Berardi, V., Lan, T., Guirguis, A., & Maoz, U. (2025). Empirically validating a computational model of automatic behavior shaping. PloS one, 20(1), e0313925. https://doi.org/10.1371/journal.pone.0313925
Works from Uri Maoz
Berardi, V., Lan, T., Guirguis, A., & Maoz, U. (2025). Empirically validating a computational model of automatic behavior shaping. PloS one, 20(1), e0313925. https://doi.org/10.1371/journal.pone.0313925
Buccella A, Maoz U, Mudrik L. Towards an interdisciplinary “science of the mind”: A call for enhanced collaboration between philosophy and neuroscience. Eur J Neurosci. 2024 Sep;60(5):4771-4784. https://doi.org/10.1111/ejn.16451
Gavenas, J., Rutishauser, U., Schurger, A., & Maoz, U. (2024). Slow ramping emerges from spontaneous fluctuations in spiking neural networks. Nature Communications, 15(1), 7285. https://doi.org/10.1038/s41467-024-51401-x
Dominik, T., Mele, A., Schurger, A., & Maoz, U. (2023). Libet’s legacy: A primer to the neuroscience of volition. Neuroscience & Biobehavioral Reviews, 105503. https://doi.org/10.1016/j.neubiorev.2023.105503
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 Data, 10(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 Sciences. https://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 Image, 41, 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
Lashgari E, Maoz U (2021). Dimensionality reduction for classification of object weight from electromyography. PLoS ONE 16(8): e0255926. https://doi.org/10.1371/journal.pone.0255926
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 Data, 7(1), p.78. https://doi.org/10.1038/s41597-020-0415-9
Lashgari, E., Liang, D., & Maoz, U. (2020). Data Augmentation for Deep-Learning-Based Electroencephalography. Journal of Neuroscience Methods. https://doi.org/10.1016/j.jneumeth.2020.108885
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 disorders, 257, 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 anaesthesia, 123(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 psychology, 10, 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. Elife, 6, 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 Biosciences, 3(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 Neuroscience, 27(2), 211-221. https://doi.org/10.1162/jocn_a_00723
Maoz, U., & Flash, T. (2014). Spatial constant equi-affine speed and motion perception. Journal of neurophysiology, 111(2), 336-349. https://doi.org/10.1152/jn.01071.2012
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 neuroscience, 7, 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 neurophysiology, 101(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. Cortex, 45(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).