Aslan S. Dizaji

This paper shows that introducing variability in training improves generalization in visual perceptual learning by promoting invariant representations, without reducing task performance.

TraceMontage merges multiple neuronal traces into a single result, improving accuracy and speed for densely labeled samples.

The paper develops nTracer, an ImageJ plugin for reconstructing neuronal morphology in densely labeled mouse brains using multispectral tracing.

The paper investigates the relationship between resting-state fMRI signals and intelligence, finding that signals from intelligent individuals occupy a larger functional space with more separated components.

This paper introduces a nonparametric change-point detection method for single-trial analysis of simultaneous EEG-fMRI data from auditory/visual oddball tasks, revealing brain activity patterns related to attentional processes.