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
Publications
Works from the Brain Institute
2023
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
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
2022
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 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
2021
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
2020
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
2019
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
2018
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. Eneuro, 5(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
Schwiedrzik, C. M., Melloni, L., & Schurger, A. (2018). Mooney face stimuli for visual perception research. PloS one, 13(7), e0200106. https://doi.org/10.1371/journal.pone.0200106
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 Research, 236(11), 3003-3014. https://doi.org/10.1007/s00221-018-5359-3
2017
Schurger, A., Gale, S., Gozel, O., & Blanke, O. (2017). Performance monitoring for brain-computer-interface actions. Brain and cognition, 111, 44-50. https://doi.org/10.1016/j.bandc.2016.09.009
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 mapping, 38(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.
Khalighinejad, N., Schurger, A., Desantis, A., Zmigrod, L., & Haggard, P. (2018). Precursor processes of human self-initiated action. Neuroimage, 165, 35-47. https://doi.org/10.1016/j.neuroimage.2017.09.057
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
Schurger, A., Faivre, N., Cammoun, L., Trovó, B., & Blanke, O. (2017). Entrainment of voluntary movement to undetected auditory regularities. Scientific Reports, 7(1), 1-7. https://10.1038/s41598-017-15126-w
2016
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 neurophysiology, 115(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 Sciences, 113(48), 13923-13928. https://doi.org/10.1073/pnas.1611505113
2015
Schurger A, Uithol S (2015) Nowhere and everywhere: the causal origin of voluntary action. Review of Philosophy and Psychology. https://10.1007/s13164-014-0223-2
Schurger, A., Kim, M. S., & Cohen, J. D. (2015). Paradoxical interaction between ocular activity, perception, and decision confidence at the threshold of vision. PloS one, 10(5), e0125278. https://doi.org/10.1371/journal.pone.0125278
Evans, N., Gale, S., Schurger, A., & Blanke, O. (2015). Visual feedback dominates the sense of agency for brain-machine actions. PloS one, 10(6), e0130019. https://doi.org/10.1371/journal.pone.0130019
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 Sciences, 20(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 Biosciences, 3(1), 120-139. https://doi.org/10.1093/jlb/lsv051
2014
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
King, J. R., Gramfort, A., Schurger, A., Naccache, L., & Dehaene, S. (2014). Two distinct dynamic modes subtend the detection of unexpected sounds. PloS one, 9(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 Neuroscience, 27(2), 211-221. https://doi.org/10.1162/jocn_a_00723
2013
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. Neuroimage, 83, 726-738. https://doi.org/10.1016/j.neuroimage.2013.07.013
Schurger, A., Marti, S., & Dehaene, S. (2013). Reducing multi-sensor data to a single time course that reveals experimental effects. BMC neuroscience, 14(1), 1-19. http://www.biomedcentral.com/1471-2202/14/122
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
2012
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 Sciences, 109(42), E2904-E2913. https://doi.org/10.1073/pnas.1210467109
2011
2010
Schurger, A., Pereira, F., Treisman, A., & Cohen, J. D. (2010). Reproducibility distinguishes conscious from nonconscious neural representations. Science, 327(5961), 97-99. https://10.1126/science.1180029
2009
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
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
2008
Schurger, A., Cowey, A., Cohen, J. D., Treisman, A., & Tallon-Baudry, C. (2008). Distinct and independent correlates of attention and awareness in a hemianopic patient. Neuropsychologia, 46(8), 2189-2197. https://doi.org/10.1016/j.neuropsychologia.2008.02.020
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
Schurger, A. (2009). A very inexpensive MRI-compatible method for dichoptic visual stimulation. Journal of neuroscience methods, 177(1), 199-202. https://doi.org/10.1016/j.jneumeth.2008.09.028
2007
2006
Schurger, A., Cowey, A., & Tallon-Baudry, C. (2006). Induced gamma-band oscillations correlate with awareness in hemianopic patient GY. Neuropsychologia, 44(10), 1796-1803. https://doi.org/10.1016/j.neuropsychologia.2006.03.015
2005
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).
2004
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 Cortex, 14(7), 741-747. https://doi.org/10.1093/cercor/bhh034
2003
2002
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