Papers
Dotan A. and Shriki O., Tinnitus-like “hallucinations” elicited by sensory deprivation in an entropy maximization recurrent neural network, bioRxiv, 2021. (Link to the paper)
Sarracino A., Arviv O., Shriki O., and de Arcangelis L., Predicting brain evoked response to external stimuli from temporal correlations of spontaneous activity, Phys. Rev. Research, 2020. (Link to the paper)
Zakkay E., Abu-Rmileh A., Geva A. B. and Shriki O., Real-time asynchronous brain-computer interfaces using echo state networks, 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, 2020. (Link to the paper)
Lombardi F., Shriki O., Herrmann H. J. and de Arcangelis L., Long-range Temporal Correlations in the Broadband Resting state Activity of the Human Brain revealed by Neuronal Avalanches. Neurocomputing, 2020.
Levi-Aharoni H., Shriki O. and Tishby N., Surprise response as a probe for compressed memory states, PLoS computational biology 16 (2), 2020. (Link to the paper)
Fekete T., Hinrichs H., Sitt J., Heinze H. J. and Shriki O., Multiscale criticality measures as general-purpose gauges of proper brain function. bioRxiv, 2019. (Link to the paper)
Abu-Rmileh A., Zakkay E., Shmuelof L. and Shriki O., Co-adaptive training improves performance in a multi-day EEG-based motor imagery BCI training. Frontiers in Human Neuroscience, 2019. (Link to the paper)
Arviv O., Goldstein A., and Shriki O., Neuronal avalanches and time-frequency representations in stimulus-evoked activity, Scientific Reports, 2019. (Link to the paper)
Shapira-Weber R., Eyal M., Skafte Detlefsen N., Shriki O. and Freifeld O., Diffeomorphic Temporal Alignment Nets, accepted to NeurIPS 2019.
Rapaport E., Puzis R. and Shriki O., EEGNAS : Neural Architecture Search for Electroencephalography Data Analysis and Decoding, IJCAI-HBAI 2019.
Friedman N., Fekete T., Gal K., Shriki O., EEG-based Prediction of Cognitive Load in Intelligence Tests, Frontiers in Human Neuroscience, doi
10.3389/fnhum.2019.00191, 2019. (Link to the paper)
Gordon S., Todder D., Duetsch I., Garbi D., Alkobi O., Shriki O., Shkedy-Rabani A., Shahar N. and Meiran N., Effects of Neurofeedback and Working Memory Combined Training on Executive Functions in Healthy Young Adults. Psychological Research, 2019. (Link to the paper)
Serota B., Golan Y., Shapiro A., Shriki O. and Nisky I., A Vibrotactile Vest for Remote Human-Dog Communication, 2019 World Haptics Conference. (Link to the paper)
Artzi S. N. and Shriki O., An Analysis of the Accuracy of the P300 BCI Brain-Computer Interface. Brain-Computer Interfaces, doi:10.1080/2326263X.2018.1552357, 2018. (Link to the paper)
Fekete T., Omer D., Kazunori O., Grinvald A., van Leeuwen C., and Shriki O.. Critical dynamics, anesthesia and information integration: lessons from multi-scale criticality analysis of voltage imaging data. Neuroimage, 183: 919-933, 2018. (Link to the paper)
Dotan A. and Shriki O., An Entropy Maximization Approach to Optimal Dimensionality Reduction., 2018 International Joint Conference on Neural Networks (IJCNN), IEEE, 2018. (Link to the paper)
Priesemann, V., and Shriki, O. (2018). Can a time varying external drive give rise to apparent criticality in neural systems?. PLoS computational biology, 14(5), e1006081. doi:10.1371/journal.pcbi.1006081, 2018. (Link to the paper)
Alkoby O., Abu-Rmileh A., Shriki O., and Todder D., Can we predict who will respond to Neurofeedback? A review of the inefficacy problem and existing predictors for successful EEG Neurofeedback learning. Neuroscience, 2017. (Link to the paper)
