FB 08 - Humanwissenschaften

Organization name
FB 08 - Humanwissenschaften
Parent OrgUnit
City
Osnabrück
Country
Germany

OrgUnit's Researchers publications
(Veröffentlichung der Organisationseinheit)

Aktive Filter:
Person:  Pipa, G.

1-20 von 91

ErscheinungsdatumTitelAutor(en)
120182D:4D and spatial abilities: From rats to humansMueller, N.; Campbell, S.; Nonaka, M.; Rost, T. M.; Pipa, G. ; Konrad, B. N.; Steiger, A.; Czisch, M.; Fernandez, G.; Dresler, M.; Genzel, L.
220172D:4D and spatial abilities: From rats to humansMüller, Nils C. J.; Campbell, Siobhan; Nonaka, Mio; Rost, Thomas; Pipa, Gordon ; Konrad, Boris N.; Steiger, Axel; Czisch, Michael; Fernández, Guillén; Dresler, Martin; Genzel, Lisa
32019A Bayesian Monte Carlo approach for predicting the spread of infectious diseasesStojanović, Olivera; Leugering, Johannes; Pipa, Gordon ; Ghozzi, Stéphane; Ullrich, Alexander
42019A Bayesian Monte Carlo approach for predicting the spread of infectious diseasesStojanovic, Olivera; Leugering, Johannes; Pipa, Gordon ; Ghozzi, Stephane; Ullrich, Alexander
52021A Minimal Model of Neural Computation with Dendritic Plateau PotentialsLeugering, Johannes; Nieters, Pascal ; Pipa, Gordon 
62011A new look at gamma? High- (> 60 Hz) gamma-band activity in cortical networks: Function, mechanisms and impairmentUhlhaas, Peter J.; Pipa, Gordon ; Neuenschwander, Sergio; Wibral, Michael; Singer, Wolf
72015A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex SystemsSchumacher, Johannes; Wunderle, Thomas; Fries, Pascal; Jaekel, Frank; Pipa, Gordon 
82021A trajectory-based loss function to learn missing terms in bifurcating dynamical systemsVortmeyer-Kley, Rahel; Nieters, Pascal ; Pipa, Gordon 
92018A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural PopulationsLeugering, Johannes; Pipa, Gordon 
102018Adaptive Blending Units: Trainable Activation Functions for Deep Neural NetworksSütfeld, Leon René; Brieger, Flemming; Finger, Holger; Füllhase, Sonja; Pipa, Gordon 
112020Adaptive Blending Units: Trainable Activation Functions for Deep Neural NetworksSütfeld, Leon René; Brieger, Flemming; Finger, Holger; Füllhase, Sonja; Pipa, Gordon 
122013An analytical approach to single node delay-coupled reservoir computingSchumacher, J.; Toutounji, H.; Pipa, G. 
132015An introduction to delay-coupled reservoir computingSchumacher, J.; Toutounji, H.; Pipa, G. 
142016Applicability of echo state networks to classify EEG data from a movement taskHestermeyer, L.; Pipa, G. 
152015Application of Parallel Factor Analysis (PARAFAC) to electrophysiological dataSchmitz, S. Katharina; Hasselbach, Philipp P.; Ebisch, Boris; Klein, Anja; Pipa, Gordon ; Galuske, Ralf A. W.
162011Applying the Multivariate Time-Rescaling Theorem to Neural Population ModelsGerhard, Felipe; Haslinger, Robert; Pipa, Gordon 
172015Assessing Coupling Dynamics from an Ensemble of Time SeriesGomez-Herrero, German; Wu, Wei; Rutanen, Kalle; Soriano, Miguel C.; Pipa, Gordon ; Vicente, Raul
182015Assessing Coupling Dynamics from an Ensemble of Time SeriesGómez-Herrero, Germán; Wu, Wei; Rutanen, Kalle; Soriano, Miguel C.; Pipa, Gordon ; Vicente, Raul
192010Assessing coupling dynamics from an ensemble of time seriesGómez-Herrero, Germán; Wu, Wei; Rutanen, Kalle; Soriano, Miguel C.; Pipa, Gordon ; Vicente, Raul
202017Auditory evoked potentials in lucid dreams: A dissertation summaryAppel, Kristoffer ; Pipa, Gordon