Hauptseite > Publikationsdatenbank > A Multi-Layer Microcircuit Model of Somatosensory Cortex with Three Interneuron Subtypes > print |
001 | 941225 | ||
005 | 20240313103124.0 | ||
037 | _ | _ | |a FZJ-2023-00828 |
041 | _ | _ | |a English |
100 | 1 | _ | |a Jiang, Han-Jia |0 P:(DE-Juel1)176594 |b 0 |u fzj |
111 | 2 | _ | |a NeuronsReunited meeting |c Madrid |d 2023-01-16 - 2023-01-17 |w Spain |
245 | _ | _ | |a A Multi-Layer Microcircuit Model of Somatosensory Cortex with Three Interneuron Subtypes |f 2023-01-16 - |
260 | _ | _ | |c 2023 |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a Other |2 DataCite |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
336 | 7 | _ | |a Talk (non-conference) |b talk |m talk |0 PUB:(DE-HGF)31 |s 1682679534_4591 |2 PUB:(DE-HGF) |x Panel discussion |
336 | 7 | _ | |a Other |2 DINI |
520 | _ | _ | |a Major subtypes of inhibitory interneurons in the neocortex, PV, SOM, and VIP cells, have distinct properties in cell electrophysiology connectivity, and synaptic short-term plasticity (STP). We established a microcircuit model for the computational study of their roles in network dynamics and sensory signal processing. |
536 | _ | _ | |a 5231 - Neuroscientific Foundations (POF4-523) |0 G:(DE-HGF)POF4-5231 |c POF4-523 |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 |
536 | _ | _ | |a NeuronsReunited - Neurons reunited: data and software to reconstruct long-range projection neurons from brain tissue, place them in a digital reference brain with high precision, and model their interactions (FLAG – ERA JTC 2019) |0 G:(EU-Grant)FLAG – ERA JTC 2019 |c FLAG – ERA JTC 2019 |x 2 |
650 | 2 | 7 | |a Biology |0 V:(DE-MLZ)SciArea-160 |2 V:(DE-HGF) |x 0 |
700 | 1 | _ | |a van Albada, Sacha |0 P:(DE-Juel1)138512 |b 1 |e Corresponding author |u fzj |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/941225/files/Slides.pdf |y Restricted |
909 | C | O | |o oai:juser.fz-juelich.de:941225 |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)176594 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)138512 |
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)POF4-523 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Neuromorphic Computing and Network Dynamics |9 G:(DE-HGF)POF4-5231 |x 0 |
914 | 1 | _ | |y 2023 |
920 | _ | _ | |l no |
920 | 1 | _ | |0 I:(DE-Juel1)INM-6-20090406 |k INM-6 |l Computational and Systems Neuroscience |x 0 |
920 | 1 | _ | |0 I:(DE-Juel1)IAS-6-20130828 |k IAS-6 |l Theoretical Neuroscience |x 1 |
920 | 1 | _ | |0 I:(DE-Juel1)INM-10-20170113 |k INM-10 |l Jara-Institut Brain structure-function relationships |x 2 |
980 | _ | _ | |a talk |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-Juel1)INM-6-20090406 |
980 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
980 | _ | _ | |a I:(DE-Juel1)INM-10-20170113 |
980 | _ | _ | |a UNRESTRICTED |
981 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
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