Pipa, Gordon

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Pipa, Gordon
 
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Pipa, G
Pipa, Gordon
 
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Germany
 
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Publications


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Schlagwort:  Artificial neural network

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ErscheinungsdatumTitelAutor(en)
12014Optimized Temporal Multiplexing for Reservoir Computing with a Single Delay-Coupled NodeToutounji, Hazem; Schumacher, Johannes; Pipa, Gordon 
22017Cortical Spike Synchrony as a Measure of Input Familiarity.Korndörfer, Clemens; Ullner, Ekkehard; Garcia-Ojalvo, Jordi; Pipa, Gordon 
32017Encoding 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 
42018Adaptive Blending Units: Trainable Activation Functions for Deep Neural NetworksSütfeld, Leon René; Brieger, Flemming; Finger, Holger; Füllhase, Sonja; Pipa, Gordon 
52020Adaptive Blending Units: Trainable Activation Functions for Deep Neural NetworksSütfeld, Leon René; Brieger, Flemming; Finger, Holger; Füllhase, Sonja; Pipa, Gordon 
62021A Minimal Model of Neural Computation with Dendritic Plateau PotentialsLeugering, Johannes; Nieters, Pascal ; Pipa, Gordon 
72021Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-SupervisedClay, Viviane; König, Peter ; Pipa, Gordon ; Kühnberger, Kai-Uwe 
82022Spike-based statistical learning explains human performance in non-adjacent dependency learning tasksLehfeldt, Sophie; Mueller, Jutta L.; Pipa, Gordon 
92023Post-Processing of NWP Precipitation Forecasts using Deep LearningRojas-Campos, Adrian; Wittenbrink, Martin; Nieters, Pascal ; Schaffernicht, Erik J; Keller, Jan D; Pipa, Gordon 
102023Dendritic plateau potentials can process spike sequences across multiple time-scalesLeugering, Johannes; Nieters, Pascal ; Pipa, Gordon