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2020 – today
- 2024
[j39]Viviane Clay
, Gordon Pipa, Kai-Uwe Kühnberger, Peter König:
Development of Few-Shot Learning Capabilities in Artificial Neural Networks When Learning Through Self-Supervised Interaction. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 209-219 (2024)- 2023
- [j38]Paria Samimisabet, Laura Krieger, Themis Nethar, Gordon Pipa:
Introducing a New Mobile Electroencephalography System and Evaluating Its Quality in Comparison to Clinical Electroencephalography. Sensors 23(17): 7440 (2023) - 2022
- [j37]Faisal Khalil, Gordon Pipa:
Transforming the generative pretrained transformer into augmented business text writer. J. Big Data 9(1): 112 (2022) - [j36]Shadi Derakhshan, Farbod Nosrat Nezami, Maximilian Alexander Wächter, Artur Czeszumski, Ashima Keshava, Hristofor Lukanov, Marc Vidal De Palol, Gordon Pipa, Peter König:
Talking Cars, Doubtful Users - A Population Study in Virtual Reality. IEEE Trans. Hum. Mach. Syst. 52(4): 602-612 (2022) - 2021
- [j35]Hristofor Lukanov, Peter König, Gordon Pipa:
Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision. Frontiers Comput. Neurosci. 15: 746204 (2021) - [j34]Viviane Clay, Peter König, Kai-Uwe Kühnberger, Gordon Pipa:
Learning sparse and meaningful representations through embodiment. Neural Networks 134: 23-41 (2021) - [j33]Farbod N. Nezami, Maximilian Alexander Wächter, Nora Maleki, Philipp Spaniol, Lea M. Kühne, Anke Haas, Johannes M. Pingel, Linus Tiemann, Frederik Nienhaus, Lynn Keller, Sabine U. König, Peter König, Gordon Pipa:
Westdrive X LoopAR: An Open-Access Virtual Reality Project in Unity for Evaluating User Interaction Methods during Takeover Requests. Sensors 21(5): 1879 (2021) - [c14]Hendrik Berkemeyer, Riccardo Franceschini, Tuan Tran, Lin Che, Gordon Pipa:
Feasible and Adaptive Multimodal Trajectory Prediction with Semantic Maneuver Fusion. ICRA 2021: 8530-8536 - [i5]Viviane Clay, Peter König, Gordon Pipa, Kai-Uwe Kühnberger:
Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised. CoRR abs/2102.02153 (2021) - 2020
- [j32]Farbod N. Nezami, Maximilian Alexander Wächter, Gordon Pipa, Peter König:
Project Westdrive: Unity City With Self-Driving Cars and Pedestrians for Virtual Reality Studies. Frontiers ICT 7: 1 (2020) - [j31]Jona Carmon, Jil Heege, Joe H. Necus, Thomas W. Owen, Gordon Pipa, Marcus Kaiser, Peter Neal Taylor, Yujiang Wang:
Reliability and comparability of human brain structural covariance networks. NeuroImage 220: 117104 (2020) - [c13]Leon René Sütfeld, Flemming Brieger, Holger Finger, Sonja Füllhase, Gordon Pipa:
Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks. SAI (3) 2020: 37-50 - [i4]Farbod N. Nezami, Maximilian Alexander Wächter, Nora Maleki, Philipp Spaniol, Lea M. Kühne, Anke Haas, Johannes M. Pingel, Linus Tiemann, Frederik Nienhaus, Lynn Keller, Sabine U. König, Peter König, Gordon Pipa:
WestDrive X LoopAR: An open-access virtual reality project in Unity for evaluating user interaction methods during TOR. CoRR abs/2012.12041 (2020)
2010 – 2019
- 2019
- [j30]Anja K. Faulhaber, Anke Dittmer, Felix Blind, Maximilian Alexander Wächter, Silja Timm, Leon René Sütfeld, Achim Stephan, Gordon Pipa, Peter König:
Human Decisions in Moral Dilemmas are Largely Described by Utilitarianism: Virtual Car Driving Study Provides Guidelines for Autonomous Driving Vehicles. Sci. Eng. Ethics 25(2): 399-418 (2019) - [c12]Felix Meyer zu Driehausen, Rüdiger Busche, Johannes Leugering, Gordon Pipa:
Bistable Perception in Conceptor Networks. ICANN (Workshop) 2019: 24-34 - [c11]Renato Garita Figueiredo, Kai-Uwe Kühnberger, Gordon Pipa, Tobias Thelen:
Combining Deep Learning and (Structural) Feature-Based Classification Methods for Copyright-Protected PDF Documents. ICANN (4) 2019: 69-75 - 2018
- [j29]Johannes Leugering, Gordon Pipa:
