A Computational Framework for Developmental Psychology
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.
@misc{farzulla2025traumatrainingdata,
author = {Farzulla, Murad},
title = {Training Data and the Maladaptive Mind},
year = {2025},
howpublished = {Farzulla Research Discussion Paper DP-2501},
doi = {10.21203/rs.3.rs-8634152/v1},
url = {https://farzulla.org/papers/trauma-training-data}
}