Hamza Abdelhedi

The paper uses task-optimized neural networks to compare how face and object recognition models align with neural activity in visual cortex during face familiarity processing.

The paper investigates how intrinsic neural oscillations relate to verbal learning performance and encoding strategies using resting-state magnetoencephalography and the California Verbal Learning Test.

This paper evaluates the impact of class imbalance on ML performance in neuroscience, showing that Accuracy is misleading and recommending Balanced Accuracy and Random Forest with stratified cross-validation.