Oren Shriki

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Dietmar PlenzSection on Critical Brain Dynamics, National Institute of Mental Health, Bethesda, USAVerified email at mail.nih.gov
Haim SompolinskyProfessor of Molecular and Cellular Biology and of Physics, Harvard UniversityVerified email at mcb.harvard.edu
Itamar LernerAssistant Professor, The University of Texas at San AntonioVerified email at utsa.edu
David HanselVerified email at parisdescartes.fr
Tomer Feketebrain.spaceVerified email at mail.huji.ac.il
Amjad Abu-RmilehData Science Group, Ben-Gurion University, Arab American UniversityVerified email at datascience.co.il
Doron TodderBen Gurion UniversityVerified email at neuroclinic.co.il
Christian MeiselVerified email at meisel.de
Lucilla de ArcangelisProfessor of Theoretical Physics, Second University of NaplesVerified email at unina2.it
Abraham GoldsteinBar-Ilan UniversityVerified email at biu.ac.il
Jeff AlstottMIT; SUTDVerified email at mit.edu
Richard HensonMRC Cognition & Brain Sciences Unit, University of Cambridge, UKVerified email at mrc-cbu.cam.ac.uk
Marie L SmithBirkbeck College, University of LondonVerified email at bbk.ac.uk
Edward T BullmoreProfessor of Psychiatry, University of CambridgeVerified email at cam.ac.uk
Hans J. HerrmannPMMH, ESPCI ParisVerified email at fisica.ufc.br
Shan YuInstitute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Hongdian YangAssociate Professor of Neuroscience, University of California, RiversideVerified email at ucr.edu
Dovi YellinWeizmann Institute of ScienceVerified email at weizmann.ac.il
Achermann PeterUniversity of ZurichVerified email at pharma.uzh.ch
Eckehard OlbrichMax Planck Institute for Mathematics in the SciencesVerified email at mis.mpg.de

Oren Shriki

Associate Professor, Dept. of Cognitive and Brain Sciences, Ben-Gurion University of the Negev

Verified email at bgu.ac.il - Homepage

Computational neuroscience Critical brain dynamics MEG / EEG Neuropsychiatric phenomena brain-computer interfaces


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A model of the orientation tuning of synaptic conductance D Hansel, O Shriki, H Sompolinsky		1998
A vibrotactile vest for remote human-dog communication Y Golan, B Serota, A Shapiro, O Shriki, I Nisky 2019 IEEE World Haptics Conference (WHC), 556-561, 2019	11	2019
Alpha rhythm shapes the correlation landscape of avalanche dynamics across resting wakefulness F Lombardi, L De Arcangelis, H Herrmann, O Shriki Bulletin of the American Physical Society 65, 2020		2020
An analysis of the accuracy of the P300 BCI NS Artzi, O Shriki Brain-Computer Interfaces 5 (4), 112-120, 2018	7	2018
An Entropy Maximization Approach to Optimal Dimensionality Reduction A Dotan, O Shriki 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018		2018
An information maximization approach to overcomplete and recurrent representations O Shriki, H Sompolinsky, DD Lee Advances in Neural Information Processing Systems 13, 612-618, 2000	35	2000
Asynchronous Brain Computer Interfaces Using Echo State Networks E Zakkay, A Abu-Rmileh, AB Geva, O Shriki 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020	2	2020
Automatic and Controlled Processes in Semantic Priming: an Attractor Neural Network I Lerner, S Bentin, O Shriki Proceedings of the Annual Meeting of the Cognitive Science Society, 32 (32), 2010		2010
Automatic and Controlled Processes in Semantic Priming: an Attractor Neural Network Model with Latching Dynamics I Lerner, S Bentin, O Shriki	9	2010
Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting state F Lombardi, HJ Herrmann, L Parrino, D Plenz, S Scarpetta, AE Vaudano, ... Cell reports 42 (10), 2023	8*	2023
Beyond Spectral Measures: Multi-Scale Entropy Assessment of MEG Signals in Schizophrenia EJ Wolfson, T Fekete, Y Loewenstein, O Shriki		2023
Can a time varying external drive give rise to apparent criticality in neural systems? V Priesemann, O Shriki PLoS computational biology 14 (5), e1006081, 2018	56	2018
Can feelings “feel” wrong? Similarities between counter-normative emotion reports and perceptual errors E Givon, G Udelsman-Danieli, O Almagor, T Fekete, O Shriki, N Meiran Psychological Science 33 (6), 948-956, 2022	6	2022
Can we predict who will respond to neurofeedback? A review of the inefficacy problem and existing predictors for successful EEG neurofeedback learning O Alkoby, A Abu-Rmileh, O Shriki, D Todder Neuroscience, 2017	216	2017
Co-adaptive training improves efficacy of a multi-day EEG-based motor imagery BCI training A Abu-Rmileh, E Zakkay, L Shmuelof, O Shriki Frontiers in human neuroscience 13, 362, 2019	29	2019
Critical dynamics, anesthesia and information integration: Lessons from multi-scale criticality analysis of voltage imaging data T Fekete, DB Omer, K O'Hashi, A Grinvald, C van Leeuwen, O Shriki NeuroImage 183, 919-933, 2018	36	2018
Critical Exponents, Universality Class, and Thermodynamic ‘‘Temperature’’of the Brain S Yu, H Yang, O Shriki, D Plenz Criticality in Neural Systems, 319-334, 2014	2	2014
Dept. of Brain and Cognitive Sciences Ben-Gurion University of the Negev O Shriki
Deviations from Critical Dynamics in Interictal Epileptiform Activity O Arviv, M Medvedovsky, L Sheintuch, A Goldstein, O Shriki The Journal of Neuroscience 36 (48), 12276-12292, 2016	43	2016
Diffeomorphic temporal alignment nets RA Shapira Weber, M Eyal, N Skafte, O Shriki, O Freifeld Advances in neural information processing systems 32, 2019	36	2019

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