Arviv O., Medvedovsky M., Sheintuch L., Goldstein A., and Shriki O., Deviations from Critical Dynamics in Interictal Epileptiform Activity. Journal of Neuroscience, 36: 12276–12292, 2016. (Link to the paper)
Shriki O., Sadeh Y. and Ward J., The Emergence of Synaesthesia in a Neuronal Network Model via Changes in Perceptual Sensitivity and Plasticity. PLoS Computational Biology, 12(7): e1004959. doi:10.1371/journal.pcbi.1004959, 2016. (Link to the paper)
Shriki O. and Yellin D, Optimal Information Representation and Criticality in an Adaptive Sensory Recurrent Neuronal Network. PLoS Computational Biology, 12(2): e1004698. doi:10.1371/journal.pcbi.1004698, 2016. (Link to the paper)
Arviv O., Goldstein A., and Shriki O., Near-critical dynamics in stimulus-evoked activity of the human brain and its relation to spontaneous resting-state activity. Journal of Neuroscience, 35: 13927–13942, 2015. (Link to the paper)
Lerner I. and Shriki O.,Internally- and Externally-Driven Network Transitions as a Basis for Automatic and Strategic Processes in Semantic Priming: Theory and Experimental Validation. Frontiers in Psychology, doi: 10.3389/fpsyg.2014.00314, 2014. (PDF)
Lerner I., Bentin S., and Shriki O., Integrating the automatic and the controlled: Strategies in Semantic Priming in an Attractor Network with Latching Dynamics. Cognitive Science, 38, 2014. (PDF)
Meisel C., Olbrich E., Shriki O., and Achermann P., Fading signatures of critical brain dynamics during sustained wakefulness in humans. Journal of Neuroscience, 33: 17363-17372, 2013. (PDF)
Yu S., Yang H., Shriki O., and Plenz D., Universal Organization of Resting Brain Activity at the Thermodynamic Critical Point, Frontiers in Systems Neuroscience, doi: 10.3389/fnsys.2013.00042, 2013. (PDF)
Shriki O., Alstott J., Carver F., Holroyd T., Henson R., Smith M. L., Coppola R., Bullmore E., and Plenz D., Neuronal Avalanches in the Resting MEG of the Human Brain, Journal of Neuroscience 33: 7079-7090, 2013. (PDF)
Lerner I., Bentin S., and Shriki O., Spreading Activation in an Attractor Network With Latching Dynamics: Automatic Semantic Priming Revisited, Cognitive Science 36: 1339-1382, 2012. (PDF)
Lerner I., Bentin S. and Shriki O., Excessive Attractor Instability Accounts for Semantic Priming in Schizophrenia, PLoS ONE 7(7): e40663. doi:10.1371 / journal.pone.0040663, 2012. (PDF)
Shriki O., Kohn A. and Shamir M., Fast Coding of Orientation in Primary Visual Cortex, PLoS Computational Biology 8(6): e1002536. doi:10.1371 / journal.pcbi.1002536, 2012. (PDF)
Lerner I., Bentin S., and Shriki O., Automatic and Controlled Processes in Semantic Priming: an Attractor Neural Network Model with Latching Dynamics, CogSci, 2010.
Shriki O., Sompolinsky H. and Hansel D., Rate Models for Conductance-Based Cortical Neuronal Networks, Neural Computation 15: 1809-1841, 2003. (PDF)
Shriki O., Sompolinsky H. and Lee D.D., An Information-Maximization Approach to Overcomplete and Recurrent Representations, Advances in Neural Information Processing Systems 13: 612-618, 2001. (PDF)
Sarracino A., Arviv O., Shriki O., and de Arcangelis L., Predicting brain evoked response to external stimuli from temporal correlations of spontaneous activity, Phys. Rev. Research, 2020. (Link to the paper)
Zakkay E., Abu-Rmileh A., Geva A. B. and Shriki O., Real-time asynchronous brain-computer interfaces using echo state networks, 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, 2020. (Link to the paper)
Lombardi F., Shriki O., Herrmann H. J. and de Arcangelis L., Long-range Temporal Correlations in the Broadband Resting state Activity of the Human Brain revealed by Neuronal Avalanches. Neurocomputing, 2020.
