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Oren Shriki, Ph.D. - Publications

Affiliations: 
Laboratory of Systems Neuroscience National Institute of Mental Health, Bethesda, MD, United States 
Area:
Computational neuroscience
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23/35 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Lombardi F, Pepić S, Shriki O, Tkačik G, De Martino D. Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. Nature Computational Science. 3: 254-263. PMID 38177880 DOI: 10.1038/s43588-023-00410-9  0.339
2023 Lombardi F, Herrmann HJ, Parrino L, Plenz D, Scarpetta S, Vaudano AE, de Arcangelis L, Shriki O. Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting state. Cell Reports. 42: 113162. PMID 37777965 DOI: 10.1016/j.celrep.2023.113162  0.54
2020 Levi-Aharoni H, Shriki O, Tishby N. Surprise response as a probe for compressed memory states. Plos Computational Biology. 16: e1007065. PMID 32012146 DOI: 10.1371/Journal.Pcbi.1007065  0.517
2020 Sarracino A, Arviv O, Shriki O, Arcangelis Ld. Predicting brain evoked response to external stimuli from temporal correlations of spontaneous activity Arxiv: Neurons and Cognition. 2. DOI: 10.1103/Physrevresearch.2.033355  0.402
2019 Arviv O, Goldstein A, Shriki O. Neuronal avalanches and time-frequency representations in stimulus-evoked activity. Scientific Reports. 9: 13319. PMID 31527749 DOI: 10.1038/S41598-019-49788-5  0.477
2019 Friedman N, Fekete T, Gal K, Shriki O. EEG-Based Prediction of Cognitive Load in Intelligence Tests. Frontiers in Human Neuroscience. 13: 191. PMID 31244629 DOI: 10.3389/Fnhum.2019.00191  0.309
2018 Fekete T, Omer DB, O'Hashi K, Grinvald A, van Leeuwen C, Shriki O. Critical dynamics, anesthesia and information integration: Lessons from multi-scale criticality analysis of voltage imaging data. Neuroimage. PMID 30120988 DOI: 10.1016/J.Neuroimage.2018.08.026  0.396
2018 Priesemann V, Shriki O. Can a time varying external drive give rise to apparent criticality in neural systems? Plos Computational Biology. 14: e1006081. PMID 29813052 DOI: 10.1371/Journal.Pcbi.1006081  0.378
2016 Arviv O, Medvedovsky M, Sheintuch L, Goldstein A, Shriki O. Deviations from Critical Dynamics in Interictal Epileptiform Activity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 12276-12292. PMID 27903734 DOI: 10.1523/Jneurosci.0809-16.2016  0.419
2016 Shriki O, Sadeh Y, Ward J. The Emergence of Synaesthesia in a Neuronal Network Model via Changes in Perceptual Sensitivity and Plasticity. Plos Computational Biology. 12: e1004959. PMID 27392215 DOI: 10.1371/Journal.Pcbi.1004959  0.436
2016 Shriki O, Yellin D. Optimal Information Representation and Criticality in an Adaptive Sensory Recurrent Neuronal Network. Plos Computational Biology. 12: e1004698. PMID 26882372 DOI: 10.1371/Journal.Pcbi.1004698  0.388
2015 Arviv O, Goldstein A, Shriki O. Near-Critical Dynamics in Stimulus-Evoked Activity of the Human Brain and Its Relation to Spontaneous Resting-State Activity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 13927-42. PMID 26468194 DOI: 10.1523/Jneurosci.0477-15.2015  0.414
2014 Lerner I, Bentin S, Shriki O. Integrating the automatic and the controlled: strategies in semantic priming in an attractor network with latching dynamics. Cognitive Science. 38: 1562-603. PMID 24890261 DOI: 10.1111/Cogs.12133  0.347
2014 Lerner I, 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. 5: 314. PMID 24795670 DOI: 10.3389/Fpsyg.2014.00314  0.39
2014 Shriki O, Plenz D. Neuronal Avalanches in the Human Brain Criticality in Neural Systems. 177-190. DOI: 10.1002/9783527651009.ch8  0.586
2014 Yu S, Yang H, Shriki O, Plenz D. Critical Exponents, Universality Class, and Thermodynamic "Temperature" of the Brain Criticality in Neural Systems. 319-334. DOI: 10.1002/9783527651009.ch14  0.636
2013 Meisel C, Olbrich E, Shriki O, Achermann P. Fading signatures of critical brain dynamics during sustained wakefulness in humans. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 17363-72. PMID 24174669 DOI: 10.1523/Jneurosci.1516-13.2013  0.357
2013 Yu S, Yang H, Shriki O, Plenz D. Universal organization of resting brain activity at the thermodynamic critical point. Frontiers in Systems Neuroscience. 7: 42. PMID 23986660 DOI: 10.3389/Fnsys.2013.00042  0.713
