Pipa, Gordon
Full Name
Pipa, Gordon
Variants
Pipa, G
Pipa, Gordon
Pipa, Gordon
Main Affiliation
FIS NetID
ORCID
Country
Germany
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2
0
20
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false
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3
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1-20 von 75
| Erscheinungsdatum | Titel | Autor(en) | |
|---|---|---|---|
| 1 | 2018 | 2D:4D and spatial abilities: From rats to humans | Mueller, N.; Campbell, S.; Nonaka, M.; Rost, T. M.; Pipa, G. ; Konrad, B. N.; Steiger, A.; Czisch, M.; Fernandez, G.; Dresler, M.; Genzel, L. |
| 2 | 2017 | 2D:4D and spatial abilities: From rats to humans | Müller, Nils C. J.; Campbell, Siobhan; Nonaka, Mio; Rost, Thomas; Pipa, Gordon ; Konrad, Boris N.; Steiger, Axel; Czisch, Michael; Fernández, Guillén; Dresler, Martin; Genzel, Lisa |
| 3 | 2019 | A Bayesian Monte Carlo approach for predicting the spread of infectious diseases | Stojanović, Olivera; Leugering, Johannes; Pipa, Gordon ; Ghozzi, Stéphane; Ullrich, Alexander |
| 4 | 2019 | A Bayesian Monte Carlo approach for predicting the spread of infectious diseases | Stojanovic, Olivera; Leugering, Johannes; Pipa, Gordon ; Ghozzi, Stephane; Ullrich, Alexander |
| 5 | 2021 | A Minimal Model of Neural Computation with Dendritic Plateau Potentials | Leugering, Johannes; Nieters, Pascal ; Pipa, Gordon |
| 6 | 2015 | A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems | Schumacher, Johannes; Wunderle, Thomas; Fries, Pascal; Jaekel, Frank; Pipa, Gordon |
| 7 | 2021 | A trajectory-based loss function to learn missing terms in bifurcating dynamical systems | Vortmeyer-Kley, Rahel; Nieters, Pascal ; Pipa, Gordon |
| 8 | 2018 | A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations | Leugering, Johannes; Pipa, Gordon |
| 9 | 2018 | Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks | Sütfeld, Leon René; Brieger, Flemming; Finger, Holger; Füllhase, Sonja; Pipa, Gordon |
| 10 | 2015 | Application of Parallel Factor Analysis (PARAFAC) to electrophysiological data | Schmitz, S. Katharina; Hasselbach, Philipp P.; Ebisch, Boris; Klein, Anja; Pipa, Gordon ; Galuske, Ralf A. W. |
| 11 | 2011 | Applying the Multivariate Time-Rescaling Theorem to Neural Population Models | Gerhard, Felipe; Haslinger, Robert; Pipa, Gordon |
| 12 | 2015 | Assessing Coupling Dynamics from an Ensemble of Time Series | Gomez-Herrero, German; Wu, Wei; Rutanen, Kalle; Soriano, Miguel C.; Pipa, Gordon ; Vicente, Raul |
| 13 | 2015 | Assessing Coupling Dynamics from an Ensemble of Time Series | Gómez-Herrero, Germán; Wu, Wei; Rutanen, Kalle; Soriano, Miguel C.; Pipa, Gordon ; Vicente, Raul |
| 14 | 2010 | Assessing coupling dynamics from an ensemble of time series | Gómez-Herrero, Germán; Wu, Wei; Rutanen, Kalle; Soriano, Miguel C.; Pipa, Gordon ; Vicente, Raul |
| 15 | 2017 | Auditory evoked potentials in lucid dreams: A dissertation summary | Appel, Kristoffer ; Pipa, Gordon |
| 16 | 2018 | Autonomous Vehicles Require Socio-Political Acceptance-An Empirical and Philosophical Perspective on the Problem of Moral Decision Making | Bergmann, Lasse T.; Schlicht, Larissa; Meixner, Carmen; Koenig, Peter ; Pipa, Gordon ; Boshammer, Susanne ; Stephan, Achim |
| 17 | 2021 | Bayesian hierarchical models can infer interpretable predictions of leaf area index from heterogeneous datasets | Stojanović, Olivera; Siegmann, Bastian; Jarmer, Thomas ; Pipa, Gordon ; Leugering, Johannes |
| 18 | 2021 | Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision | Lukanov, Hristofor; Koenig, Peter ; Pipa, Gordon |
| 19 | 2012 | Context Matters: The Illusive Simplicity of Macaque V1 Receptive Fields | Haslinger, Robert; Pipa, Gordon ; Lima, Bruss; Singer, Wolf; Brown, Emery N.; Neuenschwander, Sergio |
| 20 | 2017 | Cortical Spike Synchrony as a Measure of Input Familiarity | Korndoerfer, Clemens; Ullner, Ekkehard; Garcia-Ojalvo, Jordi; Pipa, Gordon |