Publications

Works from Uri Maoz

Papini, S., López-Castro, T., Swarbrick, M., Paul, L. K., Stanley, D., Bauer, A., … & Hien, D. A. (2023). Alcohol, cannabis, and nicotine use have distinct associations with COVID-19 pandemic-related experiences: An exploratory Bayesian network analysis across two timepoints. Drug and alcohol dependence, 109929. https://doi.org/10.1016/j.drugalcdep.2023.109929

Triggiani, A.I., Kreiman, G., Lewis, C., Maoz, U., Mele, A., Mudrik, L., Roskies, A.L., Schurger, A., Hallett, M. (2023) What is the Intention to Move and When Does it Occur? Neuroscience & Biobehavioral Reviews. https://doi.org/10.1016/j.neubiorev.2023.105199

Rusch, T., Han, Y., Liang, D., Hopkins, A. R., Lawrence, C. V., Maoz, U., … & COVID-Dynamic Team. (2023). COVID-Dynamic: A large-scale longitudinal study of socioemotional and behavioral change across the pandemic. Scientific Data10(1), 71. https://doi.org/10.1038/s41597-022-01901-6

Gavenas, J., Hieronymi, P., & Maoz, U. (2022). Diverging lay intuitions about concepts related to free will in arbitrary and deliberate decisions. Consciousness and Cognition, 106, 103434. https://doi.org/10.1016/j.concog.2022.103434

Liad Mudrik, Inbal Gur Arie, Yoni Amir, Yarden Shir, Pamela Hieronymi, Uri Maoz, Timothy O’Connor, Aaron Schurger, Manuel Vargas, Tillmann Vierkant, Walter Sinnott-Armstrong, Adina Roskies. (2022). Free will without consciousness?. Trends in Cognitive Scienceshttps://doi.org/10.1016/j.tics.2022.03.005

Liang, D., Frederick, D. A., Lledo, E. E., Rosenfield, N., Berardi, V., Linstead, E., & Maoz, U. (2022). Examining the utility of nonlinear machine learning approaches versus linear regression for predicting body image outcomes: The US Body Project I. Body Image41, 32-45. https://doi.org/10.1016/j.bodyim.2022.01.013

Wong, A., Merholz, G. & Maoz, U. (2021). Characterizing human random-sequence generation in competitive and non-competitive environments using Lempel–Ziv complexity. Sci Rep 11, 20662. https://doi.org/10.1038/s41598-021-99967-6

Omura, Y., Kipke, J.P., Salavatian, S., Afyouni, A.S., Wooten, C., Herkenham, R.F., Maoz, U., Lashgari, E., Dale, E.A., Howard-Quijano, K. and Mahajan, A., 2021. Spinal Anesthesia Reduces Myocardial Ischemia–triggered Ventricular Arrhythmias by Suppressing Spinal Cord Neuronal Network Interactions in Pigs. Anesthesiology, 134(3), pp.405-420. https://doi.org/10.1097/ALN.0000000000003662

Lashgari, E., Ott, J., Connelly, A., Baldi, P., & Maoz, U. (2021). An end-to-end CNN with attentional mechanism applied to raw EEG in a BCI classification task. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ac1ade

Omura, Y., Kipke, J. P., Salavatian, S., Afyouni, A. S., Wooten, C., Herkenham, R. F., … & Mahajan, A. (2021). Spinal Anesthesia Reduces Myocardial Ischemia–triggered Ventricular Arrhythmias by Suppressing Spinal Cord Neuronal Network Interactions in Pigs. Anesthesiology, 134(3), 405-420. https://doi.org/10.1097/ALN.0000000000003662

Chandravadia, N., Liang, D., Schjetnan, A.G.P., Carlson, A., Faraut, M., Chung, J.M., Reed, C.M., Dichter, B., Maoz, U., Kalia, S.K. and Valiante, T.A., 2020. A NWB-based dataset and processing pipeline of human single-neuron activity during a declarative memory task. Scientific Data7(1), p.78. https://doi.org/10.1038/s41597-020-0415-9

Mudrik, L., Levy, D. J., Gavenas, J., & Maoz, U. (2020). Studying volition with actions that matter: Combining the fields of neuroeconomics and the neuroscience of volition. Psychology of Consciousness: Theory, Research, and Practice, 7(1), 67–86. https://doi.org/10.1037/cns0000200

