Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods. - Gordon Pipa; Markus Diesmann; Sonja Grün (Complex., 2003)

Non-parametric significance estimation of joint-spike events by shuffling and resampling. - Gordon Pipa; Sonja Grün (Neurocomputing, 2003)

Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits. - Raul Cristian Muresan; Gordon Pipa; Diek W. Wheeler (ICANN (1), 2005)

The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks. - Andreea Lazar; Gordon Pipa; Jochen Triesch (ESANN, 2006)

The Neuronal code: development of tools and hypotheses for understanding the role of synchronization of neuronal activity. - Gordon Pipa (2006)

Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying. - Raul Vicente; Gordon Pipa; Ingo Fischer; Claudio R. Mirasso (ICANN (1), 2007)

Importance of electrophysiological signal features assessed by classification trees. - Andreea Lazar; Raul Cristian Muresan; Ellen Städtler; Matthias H. J. Munk; Gordon Pipa (Neurocomputing, 2007)

Validation of task-related excess of spike coincidences based on NeuroXidence. - Gordon Pipa; Alexa Riehle; Sonja Grün (Neurocomputing, 2007)

Fading memory and time series prediction in recurrent networks with different forms of plasticity. - Andreea Lazar; Gordon Pipa; Jochen Triesch (Neural Networks, 2007)

Predictive Coding in Cortical Microcircuits. - Andreea Lazar; Gordon Pipa; Jochen Triesch (ICANN (2), 2008)

Auto-structure of Presynaptic Activity Defines Postsynaptic Firing Statistics and Can Modulate STDP-Based Structure Formation and Learning. - Gordon Pipa; Raul Vicente; Alexander Tikhonov (ICANN (2), 2008)

Contour Integration and Synchronization in Neuronal Networks of the Visual Cortex. - Ekkehard Ullner; Raul Vicente; Gordon Pipa; Jordi García-Ojalvo (ICANN (2), 2008)

NeuroXidence: reliable and efficient analysis of an excess or deficiency of joint-spike events. - Gordon Pipa; Diek W. Wheeler; Wolf Singer; Danko Nikolic (J. Comput. Neurosci., 2008)

EEG under anesthesia - Feature extraction with TESPAR. - Vasile V. Moca; Bertram Scheller; Raul Cristian Muresan; Michael Daunderer; Gordon Pipa (Comput. Methods Programs Biomed., 2009)

SORN: a self-organizing recurrent neural network. - Andreea Lazar; Gordon Pipa; Jochen Triesch (Frontiers Comput. Neurosci., 2009)

Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking. - Robert Haslinger; Gordon Pipa; Emery N. Brown (Neural Comput., 2010)

Emerging Bayesian Priors in a Self-Organizing Recurrent Network. - Andreea Lazar; Gordon Pipa; Jochen Triesch (ICANN (2), 2011)

Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect? - Felipe Gerhard; Gordon Pipa; Bruss Lima; Sergio Neuenschwander; Wulfram Gerstner (Frontiers Comput. Neurosci., 2011)

Higher Order Spike Synchrony in Prefrontal Cortex during Visual Memory. - Gordon Pipa; Matthias H. J. Munk (Frontiers Comput. Neurosci., 2011)

Spike Train Auto-Structure Impacts Post-Synaptic Firing and Timing-Based Plasticity. - Bertram Scheller; Marta Castellano; Raul Vicente; Gordon Pipa (Frontiers Comput. Neurosci., 2011)

Bivariate and Multivariate NeuroXidence: A Robust and Reliable Method to Detect Modulations of Spike-Spike Synchronization Across Experimental Conditions. - Wei Wu 003; Diek W. Wheeler; Gordon Pipa (Frontiers Neuroinformatics, 2011)

Transfer entropy - a model-free measure of effective connectivity for the neurosciences. - Raul Vicente; Michael Wibral; Michael Lindner; Gordon Pipa (J. Comput. Neurosci., 2011)

