Michael Kahana

Multivariate stochastic volatility modeling of neural data

Ethan A Solomon, Tung D Phan, Jessica A Wachter, 2018, bioRxiv.

Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings

Akshay Arora, Bradley Lega, Jui-Jui Lin, 2018, Journal of neural engineering.

Unpacking Intuition: A Conjecture

Michael Kahana, Martin E P Seligman, M. Seligman, 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.

When Do Objects Become Landmarks? A VR Study of the Effect of Task Relevance on Spatial Memory

Suzanna Becker, Michael Kahana, Patrick Byrne, 2012, PloS one.

Feed-forward, feed-back, and distributed feature representation during visual word recognition revealed by human intracranial neurophysiology

Bradley C. Lega, Gregory A. Worrell, Nima Mesgarani, 2020 .

Contrasting roles of neural firing rate and local field potentials in human memory

Itzhak Fried, Indre V. Viskontas, Michael Kahana, 2007, Hippocampus.