FB 08 - Humanwissenschaften

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

OrgUnit's Researchers publications
(Veröffentlichung der Organisationseinheit)


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Person:  Pipa, G.

21-40 von 91

ErscheinungsdatumTitelAutor(en)
212016Automated analysis of actimetry used for the detection of disease phenotypes in sleep medicineLeenings, R.; Glatz, C.; Boentert, M.; Heidbreder, A.; Pipa, G. ; Young, P.
222018Autonomous Vehicles Require Socio-Political Acceptance-An Empirical and Philosophical Perspective on the Problem of Moral Decision MakingBergmann, Lasse T.; Schlicht, Larissa; Meixner, Carmen; Koenig, Peter ; Pipa, Gordon ; Boshammer, Susanne ; Stephan, Achim 
232021Bayesian hierarchical models can infer interpretable predictions of leaf area index from heterogeneous datasetsStojanović, Olivera; Siegmann, Bastian; Jarmer, Thomas ; Pipa, Gordon ; Leugering, Johannes
242021Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral VisionLukanov, Hristofor; Koenig, Peter ; Pipa, Gordon 
252019Bistable Perception in Conceptor NetworksMeyer zu Driehausen, F.; Busche, R.; Leugering, J.; Pipa, G. 
262017Classifying bio-inspired model of point-light human motion using Echo State networksTanisaro, P.; Lehman, C.; Sütfeld, L.; Pipa, G. ; Heidemann, G. 
272019Combining Deep Learning and (Structural) Feature-Based Classification Methods for Copyright-Protected PDF DocumentsGarita Figueiredo, R.; Kühnberger, K.-U. ; Pipa, G. ; Thelen, T. 
282012Context Matters: The Illusive Simplicity of Macaque V1 Receptive FieldsHaslinger, Robert; Pipa, Gordon ; Lima, Bruss; Singer, Wolf; Brown, Emery N.; Neuenschwander, Sergio
292017Cortical Spike Synchrony as a Measure of Input FamiliarityKorndoerfer, Clemens; Ullner, Ekkehard; Garcia-Ojalvo, Jordi; Pipa, Gordon 
302017Cortical Spike Synchrony as a Measure of Input FamiliarityKorndörfer, Clemens; Ullner, Ekkehard; Garcia-Ojalvo, Jordi; Pipa, Gordon 
312017Cortical Spike Synchrony as a Measure of Input Familiarity.Korndörfer, Clemens; Ullner, Ekkehard; Garcia-Ojalvo, Jordi; Pipa, Gordon 
322023Deep learning models for generation of precipitation maps based on numerical weather predictionRojas-Campos, Adrian; Langguth, Michael; Wittenbrink, Martin; Pipa, Gordon 
332023Dendritic plateau potentials can process spike sequences across multiple time-scalesLeugering, Johannes; Nieters, Pascal ; Pipa, Gordon 
342023Development of Few-Shot Learning Capabilities in Artificial Neural Networks When Learning Through Self-Supervised InteractionClay, Viviane; Pipa, Gordon ; Kuhnberger, Kai-Uwe ; Konig, Peter 
352011Effect of the Topology and Delayed Interactions in Neuronal Networks SynchronizationPerez, Toni; Garcia, Guadalupe C.; Eguiluz, Victor M.; Vicente, Raul; Pipa, Gordon ; Mirasso, Claudio
362011Emerging Bayesian priors in a self-organizing recurrent networkLazar, A.; Pipa, G. ; Triesch, J.
372017Encoding and Decoding Dynamic Sensory Signals with Recurrent Neural Networks: An Application of Conceptors to BirdsongsGast, Richard; P, Faion; Standvoss, Kai; A, Suckro; B, Lewis; Pipa, Gordon 
382013Encoding Through Patterns: Regression Tree-Based Neuronal Population ModelsHaslinger, Robert; Pipa, Gordon ; Lewis, Laura D.; Nikolic, Danko; Williams, Ziv; Brown, Emery
392019Event-based pattern detection in active dendritesLeugering, Johannes; Nieters, Pascal ; Pipa, Gordon 
402011Extraction of network topology from multi-electrode recordings: is there a small-world effect?Gerhard, Felipe; Pipa, Gordon ; Lima, Bruss; Neuenschwander, Sergio; Gerstner, Wulfram