Hauptseite > Publikationsdatenbank > Low-dimensional activity subspaces emerge from strong recurrency of cortical networks > print |
001 | 916940 | ||
005 | 20240313095017.0 | ||
037 | _ | _ | |a FZJ-2023-00207 |
100 | 1 | _ | |a Dahmen, David |0 P:(DE-Juel1)156459 |b 0 |e Corresponding author |u fzj |
111 | 2 | _ | |a INM-IBI retreat |c Jülich |d 2022-10-18 - 2022-10-19 |w Germany |
245 | _ | _ | |a Low-dimensional activity subspaces emerge from strong recurrency of cortical networks |
260 | _ | _ | |c 2022 |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a Other |2 DataCite |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
336 | 7 | _ | |a conferenceObject |2 DRIVER |
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336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1673261552_16301 |2 PUB:(DE-HGF) |x After Call |
536 | _ | _ | |a 5232 - Computational Principles (POF4-523) |0 G:(DE-HGF)POF4-5232 |c POF4-523 |f POF IV |x 0 |
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914 | 1 | _ | |y 2022 |
920 | 1 | _ | |0 I:(DE-Juel1)INM-6-20090406 |k INM-6 |l Computational and Systems Neuroscience |x 0 |
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