Levi-Aharoni H., Shriki O. and Tishby N., Surprise response as a probe for compressed memory states, PLoS computational biology 16 (2), 2020. (Link to the paper)
Fekete T., Hinrichs H., Sitt J., Heinze H. J. and Shriki O., Multiscale criticality measures as general-purpose gauges of proper brain function. bioRxiv, 2019. (Link to the paper)
Abu-Rmileh A., Zakkay E., Shmuelof L. and Shriki O., Co-adaptive training improves performance in a multi-day EEG-based motor imagery BCI training. Frontiers in Human Neuroscience, 2019. (Link to the paper)
Arviv O., Goldstein A., and Shriki O., Neuronal avalanches and time-frequency representations in stimulus-evoked activity, Scientific Reports, 2019. (Link to the paper)
Shapira-Weber R., Eyal M., Skafte Detlefsen N., Shriki O. and Freifeld O., Diffeomorphic Temporal Alignment Nets, accepted to NeurIPS 2019.
Rapaport E., Puzis R. and Shriki O., EEGNAS : Neural Architecture Search for Electroencephalography Data Analysis and Decoding, IJCAI-HBAI 2019.
Friedman N., Fekete T., Gal K., Shriki O., EEG-based Prediction of Cognitive Load in Intelligence Tests, Frontiers in Human Neuroscience, doi
10.3389/fnhum.2019.00191, 2019. (Link to the paper)
Gordon S., Todder D., Duetsch I., Garbi D., Alkobi O., Shriki O., Shkedy-Rabani A., Shahar N. and Meiran N., Effects of Neurofeedback and Working Memory Combined Training on Executive Functions in Healthy Young Adults. Psychological Research, 2019. (Link to the paper)
Serota B., Golan Y., Shapiro A., Shriki O. and Nisky I., A Vibrotactile Vest for Remote Human-Dog Communication, 2019 World Haptics Conference. (Link to the paper)
Artzi S. N. and Shriki O., An Analysis of the Accuracy of the P300 BCI Brain-Computer Interface. Brain-Computer Interfaces, doi:10.1080/2326263X.2018.1552357, 2018. (Link to the paper)
Fekete T., Omer D., Kazunori O., Grinvald A., van Leeuwen C., and Shriki O.. Critical dynamics, anesthesia and information integration: lessons from multi-scale criticality analysis of voltage imaging data. Neuroimage, 183: 919-933, 2018. (Link to the paper)
Dotan A. and Shriki O., An Entropy Maximization Approach to Optimal Dimensionality Reduction., 2018 International Joint Conference on Neural Networks (IJCNN), IEEE, 2018. (Link to the paper)
Priesemann, V., and Shriki, O. (2018). Can a time varying external drive give rise to apparent criticality in neural systems?. PLoS computational biology, 14(5), e1006081. doi:10.1371/journal.pcbi.1006081, 2018. (Link to the paper)
Alkoby O., Abu-Rmileh A., Shriki O., and Todder D., Can we predict who will respond to Neurofeedback? A review of the inefficacy problem and existing predictors for successful EEG Neurofeedback learning. Neuroscience, 2017. (Link to the paper)
Arviv O., Medvedovsky M., Sheintuch L., Goldstein A., and Shriki O., Deviations from Critical Dynamics in Interictal Epileptiform Activity. Journal of Neuroscience, 36: 12276–12292, 2016. (Link to the paper)
Shriki O., Sadeh Y. and Ward J., The Emergence of Synaesthesia in a Neuronal Network Model via Changes in Perceptual Sensitivity and Plasticity. PLoS Computational Biology, 12(7): e1004959. doi:10.1371/journal.pcbi.1004959, 2016. (Link to the paper)