Applying the Multivariate Time-Rescaling Theorem to Neural Population Models. - Felipe Gerhard; Robert Haslinger; Gordon Pipa (Neural Comput., 2011)

Mapping of Visual Receptive Fields by Tomographic Reconstruction. - Gordon Pipa; Zhe Chen 001; Sergio Neuenschwander; Bruss Lima; Emery N. Brown (Neural Comput., 2012)

Memory Trace in Spiking Neural Networks. - Marta Castellano; Gordon Pipa (ICANN, 2013)

An Analytical Approach to Single Node Delay-Coupled Reservoir Computing. - Johannes Schumacher; Hazem Toutounji; Gordon Pipa (ICANN, 2013)

Missing mass approximations for the partition function of stimulus driven Ising models. - Robert Haslinger; Demba E. Ba; Ralf Galuske; Ziv Williams; Gordon Pipa (Frontiers Comput. Neurosci., 2013)

Encoding Through Patterns: Regression Tree-Based Neuronal Population Models. - Robert Haslinger; Gordon Pipa; Laura D. Lewis; Danko Nikolic; Ziv Williams; Emery N. Brown (Neural Comput., 2013)

Impact of Spike Train Autostructure on Probability Distribution of Joint Spike Events. - Gordon Pipa; Sonja Grün; Carl van Vreeswijk (Neural Comput., 2013)

Application of Parallel Factor Analysis (PARAFAC) to electrophysiological data. - Sarah Katharina Schmitz; Philipp P. Hasselbach; Boris Ebisch; Anja Klein 002; Gordon Pipa; Ralf A. W. Galuske (Frontiers Neuroinformatics, 2014)

Spatiotemporal Computations of an Excitable and Plastic Brain: Neuronal Plasticity Leads to Noise-Robust and Noise-Constructive Computations. - Hazem Toutounji; Gordon Pipa (PLoS Comput. Biol., 2014)

Assessing Coupling Dynamics from an Ensemble of Time Series. - Germán Gómez-Herrero; Wei Wu 003; Kalle Rutanen; Miguel C. Soriano; Gordon Pipa; Raul Vicente (Entropy, 2015)

RM-SORN: A Reward-Modulated Self-Organizing Recurrent Neural Network. - Witali Aswolinskiy; Gordon Pipa (Frontiers Comput. Neurosci., 2015)

A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems. - Johannes Schumacher; Thomas Wunderle; Pascal Fries; Frank Jäkel; Gordon Pipa (Neural Comput., 2015)

Homeostatic Plasticity for Single Node Delay-Coupled Reservoir Computing. - Hazem Toutounji; Johannes Schumacher; Gordon Pipa (Neural Comput., 2015)

Serial Spike Time Correlations Affect Probability Distribution of Joint Spike Events. - Mina Shahi; Carl van Vreeswijk; Gordon Pipa (Frontiers Comput. Neurosci., 2016)

Classifying Bio-Inspired Model of Point-Light Human Motion Using Echo State Networks. - Pattreeya Tanisaro; Constantin Lehman; Leon René Sütfeld; Gordon Pipa; Gunther Heidemann (ICANN (1), 2017)

Human decisions in moral dilemmas are largely described by Utilitarianism: virtual car driving study provides guidelines for ADVs. - Maximilian Alexander Wächter; Anja K. Faulhaber; Felix Blind; Silja Timm; Anke Dittmer; Leon René Sütfeld; Achim Stephan; Gordon Pipa; Peter König (CoRR, 2017)

Neuromorphic computation in multi-delay coupled models. - Pascal Nieters; Johannes Leugering; Gordon Pipa (IBM J. Res. Dev., 2017)

Cortical Spike Synchrony as a Measure of Input Familiarity. - Clemens Korndörfer; Ekkehard Ullner; Jordi García-Ojalvo; Gordon Pipa (Neural Comput., 2017)

A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations. - Johannes Leugering; Gordon Pipa (Neural Comput., 2018)

Bistable Perception in Conceptor Networks. - Felix Meyer zu Driehausen; Rüdiger Busche; Johannes Leugering; Gordon Pipa (ICANN (Workshop), 2019)