A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations. Neural Comput. 30(4) (2018) - [i3]Leon René Sütfeld, Flemming Brieger, Holger Finger, Sonja Füllhase, Gordon Pipa:
Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks. CoRR abs/1806.10064 (2018) - 2017
- [j28]Pascal Nieters, Johannes Leugering, Gordon Pipa:
Neuromorphic computation in multi-delay coupled models. IBM J. Res. Dev. 61(2/3): 8:7-8:9 (2017) - [j27]Clemens Korndörfer, Ekkehard Ullner, Jordi García-Ojalvo, Gordon Pipa:
Cortical Spike Synchrony as a Measure of Input Familiarity. Neural Comput. 29(9): 2491-2510 (2017) - [c10]Pattreeya Tanisaro, Constantin Lehman, Leon René Sütfeld, Gordon Pipa, Gunther Heidemann:
Classifying Bio-Inspired Model of Point-Light Human Motion Using Echo State Networks. ICANN (1) 2017: 84-91 - [i2]Maximilian Alexander Wächter, Anja K. Faulhaber, Felix Blind, Silja Timm, Anke Dittmer, Leon René Sütfeld, Achim Stephan, Gordon Pipa, Peter König:
Human decisions in moral dilemmas are largely described by Utilitarianism: virtual car driving study provides guidelines for ADVs. CoRR abs/1706.07332 (2017) - 2016
- [j26]Mina Shahi, Carl van Vreeswijk, Gordon Pipa:
Serial Spike Time Correlations Affect Probability Distribution of Joint Spike Events. Frontiers Comput. Neurosci. 10: 139 (2016) - 2015
- [j25]Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente:
Assessing Coupling Dynamics from an Ensemble of Time Series. Entropy 17(4): 1958-1970 (2015) - [j24]Witali Aswolinskiy, Gordon Pipa:
RM-SORN: A Reward-Modulated Self-Organizing Recurrent Neural Network. Frontiers Comput. Neurosci. 9: 36 (2015) - [j23]Hazem Toutounji, Johannes Schumacher, Gordon Pipa:
Homeostatic Plasticity for Single Node Delay-Coupled Reservoir Computing. Neural Comput. 27(6): 1159-1185 (2015) - [j22]Johannes Schumacher, Thomas Wunderle, Pascal Fries, Frank Jäkel, Gordon Pipa:
A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems. Neural Comput. 27(8): 1555-1608 (2015) - 2014
- [j21]Sarah Katharina Schmitz, Philipp P. Hasselbach, Boris Ebisch, Anja Klein, Gordon Pipa, Ralf A. W. Galuske:
Application of Parallel Factor Analysis (PARAFAC) to electrophysiological data. Frontiers Neuroinformatics 8: 84 (2014) - [j20]Hazem Toutounji, Gordon Pipa:
Spatiotemporal Computations of an Excitable and Plastic Brain: Neuronal Plasticity Leads to Noise-Robust and Noise-Constructive Computations. PLoS Comput. Biol. 10(3) (2014) - 2013
- [j19]Robert Haslinger, Demba E. Ba, Ralf Galuske, Ziv Williams, Gordon Pipa:
Missing mass approximations for the partition function of stimulus driven Ising models. Frontiers Comput. Neurosci. 7: 96 (2013) - [j18]Gordon Pipa, Sonja Grün, Carl van Vreeswijk:
Impact of Spike Train Autostructure on Probability Distribution of Joint Spike Events. Neural Comput. 25(5): 1123-1163 (2013) - [j17]Robert Haslinger, Gordon Pipa, Laura D. Lewis, Danko Nikolic, Ziv Williams, Emery N. Brown:
Encoding Through Patterns: Regression Tree-Based Neuronal Population Models. Neural Comput. 25(8): 1953-1993 (2013) - [c9]Johannes Schumacher, Hazem Toutounji, Gordon Pipa:
An Analytical Approach to Single Node Delay-Coupled Reservoir Computing. ICANN 2013: 26-33 - [c8]Marta Castellano, Gordon Pipa:
Memory Trace in Spiking Neural Networks. ICANN 2013: 264-271 - 2012
- [j16]Gordon Pipa, Zhe Chen, Sergio Neuenschwander, Bruss Lima, Emery N. Brown:
Mapping of Visual Receptive Fields by Tomographic Reconstruction. Neural Comput. 24(10): 2543-2578 (2012) - 2011
- [j15]Felipe Gerhard, Gordon Pipa, Bruss Lima, Sergio Neuenschwander, Wulfram Gerstner:
Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect? Frontiers Comput. Neurosci. 5: 4 (2011) - [j14]Gordon Pipa, Matthias H. J. Munk:
Higher Order Spike Synchrony in Prefrontal Cortex during Visual Memory. Frontiers Comput. Neurosci. 5: 23 (2011) - [j13]Bertram Scheller, Marta Castellano, Raul Vicente, Gordon Pipa:
Spike Train Auto-Structure Impacts Post-Synaptic Firing and Timing-Based Plasticity. Frontiers Comput. Neurosci. 5: 60 (2011) - [j12]Wei Wu, Diek W. Wheeler, Gordon Pipa:
Bivariate and Multivariate NeuroXidence: A Robust and Reliable Method to Detect Modulations of Spike-Spike Synchronization Across Experimental Conditions. Frontiers Neuroinformatics 5: 14 (2011) - [j11]Raul Vicente, Michael Wibral, Michael Lindner, Gordon Pipa:
Transfer entropy - a model-free measure of effective connectivity for the neurosciences. J. Comput. Neurosci. 30(1): 45-67 (2011) - [j10]Felipe Gerhard, Robert Haslinger, Gordon Pipa:
Applying the Multivariate Time-Rescaling Theorem to Neural Population Models. Neural Comput. 23(6): 1452-1483 (2011) - [c7]Andreea Lazar, Gordon Pipa, Jochen Triesch:
Emerging Bayesian Priors in a Self-Organizing Recurrent Network. ICANN (2) 2011: 127-134 - 2010
- [j9]Robert Haslinger, Gordon Pipa, Emery N. Brown:
Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking. Neural Comput. 22(10): 2477-2506 (2010) - [i1]Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente:
Assessing coupling dynamics from an ensemble of time series. CoRR abs/1008.0539 (2010)
2000 – 2009
- 2009
- [j8]Vasile V. Moca, Bertram Scheller, Raul Cristian Muresan, Michael Daunderer, Gordon Pipa:
EEG under anesthesia - Feature extraction with TESPAR. Comput. Methods Programs Biomed. 95(3): 191-202 (2009) - [j7]Andreea Lazar, Gordon Pipa, Jochen Triesch:
SORN: a self-organizing recurrent neural network. Frontiers Comput. Neurosci. 3: 23 (2009) - 2008
- [j6]Gordon Pipa, Diek W. Wheeler, Wolf Singer, Danko Nikolic:
NeuroXidence: reliable and efficient analysis of an excess or deficiency of joint-spike events. J. Comput. Neurosci. 25(1): 64-88 (2008) - [c6]Andreea Lazar, Gordon Pipa, Jochen Triesch:
Predictive Coding in Cortical Microcircuits. ICANN (2) 2008: 386-395 - [c5]Gordon Pipa, Raul Vicente, Alexander Tikhonov:
Auto-structure of Presynaptic Activity Defines Postsynaptic Firing Statistics and Can Modulate STDP-Based Structure Formation and Learning. ICANN (2) 2008: 413-422 - [c4]Ekkehard Ullner, Raul Vicente, Gordon Pipa, Jordi García-Ojalvo:
Contour Integration and Synchronization in Neuronal Networks of the Visual Cortex. ICANN (2) 2008: 703-712 - 2007
- [j5]Andreea Lazar, Raul Cristian Muresan, Ellen Städtler, Matthias H. J. Munk, Gordon Pipa:
Importance of electrophysiological signal features assessed by classification trees. Neurocomputing 70(10-12): 2017-2021 (2007) - [j4]Gordon Pipa, Alexa Riehle, Sonja Grün:
Validation of task-related excess of spike coincidences based on NeuroXidence. Neurocomputing 70(10-12): 2064-2068 (2007) - [j3]Andreea Lazar, Gordon Pipa, Jochen Triesch:
Fading memory and time series prediction in recurrent networks with different forms of plasticity. Neural Networks 20(3): 312-322 (2007) - [c3]Raul Vicente, Gordon Pipa, Ingo Fischer, Claudio R. Mirasso:
Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying. ICANN (1) 2007: 904-913 - 2006
- [b1]Gordon Pipa:
The Neuronal code: development of tools and hypotheses for understanding the role of synchronization of neuronal activity. Berlin Institute of Technology, 2006 - [c2]Andreea Lazar, Gordon Pipa, Jochen Triesch:
The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks. ESANN 2006: 647-652 - 2005
- [c1]Raul Cristian Muresan, Gordon Pipa, Diek W. Wheeler:
Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits. ICANN (1) 2005: 153-159 - 2003
- [j2]Gordon Pipa, Markus Diesmann, Sonja Grün:
Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods. Complex. 8(4): 79-86 (2003) - [j1]Gordon Pipa, Sonja Grün:
Non-parametric significance estimation of joint-spike events by shuffling and resampling. Neurocomputing 52-54: 31-37 (2003)
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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