Maoz, U., Yaffe, G., Koch, C., & Mudrik, L. (2019). Neural precursors of deliberate and arbitrary decisions in the study of voluntary action. Elife, 8, e39787. https://doi.org/10.7554/eLife.39787.001

Oh, J., Yun, K., Maoz, U., Kim, T. S., & Chae, J. H. (2019). Identifying depression in the National Health and Nutrition Examination Survey data using a deep learning algorithm. Journal of affective disorders257, 623-631. https://doi.org/10.1016/j.jad.2019.06.034

Hill, B.L., Brown, R., Gabel, E., Rakocz, N., Lee, C., Cannesson, M., Baldi, P., Loohuis, L.O., Johnson, R., Jew, B. and Maoz, U., 2019. An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data. British journal of anaesthesia123(6), pp.877-886. https://doi.org/10.1016/j.bja.2019.07.030

Maoz U and Listead E. (2019) Brain imaging and artificial intelligence, in Raz A. and Thibault R., (Eds). The Dark Side of Brain Imaging. Elsevier Press.

Maoz, U., Sita, K. R., Van Boxtel, J. J., & Mudrik, L. (2019). Does it matter whether you or your brain did it? An empirical investigation of the influence of the double subject fallacy on moral responsibility judgments. Frontiers in psychology10, 950. https://doi.org/10.3389/fpsyg.2019.00950

Hill, B., Brown, R., Gabel, E., Lee, C., Cannesson, M., Loohuis, L. O., … & Sankararaman, S. (2018). Preoperative predictions of in-hospital mortality using electronic medical record data. bioRxiv, 329813. https://doi.org/10.1101/329813

Titiz, A. S., Hill, M. R., Mankin, E. A., Aghajan, Z. M., Eliashiv, D., Tchemodanov, N., … & Behnke, E. (2017). Theta-burst microstimulation in the human entorhinal area improves memory specificity. Elife6, e29515. https://doi.org/10.7554/eLife.29515

Maoz, U., & Yaffe, G. (2016). What does recent neuroscience tell us about criminal responsibility?. Journal of Law and the Biosciences3(1), 120-139. https://doi.org/10.1093/jlb/lsv051

Maoz, U., Mudrik, L., Rivlin, R., Ross, I., Mamelak, A., & Yaffe, G. (2015). On reporting the onset of the intention to move. Surrounding free will: philosophy, psychology, neuroscience (Mele A, ed), 184-202.

Mudrik, L., & Maoz, U. (2014). “Me & My Brain”: Exposing Neuroscience’s Closet Dualism. Journal of Cognitive Neuroscience27(2), 211-221. https://doi.org/10.1162/jocn_a_00723

Maoz, U., Rutishauser, U., Kim, S., Cai, X., Lee, D., & Koch, C. (2013). Predeliberation activity in prefrontal cortex and striatum and the prediction of subsequent value judgment. Frontiers in neuroscience7, 225. https://doi.org/10.3389/fnins.2013.00225

Maoz U and Yaffe G, Neuroscience and the Law (2013), in Gazzaniga et al. (Eds.), Cognitive Neuroscience, The Biology of Mind 4th Edition, Norton & Company, 1025-1033

Maoz, U., Ye, S., Ross, I., Mamelak, A., & Koch, C. (2012). Predicting action content on-line and in real time before action onset–an intracranial human study. In Advances in Neural Information Processing Systems (pp. 872-880).

Flash T, Maoz U and Polyakov F (2009) Arm Trajectory Formation, in Binder MD, Hirokawa N, Windhorst U and Hirsch MC (Eds.), Encyclopedia of Neuroscience, Springer

Maoz, U., Berthoz, A., & Flash, T. (2009). Complex unconstrained three-dimensional hand movement and constant equi-affine speed. Journal of neurophysiology101(2), 1002-1015. https://doi.org/10.1152/jn.90702.2008

Pollick, F. E., Maoz, U., Handzel, A. A., Giblin, P. J., Sapiro, G., & Flash, T. (2009). Three-dimensional arm movements at constant equi-affine speed. Cortex45(3), 325-339. https://doi.org/10.1016/j.cortex.2008.03.010

Maoz, U., Portugaly, E., Flash, T., & Weiss, Y. (2006). Noise and the two-thirds power law. In Advances in Neural Information Processing Systems (pp. 851-858).