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| 001 | 1018333 | ||
| 005 | 20231124201901.0 | ||
| 024 | 7 | _ | |a 10.25493/MVXF-A0T |2 doi |
| 037 | _ | _ | |a FZJ-2023-04718 |
| 100 | 1 | _ | |a Niu, Meiqi |0 P:(DE-Juel1)171512 |b 0 |u fzj |
| 245 | _ | _ | |a 3D cyto- and receptor architectonic map of macaque superior parietal area PEm (v1.0) |
| 260 | _ | _ | |c 2023 |b EBRAINS |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Dataset |b dataset |m dataset |0 PUB:(DE-HGF)32 |s 1700813263_5331 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Chart or Table |0 26 |2 EndNote |
| 336 | 7 | _ | |a Dataset |2 DataCite |
| 336 | 7 | _ | |a DATA_SET |2 ORCID |
| 336 | 7 | _ | |a ResearchData |2 DINI |
| 520 | _ | _ | |a A multimodal analysis of the macaque superior parietal was carried out to create a 3D atlas integrating and reconciling discrepancies between previously published maps. This project involved a quantitative and statistically testable approach to the analysis of cytoarchitecture in the macaque monkey parietal lobe, in combination with an in vitro quantitative receptor autoradiographic analysis of the regional and laminar distribution patterns of 15 different neurotransmitter receptors. The borders of the identified areas were traced onto the macaque stereotaxic space provided by the MEBRAINS and Yerkes 19 templates. We provide here for the first time a map of area PEm of the macaque monkey brain integrating cyto- and receptor architectonic features in stereotaxic space. It constitutes a valuable resource for the analysis of functional experiments with non-human primates, and provides crucial data for modeling approaches with realistic synaptic dynamics |
| 536 | _ | _ | |a 5254 - Neuroscientific Data Analytics and AI (POF4-525) |0 G:(DE-HGF)POF4-5254 |c POF4-525 |f POF IV |x 0 |
| 536 | _ | _ | |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) |0 G:(EU-Grant)945539 |c 945539 |f H2020-SGA-FETFLAG-HBP-2019 |x 1 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 650 | _ | 7 | |a Neuroscience |2 Other |
| 700 | 1 | _ | |a Impieri, Daniele |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Rapan, Lucija |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Froudist-Walsh, Sean |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Funck, Thomas |0 P:(DE-Juel1)181092 |b 4 |u fzj |
| 700 | 1 | _ | |a Zhu, Qi |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Palomero-Gallagher, Nicola |0 P:(DE-Juel1)131701 |b 6 |u fzj |
| 773 | _ | _ | |a 10.25493/MVXF-A0T |
| 909 | C | O | |o oai:juser.fz-juelich.de:1018333 |p openaire |p VDB |p ec_fundedresources |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)171512 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)181092 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 6 |6 P:(DE-Juel1)131701 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5254 |x 0 |
| 914 | 1 | _ | |y 2023 |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-1-20090406 |k INM-1 |l Strukturelle und funktionelle Organisation des Gehirns |x 0 |
| 980 | _ | _ | |a dataset |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)INM-1-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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