Michaël Defferrard

An interpretable deep learning framework for classifying neuronal morphologies using topology and graph neural networks

Abstract Neuronal shape determines how neurons process and integrate information, yet a consistent and objective classification of neuronal morphologies remains elusive. Current approaches rely heavily on subjective expert views or on predefined features, limiting reproducibility...