Bayesian inference of inhomogeneous point process models: methodological advances and modelling of neuronal spiking data
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin
2019
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Enthält 3 Sonderabdrucke aus verschiedenen Zeitschriften |
| Beschreibung: | viii, 157 Seiten Illustrationen, Diagramme |
| DOI: | 10.14279/depositonce-8398 |
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| spelling | Donner, Christian Verfasser (DE-588)1199388327 aut Bayesian inference of inhomogeneous point process models methodological advances and modelling of neuronal spiking data vorgelegt von Master of Science Christian Donner Berlin 2019 viii, 157 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Enthält 3 Sonderabdrucke aus verschiedenen Zeitschriften Dissertation Technische Universität Berlin 2019 (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Online-Ausgabe 10.14279/depositonce-8398 (DE-604)BV046249979 https://doi.org/10.14279/depositonce-8398 Resolving-System kostenfrei Volltext |
| spellingShingle | Donner, Christian Bayesian inference of inhomogeneous point process models methodological advances and modelling of neuronal spiking data |
| subject_GND | (DE-588)4113937-9 |
| title | Bayesian inference of inhomogeneous point process models methodological advances and modelling of neuronal spiking data |
| title_auth | Bayesian inference of inhomogeneous point process models methodological advances and modelling of neuronal spiking data |
| title_exact_search | Bayesian inference of inhomogeneous point process models methodological advances and modelling of neuronal spiking data |
| title_full | Bayesian inference of inhomogeneous point process models methodological advances and modelling of neuronal spiking data vorgelegt von Master of Science Christian Donner |
| title_fullStr | Bayesian inference of inhomogeneous point process models methodological advances and modelling of neuronal spiking data vorgelegt von Master of Science Christian Donner |
| title_full_unstemmed | Bayesian inference of inhomogeneous point process models methodological advances and modelling of neuronal spiking data vorgelegt von Master of Science Christian Donner |
| title_short | Bayesian inference of inhomogeneous point process models |
| title_sort | bayesian inference of inhomogeneous point process models methodological advances and modelling of neuronal spiking data |
| title_sub | methodological advances and modelling of neuronal spiking data |
| topic_facet | Hochschulschrift |
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