2013 Shriki O, Alstott J, Carver F, Holroyd T, Henson RN, Smith ML, Coppola R, Bullmore E, Plenz D. Neuronal avalanches in the resting MEG of the human brain. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 7079-90. PMID 23595765 DOI: 10.1523/Jneurosci.4286-12.2013  0.638
2012 Lerner I, Bentin S, Shriki O. Spreading activation in an attractor network with latching dynamics: automatic semantic priming revisited. Cognitive Science. 36: 1339-82. PMID 23094718 DOI: 10.1111/Cogs.12007  0.418
2012 Shriki O, Kohn A, Shamir M. Fast coding of orientation in primary visual cortex. Plos Computational Biology. 8: e1002536. PMID 22719237 DOI: 10.1371/Journal.Pcbi.1002536  0.646
2003 Shriki O, Hansel D, Sompolinsky H. Rate models for conductance-based cortical neuronal networks. Neural Computation. 15: 1809-41. PMID 14511514 DOI: 10.1162/08997660360675053  0.669
2001 Shriki O, Sompolinsky H, Lee DD. An information maximization approach to overcomplete and recurrent representations Advances in Neural Information Processing Systems.  0.48
Low-probability matches (unlikely to be authored by this person)
2012 Lerner I, Bentin S, Shriki O. Excessive attractor instability accounts for semantic priming in schizophrenia. Plos One. 7: e40663. PMID 22844407 DOI: 10.1371/Journal.Pone.0040663  0.3
2019 Abu-Rmileh A, Zakkay E, Shmuelof L, Shriki O. Co-adaptive Training Improves Efficacy of a Multi-Day EEG-Based Motor Imagery BCI Training. Frontiers in Human Neuroscience. 13: 362. PMID 31680914 DOI: 10.3389/Fnhum.2019.00362  0.288
2019 Gordon S, Todder D, Deutsch I, Garbi D, Alkobi O, Shriki O, Shkedy-Rabani A, Shahar N, Meiran N. Effects of neurofeedback and working memory-combined training on executive functions in healthy young adults. Psychological Research. PMID 31053887 DOI: 10.1007/S00426-019-01170-W  0.278
2021 Fekete T, Hinrichs H, Sitt JD, Heinze HJ, Shriki O. Multiscale criticality measures as general-purpose gauges of proper brain function. Scientific Reports. 11: 14441. PMID 34262121 DOI: 10.1038/s41598-021-93880-8  0.258
2018 Artzi NS, Shriki O. An analysis of the accuracy of the P300 BCI Brain-Computer Interfaces. 5: 112-120. DOI: 10.1080/2326263X.2018.1552357  0.249
2017 Alkoby O, Abu-Rmileh A, Shriki O, 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. 378: 155-164. PMID 28069531 DOI: 10.1016/J.Neuroscience.2016.12.050  0.237
2023 Wojcik GM, Shriki O, Kwasniewicz L, Kawiak A, Ben-Horin Y, Furman S, Wróbel K, Bartosik B, Panas E. Investigating brain cortical activity in patients with post-COVID-19 brain fog. Frontiers in Neuroscience. 17: 1019778. PMID 36845422 DOI: 10.3389/fnins.2023.1019778  0.196
2021 Dotan A, Shriki O. Tinnitus-like "hallucinations" elicited by sensory deprivation in an entropy maximization recurrent neural network. Plos Computational Biology. 17: e1008664. PMID 34879061 DOI: 10.1371/journal.pcbi.1008664  0.178
2022 Givon E, Udelsman-Danieli G, Almagor O, Fekete T, Shriki O, Meiran N. Can Feelings "Feel" Wrong? Similarities Between Counter-Normative Emotion Reports and Perceptual Errors. Psychological Science. 9567976211063915. PMID 35503295 DOI: 10.1177/09567976211063915  0.111
2023 Gelbard-Sagiv H, Pardo S, Getter N, Guendelman M, Benninger F, Kraus D, Shriki O, Ben-Sasson S. Optimizing Electrode Configurations for Wearable EEG Seizure Detection Using Machine Learning. Sensors (Basel, Switzerland). 23. PMID 37447653 DOI: 10.3390/s23135805  0.076
2014 Sade D, Shriki O, Cuadros-Inostroza A, Tohge T, Semel Y, Haviv Y, Willmitzer L, Fernie AR, Czosnek H, Brotman Y. Comparative metabolomics and transcriptomics of plant response to Tomato yellow leaf curl virus infection in resistant and susceptible tomato cultivars Metabolomics. 11: 81-97. DOI: 10.1007/S11306-014-0670-X  0.05
2014 Sade D, Sade N, Shriki O, Lerner S, Gebremedhin A, Karavani A, Brotman Y, Osorio S, Fernie AR, Willmitzer L, Czosnek H, Moshelion M. Water Balance, Hormone Homeostasis, and Sugar Signaling Are All Involved in Tomato Resistance to Tomato Yellow Leaf Curl Virus. Plant Physiology. 165: 1684-1697. PMID 24989233 DOI: 10.1104/Pp.114.243402  0.029
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