Genuine learning biases persist after accounting for temporally decreasing learning rates: Insight from fitting six datasets

Key Points

• Genuine learning biases remain significant even when adjusting for variable learning rates.
• Analysis of six datasets reveals that learning biases don't fade over time despite weaker learning signals.
• Approach involved fitting multiple datasets to capture dynamics of learning biases and rates accurately.
• Findings suggest that existing models may overlook important aspects of how learning biases operate.