001     1050169
005     20251229163903.0
037 _ _ |a FZJ-2025-05865
100 1 _ |a Lu, Han
|0 P:(DE-Juel1)204237
|b 0
|e Corresponding author
111 2 _ |a NEST Conference 2025
|c online
|d 2025-06-17 - 2025-06-18
|w Germany
245 _ _ |a Resolving inconsistent effects of tDCS on learning using a homeostatic structural plasticity model
260 _ _ |c 2025
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a CONFERENCE_POSTER
|2 ORCID
336 7 _ |a Output Types/Conference Poster
|2 DataCite
336 7 _ |a Poster
|b poster
|m poster
|0 PUB:(DE-HGF)24
|s 1767022535_12402
|2 PUB:(DE-HGF)
|x After Call
520 _ _ |a Transcranial direct current stimulation (tDCS) is increasingly used to modulate motor learning. Current polarity and intensity,electrode montage, and application before or during learning had mixed effects. Both Hebbian and homeostatic plasticity were proposed toaccount for the observed effects, but the explanatory power of these models is limited. In a previous modeling study, we showed thathomeostatic structural plasticity (HSP) can explain long-lasting after-effects of tDCS and transcranial magnetic stimulation (TMS).Results: The interference between motor learning and tDCS, which are both based on HSP in our model, is a candidatemechanism to resolve complex and seemingly contradictory experimental observations.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
|x 0
536 _ _ |a SLNS - SimLab Neuroscience (Helmholtz-SLNS)
|0 G:(DE-Juel1)Helmholtz-SLNS
|c Helmholtz-SLNS
|x 1
536 _ _ |a JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027)
|0 G:(DE-Juel1)JL SMHB-2021-2027
|c JL SMHB-2021-2027
|x 2
700 1 _ |a Frase, Lukas
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Normann, Claus
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Rotter, Stefan
|0 P:(DE-HGF)0
|b 3
856 4 _ |u https://juser.fz-juelich.de/record/1050169/files/2025_NEST_conf.pptx.pdf
|y Restricted
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)204237
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a poster
980 _ _ |a EDITORS
980 _ _ |a VDBINPRINT
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED


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