Gordon Pipa
Orcid: 0000-0002-3416-2652
According to our database1,
Gordon Pipa
authored at least 57 papers
between 2003 and 2024.
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Bibliography
2024
Development of Few-Shot Learning Capabilities in Artificial Neural Networks When Learning Through Self-Supervised Interaction.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024
2023
Introducing a New Mobile Electroencephalography System and Evaluating Its Quality in Comparison to Clinical Electroencephalography.
Sensors, September, 2023
2022
IEEE Trans. Hum. Mach. Syst., 2022
Transforming the generative pretrained transformer into augmented business text writer.
J. Big Data, 2022
2021
Westdrive X LoopAR: An Open-Access Virtual Reality Project in Unity for Evaluating User Interaction Methods during Takeover Requests.
Sensors, 2021
Neural Networks, 2021
Frontiers Comput. Neurosci., 2021
Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised.
CoRR, 2021
Feasible and Adaptive Multimodal Trajectory Prediction with Semantic Maneuver Fusion.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
NeuroImage, 2020
Project Westdrive: Unity City With Self-Driving Cars and Pedestrians for Virtual Reality Studies.
Frontiers ICT, 2020
WestDrive X LoopAR: An open-access virtual reality project in Unity for evaluating user interaction methods during TOR.
CoRR, 2020
Proceedings of the Intelligent Computing, 2020
2019
Human Decisions in Moral Dilemmas are Largely Described by Utilitarianism: Virtual Car Driving Study Provides Guidelines for Autonomous Driving Vehicles.
Sci. Eng. Ethics, 2019
Combining Deep Learning and (Structural) Feature-Based Classification Methods for Copyright-Protected PDF Documents.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
2018
Neural Comput., 2018
2017
Human decisions in moral dilemmas are largely described by Utilitarianism: virtual car driving study provides guidelines for ADVs.
CoRR, 2017
Classifying Bio-Inspired Model of Point-Light Human Motion Using Echo State Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
2016
Serial Spike Time Correlations Affect Probability Distribution of Joint Spike Events.
Frontiers Comput. Neurosci., 2016
2015
Neural Comput., 2015
A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems.
Neural Comput., 2015
Frontiers Comput. Neurosci., 2015
2014
Spatiotemporal Computations of an Excitable and Plastic Brain: Neuronal Plasticity Leads to Noise-Robust and Noise-Constructive Computations.
PLoS Comput. Biol., 2014
Frontiers Neuroinformatics, 2014
2013
Impact of Spike Train Autostructure on Probability Distribution of Joint Spike Events.
Neural Comput., 2013
Neural Comput., 2013
Missing mass approximations for the partition function of stimulus driven Ising models.
Frontiers Comput. Neurosci., 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
2012
Neural Comput., 2012
2011
Neural Comput., 2011
Transfer entropy - a model-free measure of effective connectivity for the neurosciences.
J. Comput. Neurosci., 2011
Bivariate and Multivariate NeuroXidence: A Robust and Reliable Method to Detect Modulations of Spike-Spike Synchronization Across Experimental Conditions.
Frontiers Neuroinformatics, 2011
Frontiers Comput. Neurosci., 2011
Frontiers Comput. Neurosci., 2011
Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?
Frontiers Comput. Neurosci., 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
2010
Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking.
Neural Comput., 2010
2009
Comput. Methods Programs Biomed., 2009
2008
NeuroXidence: reliable and efficient analysis of an excess or deficiency of joint-spike events.
J. Comput. Neurosci., 2008
Proceedings of the Artificial Neural Networks, 2008
Auto-structure of Presynaptic Activity Defines Postsynaptic Firing Statistics and Can Modulate STDP-Based Structure Formation and Learning.
Proceedings of the Artificial Neural Networks, 2008
Proceedings of the Artificial Neural Networks, 2008
2007
Fading memory and time series prediction in recurrent networks with different forms of plasticity.
Neural Networks, 2007
Neurocomputing, 2007
Neurocomputing, 2007
Proceedings of the Artificial Neural Networks, 2007
2006
The Neuronal code: development of tools and hypotheses for understanding the role of synchronization of neuronal activity.
PhD thesis, 2006
The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
2005
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005
2003
Non-parametric significance estimation of joint-spike events by shuffling and resampling.
Neurocomputing, 2003
Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods.
Complex., 2003