agents with Bounded Memory

The paper develops a Bayesian model for classification with bounded memory, showing it aligns with human behavior and neural activity in perceptual tasks.