Tamizharasan Kanagamani

The paper presents a deep network model of hippocampal memory functions, simulating normal and Alzheimer's disease conditions by altering network damage levels and observing recall behavior.

The paper proposes a regularization-based model to prevent catastrophic forgetting in deep networks by constraining parameter updates to directions orthogonal to previous task gradients, showing improved performance on standard datasets.