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Limited output transcranial electrical stimulation 2023 (LOTES-2023): Updates on engineering principles, regulatory statutes, and industry standards for wellness, over-the-counter, or prescription devices with low risk

Academic Journal

Bikson, M.; Unal, G.; Ganho-Ávila, A.; Datta, A.; Gillick, B.; Joensson, M.G.; Onarheim, B.; Kim, S.; Kim, J.; Lee, K.; Kirton, A.; Marjenin, T.; Rehn, E.M.; Sack, A.T.

In: Brain Stimulation. (Brain Stimulation, 1 May 2023, 16(3):840-853)

Full Text (ScienceDirect 종량제) Full Text (Clinical Key) Full Text (ScienceDirect O/A) Web of Science JCR 저널정보 Scopus Find it@PNU

Digitalized transcranial electrical stimulation: A consensus statement

Academic Journal

Brunoni, A.R.; Valiengo, L.C.L.; Ekhtiari, H.; Antal, A.; Auvichayapat, P.; Baeken, C.; Vanderhasselt, M.-A.; Benseñor, I.M.; Bikson, M.; Boggio, P.; Borroni, B.; Brighina, F.; Mondino, M.; Brunelin, J.; Carvalho, S.; Caumo, W.; Ciechanski, P.; Charvet, L.; Clark, V.P.; Cohen Kadosh, R.; Violante, I.R.; Cotelli, M.; Datta, A.; Deng, Z.-D.; Lisanby, S.H.; De Raedt, R.; De Ridder, D.; Fitzgerald, P.B.; Hoy, K.; Floel, A.; Frohlich, F.; George, M.S.; Ghobadi-Azbari, P.; Zonoozi, A.K.; Zare-Bidoky, M.; Goerigk, S.; Hamilton, R.H.; Jaberzadeh, S.J.; Kidgell, D.J.; Kirton, A.; Laureys, S.; Lavidor, M.; Lee, K.; Leite, J.; Loo, C.; Martin, D.M.; Miniussi, C.; Monte-Silva, K.; Okano, A.H.; Morales-Quezada, L.; Nitsche, M.A.; Oliveira, C.S.; Onarheim, B.; Pacheco-Barrios, K.; Fregni, F.; Padberg, F.; Nakamura-Palacios, E.M.; Palm, U.; Paulus, W.; Plewnia, C.; Priori, A.; Rajji, T.K.; Razza, L.B.; Suen, P.; Rehn, E.M.; Ruffini, G.; Skorupinski, P.; Schellhorn, K.; Simis, M.; Thibaut, A.; Vanneste, S.; Venkatasubramanian, G.; Wexler, A.; Woods, A.J.

In: Clinical Neurophysiology. (Clinical Neurophysiology, November 2022, 143:154-165)

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Free Will Belief as a Consequence of Model-Based Reinforcement Learning

Book

Rehn, E.M.

In: Artificial General Intelligence - 15th International Conference, AGI 2022, Proceedings. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023, 13539 LNAI:353-363)

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Nonlinear supervised locality preserving projections for visual pattern discrimination

Conference

Rehn, E.M.; Sprekeler, H.

In: Proceedings - International Conference on Pattern Recognition. (Proceedings - International Conference on Pattern Recognition, 4 December 2014, :1568-1573)

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Incremental learning by message passing in hierarchical temporal memory

Academic Journal

Rehn, E.M.; Maltoni, D.

In: Neural Computation. (Neural Computation, 13 August 2014, 26(8):1763-1809)

EBSCOHost PDF Web of Science JCR 저널정보 Scopus Find it@PNU

Incremental learning by message passing in hierarchical temporal memory

Book

Maltoni, D.; Rehn, E.M.

In: Artificial Neural Networks in Pattern Recognition - 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Proceedings. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, 7477 LNAI:24-35)

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