Combining Deep Learning and (Structural) Feature-Based Classification Methods for Copyright-Protected PDF Documents. - Renato Garita Figueiredo; Kai-Uwe Kühnberger; Gordon Pipa; Tobias Thelen (ICANN (4), 2019)

Human Decisions in Moral Dilemmas are Largely Described by Utilitarianism: Virtual Car Driving Study Provides Guidelines for Autonomous Driving Vehicles. - Anja K. Faulhaber; Anke Dittmer; Felix Blind; Maximilian Alexander Wächter; Silja Timm; Leon René Sütfeld; Achim Stephan; Gordon Pipa; Peter König (Sci. Eng. Ethics, 2019)

Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks. - Leon René Sütfeld; Flemming Brieger; Holger Finger; Sonja Füllhase; Gordon Pipa (SAI (3), 2020)

WestDrive X LoopAR: An open-access virtual reality project in Unity for evaluating user interaction methods during TOR. - 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; et al. (CoRR, 2020)

Project Westdrive: Unity City With Self-Driving Cars and Pedestrians for Virtual Reality Studies. - Farbod N. Nezami; Maximilian Alexander Wächter; Gordon Pipa; Peter König (Frontiers ICT, 2020)

Reliability and comparability of human brain structural covariance networks. - Jona Carmon; Jil Heege; Joe H. Necus; Thomas W. Owen; Gordon Pipa; Marcus Kaiser; Peter Neal Taylor; Yujiang Wang 002 (NeuroImage, 2020)

Feasible and Adaptive Multimodal Trajectory Prediction with Semantic Maneuver Fusion. - Hendrik Berkemeyer; Riccardo Franceschini; Tuan Tran; Lin Che; Gordon Pipa (ICRA, 2021)

Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised. - Viviane Clay; Peter König; Gordon Pipa; Kai-Uwe Kühnberger (CoRR, 2021)

Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision. - Hristofor Lukanov; Peter König; Gordon Pipa (Frontiers Comput. Neurosci., 2021)

Learning sparse and meaningful representations through embodiment. - Viviane Clay; Peter König; Kai-Uwe Kühnberger; Gordon Pipa (Neural Networks, 2021)

Westdrive X LoopAR: An Open-Access Virtual Reality Project in Unity for Evaluating User Interaction Methods during Takeover Requests. - 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; et al. (Sensors, 2021)

Transforming the generative pretrained transformer into augmented business text writer. - Faisal Khalil; Gordon Pipa (J. Big Data, 2022)

Talking Cars, Doubtful Users - A Population Study in Virtual Reality. - Shadi Derakhshan; Farbod Nosrat Nezami; Maximilian Alexander Wächter; Artur Czeszumski; Ashima Keshava; Hristofor Lukanov; Marc Vidal De Palol; Gordon Pipa; Peter König (IEEE Trans. Hum. Mach. Syst., 2022)

Introducing a New Mobile Electroencephalography System and Evaluating Its Quality in Comparison to Clinical Electroencephalography. - Paria Samimisabet; Laura Krieger; Themis Nethar; Gordon Pipa (Sensors, 2023)

Development of Few-Shot Learning Capabilities in Artificial Neural Networks When Learning Through Self-Supervised Interaction. - Viviane Clay; Gordon Pipa; Kai-Uwe Kühnberger; Peter König (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

The impact of human agents on spatial navigation and knowledge acquisition in a virtual environment. - Tracy Sánchez Pacheco; Melissa Sarria Mosquera; Kaya Gärtner; Vincent Schmidt; Debora Nolte; Sabine U. König; Gordon Pipa; Peter König (Frontiers Virtual Real., 2025)

A Situated Inspection of Autonomous Vehicle Acceptance - A Population Study in Virtual Reality. - Shadi Derakhshan; Farbod Nosrat Nezami; Maximilian Alexander Wächter; Achim Stephan; Gordon Pipa; Peter König (Int. J. Hum. Comput. Interact., 2025)