Shriki O. and Yellin D, Optimal Information Representation and Criticality in an Adaptive Sensory Recurrent Neuronal Network. PLoS Computational Biology, 12(2): e1004698. doi:10.1371/journal.pcbi.1004698, 2016. (Link to the paper)
Arviv O., Goldstein A., and Shriki O., Near-critical dynamics in stimulus-evoked activity of the human brain and its relation to spontaneous resting-state activity. Journal of Neuroscience, 35: 13927–13942, 2015. (Link to the paper)
Lerner I. and Shriki O.,Internally- and Externally-Driven Network Transitions as a Basis for Automatic and Strategic Processes in Semantic Priming: Theory and Experimental Validation. Frontiers in Psychology, doi: 10.3389/fpsyg.2014.00314, 2014. (PDF)
Lerner I., Bentin S., and Shriki O., Integrating the automatic and the controlled: Strategies in Semantic Priming in an Attractor Network with Latching Dynamics. Cognitive Science, 38, 2014. (PDF)
Meisel C., Olbrich E., Shriki O., and Achermann P., Fading signatures of critical brain dynamics during sustained wakefulness in humans. Journal of Neuroscience, 33: 17363-17372, 2013. (PDF)
Yu S., Yang H., Shriki O., and Plenz D., Universal Organization of Resting Brain Activity at the Thermodynamic Critical Point, Frontiers in Systems Neuroscience, doi: 10.3389/fnsys.2013.00042, 2013. (PDF)
Shriki O., Alstott J., Carver F., Holroyd T., Henson R., Smith M. L., Coppola R., Bullmore E., and Plenz D., Neuronal Avalanches in the Resting MEG of the Human Brain, Journal of Neuroscience 33: 7079-7090, 2013. (PDF)
Lerner I., Bentin S., and Shriki O., Spreading Activation in an Attractor Network With Latching Dynamics: Automatic Semantic Priming Revisited, Cognitive Science 36: 1339-1382, 2012. (PDF)
Lerner I., Bentin S. and Shriki O., Excessive Attractor Instability Accounts for Semantic Priming in Schizophrenia, PLoS ONE 7(7): e40663. doi:10.1371 / journal.pone.0040663, 2012. (PDF)
Shriki O., Kohn A. and Shamir M., Fast Coding of Orientation in Primary Visual Cortex, PLoS Computational Biology 8(6): e1002536. doi:10.1371 / journal.pcbi.1002536, 2012. (PDF)
Lerner I., Bentin S., and Shriki O., Automatic and Controlled Processes in Semantic Priming: an Attractor Neural Network Model with Latching Dynamics, CogSci, 2010.
Shriki O., Sompolinsky H. and Hansel D., Rate Models for Conductance-Based Cortical Neuronal Networks, Neural Computation 15: 1809-1841, 2003. (PDF)
Shriki O., Sompolinsky H. and Lee D.D., An Information-Maximization Approach to Overcomplete and Recurrent Representations, Advances in Neural Information Processing Systems 13: 612-618, 2001. (PDF)
Book Chapters
Shriki O., and Plenz D., Neuronal Avalanches in the Human Brain, book chapter in Criticality in Neural Systems, Eds. Plenz D., Niebur E., Schuster H. G. (Wiley Press), 2014.
Yu S., Yang H., Shriki O., and Plenz D., Critical Exponents, Universality Class & Thermodynamics: The "Temperature" of the Brain, book chapter in Criticality in Neural Systems, Eds. Plenz D., Niebur E., Schuster H. G. (Wiley Press), 2014.
Yu S., Yang H., Shriki O., and Plenz D., Critical Exponents, Universality Class & Thermodynamics: The "Temperature" of the Brain, book chapter in Criticality in Neural Systems, Eds. Plenz D., Niebur E., Schuster H. G. (Wiley Press), 2014.
