Home > Publications database > Biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms > print |
001 | 185673 | ||
005 | 20240313095024.0 | ||
037 | _ | _ | |a FZJ-2014-07098 |
041 | _ | _ | |a English |
100 | 1 | _ | |a Hagen, Espen |0 P:(DE-Juel1)164166 |b 0 |u fzj |
111 | 2 | _ | |a Centre for Integrative Neuroplasticity Friday meeting |g CINPLA |c Oslo |d 2014-10-17 - 2014-10-17 |w Norway |
245 | _ | _ | |a Biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms |f 2014-10-17 |
260 | _ | _ | |c 2014 |
336 | 7 | _ | |a Talk (non-conference) |b talk |m talk |0 PUB:(DE-HGF)31 |s 1419257351_32692 |2 PUB:(DE-HGF) |x Invited |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a Other |2 DataCite |
336 | 7 | _ | |a Other |2 DINI |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
502 | _ | _ | |c University of Oslo |
520 | _ | _ | |a New silicon-based multielectrodes comprising hundreds or more electrodecontacts offer unprecedented possibilities for simultaneous recordings of spike trains from thousands of neurons, that can only be realized if accurate,validated methods for automatic spike sorting are provided. This in returnrequires benchmarking data sets with known ground-truth spike times. Here, Iwill present a general simulation methodology for computing benchmarking datafor evaluation of spike-sorting algorithms, based on a well-establishedbiophysical forward-modeling scheme. |
536 | _ | _ | |a 331 - Signalling Pathways and Mechanisms in the Nervous System (POF2-331) |0 G:(DE-HGF)POF2-331 |c POF2-331 |f POF II |x 0 |
536 | _ | _ | |a HBP - The Human Brain Project (604102) |0 G:(EU-Grant)604102 |c 604102 |f FP7-ICT-2013-FET-F |x 1 |
536 | _ | _ | |a 89574 - Theory, modelling and simulation (POF2-89574) |0 G:(DE-HGF)POF2-89574 |c POF2-89574 |x 2 |f POF II T |
700 | 1 | _ | |a Ness, Torbjørn Vefferstad |0 P:(DE-HGF)0 |b 1 |e Corresponding Author |
700 | 1 | _ | |a Khosrowshahi, Amir |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Sørensen, Christina |0 P:(DE-HGF)0 |b 3 |
700 | 1 | _ | |a Fyhn, Marianne |0 P:(DE-HGF)0 |b 4 |
700 | 1 | _ | |a Hafting, Torkel |0 P:(DE-HGF)0 |b 5 |
700 | 1 | _ | |a Franke, Felix |0 P:(DE-HGF)0 |b 6 |
700 | 1 | _ | |a Einevoll, Gaute T |0 P:(DE-HGF)0 |b 7 |
773 | _ | _ | |y 2014 |
909 | C | O | |o oai:juser.fz-juelich.de:185673 |p VDB |p ec_fundedresources |p openaire |
910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)164166 |
913 | 2 | _ | |a DE-HGF |b Key Technologies |l Decoding the Human Brain |1 G:(DE-HGF)POF3-570 |0 G:(DE-HGF)POF3-574 |2 G:(DE-HGF)POF3-500 |v Theory, modelling and simulation |x 0 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Funktion und Dysfunktion des Nervensystems |1 G:(DE-HGF)POF2-330 |0 G:(DE-HGF)POF2-331 |2 G:(DE-HGF)POF2-300 |v Signalling Pathways and Mechanisms in the Nervous System |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF2 |
913 | 1 | _ | |a DE-HGF |0 G:(DE-HGF)POF2-89574 |v Theory, modelling and simulation |x 1 |4 G:(DE-HGF)POF |1 G:(DE-HGF)POF3-890 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-800 |b Programmungebundene Forschung |l ohne Programm |
914 | 1 | _ | |y 2014 |
920 | _ | _ | |l yes |
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 |
980 | _ | _ | |a talk |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-Juel1)INM-6-20090406 |
980 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
980 | _ | _ | |a UNRESTRICTED |
981 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
981 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
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