Triggiani, A. I., Whitmarsh, A., Schurger, A., Maoz, U., & Hallett, M. (2026). Factors that influence the amplitude of the bereitschaftspotential. Neuroscience & Biobehavioral Reviews, 106738. https://doi.org/10.1016/j.neubiorev.2026.106738
Triggiani, A. I., Whitmarsh, A., Schurger, A., Maoz, U., & Hallett, M. (2026). Factors that influence the amplitude of the bereitschaftspotential. Neuroscience & Biobehavioral Reviews, 106738. https://doi.org/10.1016/j.neubiorev.2026.106738
Amir, N., Maoz, U., & Mudrik, L. (2026). Mid-level perceptual features, and not ambiguity, accelerate access to awareness. Neuroscience of Consciousness, 2026(1), niag006. https://doi.org/10.1093/nc/niag006
Roskies, A. L., Schurger, A., & Maoz, U. (2025). Neuroscientists should set a high bar for evidence against free will. Scientific American.
Rimkevičius, P., Vierkant, T., & Schurger, A. (2025). The Experience of Deciding: An Electroencephalography Study. Journal of Cognitive Neuroscience, 1-20. https://doi.org/10.1162/JOCN.a.103
Pech, G. P., Caspar, E., Pacherie, E., Cleeremans, A., & Maoz, U. (2025). A multi-measurement study of the relation between deliberation and volition. Neuroscience of Consciousness, 2025(1), niaf023. https://doi.org/10.1093/nc/niaf023
Nunes, U. B., Nicolacoudis, A., Sarig, A., Fish, N., Mudrik, L., Pitts, M., & Schurger, A. (2025). Visual Awareness Positivity: a Novel Neural Correlate of Consciousness. Journal of Vision, 25(9), 2277-2277. https://doi.org/10.1167/jov.25.9.2277
Mudrik, L., Faivre, N., Pitts, M., & Schurger, A. (2025). On a confusion about there being two types of consciousness. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2025.11.012
Lashgari, E., Chen, E., Gregory, J., & Maoz, U. (2025). A systematic review of flotation-restricted environmental stimulation therapy (REST). BMC Complementary Medicine and Therapies, 25, Article 230. https://doi.org/10.1186/s12906-025-04973-0
Hopkins, A. R., Lan, T., & Schurger, A. (2025). Self-initiated action rescues visual targets from backwards masking. Iscience, 28(9). https://doi.org/10.1016/j.isci.2025.113244
Chavez, C., Schurger-Foy, A., Oh, J., Oh, J., Linstead, E., Yun, K., & Maoz, U. (2025). Toward the trusted medical imaging AI: An explainable machine learning model for schizophrenia brain MRIs. SSRN.http://dx.doi.org/10.2139/ssrn.5185071
Buccella, A., & Maoz, U. (2025). Making decision support systems intelligible: Explainability or interpretability? PsyArXiv. https://doi.org/10.31234/osf.io/mn9bk_v1
Gavenas, J., Schurger, A., & Maoz, U. (2025). Probing for intentions: The early readiness potential does not reflect awareness of motor preparation. Imaging Neuroscience 2025; 3 imag_a_00465. https://doi.org/10.1162/imag_a_00465
Dominik, T., Mele, A., Schurger, A., & Maoz, U. (2024). Libet’s legacy: A primer to the neuroscience of volition. Neuroscience & Biobehavioral Reviews, 105503. https://doi.org/10.1016/j.neubiorev.2023.105503
Buccella, A., Maoz, U., & Mudrik, L. (2024) Towards an interdisciplinary “science of the mind”: A call for enhanced collaboration between philosophy and neuroscience. Eur J Neurosci, 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
Oliver, A., Wong, A., Chen, E., & Raz, A. (2024). Suggestibility and psychedelics: From therapeutics to social context. Psychology of Consciousness: Theory, Research, and Practice. Advance online publication. https://doi.org/10.1037/cns0000412
Mudrik, L., Mylopoulos, M., Negro, N., & Schurger, A. (2023). Theories of consciousness and a life worth living. Current Opinion in Behavioral Sciences, 53, 101299. https://doi.org/10.1016/j.cobeha.2023.101299
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
Chen, E. G., Oliver, A. K., & Raz, A. (2023). Irving Kirsch opens a window on antidepressant medications. American Journal of Clinical Hypnosis, 65(3), 223–240. https://doi.org/10.1080/00029157.2022.2121678
Buccella, A., & Dominik, T. (2023, January 16). Free will is only an illusion if you are, too. Scientific American. https://www.scientificamerican.com/article/free-will-is-only-an-illusion-if-you-are-too/
Pittelkow, M.-M., Field, S. M., Isager, P. M., van’t Veer, A. E., Anderson, T., Cole, S. N., Dominik, T., Giner-Sorolla, R., Gok, S., Heyman, T., Jekel, M., Luke, T. J., Mitchell, D. B., Peels, R., Pendrous, R., Sarrazin, S., Schauer, J. M., Specker, E., Tran, U. S., … van Ravenzwaaij, D. (2023). The process of replication target selection in psychology: What to consider? Royal Society Open Science, 10(2), 210586. https://doi.org/10.1098/rsos.210586
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
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
Mudrik, L., Gur Arie, I., Amir, Y., Shir, Y., Hieronymi, P., Maoz, U., O’Connor, T., Schurger, A., Vargas, M., Vierkant, T., Sinnott-Armstrong, W., & Roskies, A. (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
Schurger, A., & Graziano, M. (2022). Consciousness explained or described?. Neuroscience of Consciousness, 2022(2), niac001. https://doi.org/10.1093/nc/niac001
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
Schurger, A., Pak, J., & Roskies, A. L. (2021). What Is the Readiness Potential?. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2021.04.001
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
Schotanus, P., & Schurger, A. (2020). Spontaneous Volatility: Fooled by Reflexive Randomness. Journal of Behavioral Finance, 1-13. https://doi.org/10.1080/15427560.2020.1771715
Doerig, A., Schurger, A., & Herzog, M. H. (2020). Hard criteria for empirical theories of consciousness. Cognitive Neuroscience, 1-22. https://doi.org/10.1080/17588928.2020.1772214
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
Travers, E., Khalighinejad, N., Schurger, A., & Haggard, P. (2020). Do readiness potentials happen all the time? NeuroImage, 206, 116286. https://doi.org/10.1016/j.neuroimage.2019.116286
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