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

Herzog, M. H., Schurger, A., & Doerig, A. (2022). First-person experience cannot rescue causal structure theories from the unfolding argument. Consciousness and Cognition, 98, 103261. https://doi.org/10.1016/j.concog.2021.103261

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


Schurger, A. (2018). Specific relationship between the shape of the readiness potential, subjective decision time, and waiting time predicted by an accumulator model with temporally autocorrelated input noise. Eneuro5(1). https://10.1523/ENEURO.0302-17.2018

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

İşcan, Z., Schurger, A., Vernet, M., Sitt, J. D., & Valero-Cabré, A. (2018). Pre-stimulus theta power is correlated with variation of motor evoked potential latency: a single-pulse TMS study. Experimental Brain Research236(11), 3003-3014. https://doi.org/10.1007/s00221-018-5359-3


Marchesotti, S., Martuzzi, R., Schurger, A., Blefari, M. L., del Millán, J. R., Bleuler, H., & Blanke, O. (2017). Cortical and subcortical mechanisms of brain‐machine interfaces. Human brain mapping38(6), 2971-2989. https://doi.org/10.1002/hbm.23566

Schurger A (2017) The Neuropsychology of Free Will, in The Blackwell Companion to Consciousness, S. Schneider & M. Velmans Eds., John Wiley & Sons, West Sussex, UK.

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

Schurger, A., Faivre, N., Cammoun, L., Trovó, B., & Blanke, O. (2017). Entrainment of voluntary movement to undetected auditory regularities. Scientific Reports7(1), 1-7. https://10.1038/s41598-017-15126-w


Gale, S., Prsa, M., Schurger, A., Gay, A., Paillard, A., Herbelin, B., … & Blanke, O. (2016). Oscillatory neural responses evoked by natural vestibular stimuli in humans. Journal of neurophysiology115(3), 1228-1242. https://doi.org/10.1152/jn.00153.2015

Webb, T. W., Igelström, K. M., Schurger, A., & Graziano, M. S. (2016). Cortical networks involved in visual awareness independent of visual attention. Proceedings of the National Academy of Sciences113(48), 13923-13928. https://doi.org/10.1073/pnas.1611505113


Schurger, A., Kim, M. S., & Cohen, J. D. (2015). Paradoxical interaction between ocular activity, perception, and decision confidence at the threshold of vision. PloS one10(5), e0125278. https://doi.org/10.1371/journal.pone.0125278

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.

Schurger, A., Mylopoulos, M., & Rosenthal, D. (2016). Neural antecedents of spontaneous voluntary movement: a new perspective. Trends in Cognitive Sciences20(2), 77-79. https://doi.org/10.1016/j.tics.2015.11.003

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


King, J. R., Gramfort, A., Schurger, A., Naccache, L., & Dehaene, S. (2014). Two distinct dynamic modes subtend the detection of unexpected sounds. PloS one9(1), e85791. https://doi.org/10.1371/journal.pone.0085791

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


Schurger A, Cowey A (2013) Blindsight, in Encyclopedia of the Mind, H. Pashler Ed., Sage Publications, Thousand Oaks, CA, USA.

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

King, J. R., Faugeras, F., Gramfort, A., Schurger, A., El Karoui, I., Sitt, J. D., … & Cohen, L. (2013). Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness. Neuroimage83, 726-738. https://doi.org/10.1016/j.neuroimage.2013.07.013

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., 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).

Schurger, A., Sitt, J. D., & Dehaene, S. (2012). An accumulator model for spontaneous neural activity prior to self-initiated movement. Proceedings of the National Academy of Sciences109(42), E2904-E2913. https://doi.org/10.1073/pnas.1210467109


Schurger, A., Pereira, F., Treisman, A., & Cohen, J. D. (2010). Reproducibility distinguishes conscious from nonconscious neural representations. Science327(5961), 97-99. https://10.1126/science.1180029


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

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


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).


Nieuwenhuis, S., Yeung, N., Holroyd, C. B., Schurger, A., & Cohen, J. D. (2004). Sensitivity of electrophysiological activity from medial frontal cortex to utilitarian and performance feedback. Cerebral Cortex14(7), 741-747. https://doi.org/10.1093/cercor/bhh034