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1 November 2025 Preprint Computational Cognition

Training Data and the Maladaptive Mind

A Computational Framework for Developmental Psychology

Murad Farzulla

Abstract

Childhood trauma reframed through machine learning training data quality: extreme penalties cause gradient cascades (1,247× amplification, p<0.001), noisy signals produce behavioral instability, absent positive examples create emotional recognition deficits (alexithymia). PyTorch experiments validate computational mechanisms.

Suggested Citation

Murad Farzulla (2025). Training Data and the Maladaptive Mind. Dissensus AI Discussion Paper DP-2501. DOI: 10.21203/rs.3.rs-8634152/v1

Methodology

PyTorch simulation Gradient analysis Catastrophic forgetting

Topics

Philosophy AI Safety Psychology