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
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20
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false
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1-20 von 24
| Erscheinungsdatum | Titel | Autor(en) | |
|---|---|---|---|
| 1 | 2010 | Assessing coupling dynamics from an ensemble of time series | Gómez-Herrero, Germán; Wu, Wei; Rutanen, Kalle; Soriano, Miguel C.; Pipa, Gordon ; Vicente, Raul |
| 2 | 2013 | Missing mass approximations for the partition function of stimulus driven Ising models | Haslinger, Robert; Ba, Demba; Galuske, Ralf A. W.; Williams, Ziv; Pipa, Gordon |
| 3 | 2014 | Reciprocal connectivity enhances frequency locking and phase coherence between gamma oscillations | Sancristóbal, Belén; Vicente, Raul; Pipa, Gordon ; Garcia-Ojalvo, Jordi |
| 4 | 2014 | Optimized Temporal Multiplexing for Reservoir Computing with a Single Delay-Coupled Node | Toutounji, Hazem; Schumacher, Johannes; Pipa, Gordon |
| 5 | 2014 | Untangling cross-frequency coupling in neuroscience | Aru, Juhan; Aru, Jaan; Priesemann, Viola; Wibral, Michael; Lana, Luiz; Pipa, Gordon ; Singer, Wolf; Vicente, Raul |
| 6 | 2015 | Assessing Coupling Dynamics from an Ensemble of Time Series | Gómez-Herrero, Germán; Wu, Wei; Rutanen, Kalle; Soriano, Miguel C.; Pipa, Gordon ; Vicente, Raul |
| 7 | 2017 | Cortical Spike Synchrony as a Measure of Input Familiarity | Korndörfer, Clemens; Ullner, Ekkehard; Garcia-Ojalvo, Jordi; Pipa, Gordon |
| 8 | 2017 | Cortical Spike Synchrony as a Measure of Input Familiarity. | Korndörfer, Clemens; Ullner, Ekkehard; Garcia-Ojalvo, Jordi; Pipa, Gordon |
| 9 | 2017 | Encoding and Decoding Dynamic Sensory Signals with Recurrent Neural Networks: An Application of Conceptors to Birdsongs | Gast, Richard; P, Faion; Standvoss, Kai; A, Suckro; B, Lewis; Pipa, Gordon |
| 10 | 2018 | Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks | Sütfeld, Leon René; Brieger, Flemming; Finger, Holger; Füllhase, Sonja; Pipa, Gordon |
| 11 | 2019 | Event-based pattern detection in active dendrites | Leugering, Johannes; Nieters, Pascal ; Pipa, Gordon |
| 12 | 2019 | Predicting epileptic seizures using nonnegative matrix factorization | Stojanović, Olivera; Pipa, Gordon |
| 13 | 2019 | A Bayesian Monte Carlo approach for predicting the spread of infectious diseases | Stojanović, Olivera; Leugering, Johannes; Pipa, Gordon ; Ghozzi, Stéphane; Ullrich, Alexander |
| 14 | 2020 | Real-Time Dialogue between Experimenters and Dreamers During REM Sleep | Konkoly, Karen; Appel, Kristoffer ; Chabani, Emma; Mironov, Alexander Y.; Mangiaruga, Anastasia; Gott, Jarrod; Mallett, Remington; Caughran, Bruce; Witkowski, Sarah; Whitmore, Nathan; Berent, Jonathan B.; Weber, Frederik D.; Pipa, Gordon ; Türker, Başak; Maranci, Jean-Baptiste; Sinin, Artyom; Dorokhov, Vladimir B.; Arnulf, Isabelle; Oudiette, Delphine; Dresler, Martin; Paller, Ken A. |
| 15 | 2020 | Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks | Sütfeld, Leon René; Brieger, Flemming; Finger, Holger; Füllhase, Sonja; Pipa, Gordon |
| 16 | 2021 | Is Deep-Learning and Natural Language Processing Transcending the Financial Forecasting? Investigation Through Lens of News Analytic Process | Khalil, Faisal; Pipa, Gordon |
| 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 | A Minimal Model of Neural Computation with Dendritic Plateau Potentials | Leugering, Johannes; Nieters, Pascal ; Pipa, Gordon |
| 19 | 2021 | Feasible and Adaptive Multimodal Trajectory Prediction with Semantic Maneuver Fusion | Berkemeyer, Hendrik; Franceschini, Riccardo; Tran, Tuan; Che, Lin; Pipa, Gordon |
| 20 | 2021 | Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised | Clay, Viviane; König, Peter ; Pipa, Gordon ; Kühnberger, Kai-Uwe |