Gordon Pipa

According to our database1, Gordon Pipa authored at least 51 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


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

Learning sparse and meaningful representations through embodiment.
Neural Networks, 2021

Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised.
CoRR, 2021

Reliability and comparability of human brain structural covariance networks.
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

Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks.
Proceedings of the Intelligent Computing, 2020

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

Bistable Perception in Conceptor Networks.
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

A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations.
Neural Comput., 2018

Cortical Spike Synchrony as a Measure of Input Familiarity.
Neural Comput., 2017

Neuromorphic computation in multi-delay coupled models.
IBM J. Res. Dev., 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

Serial Spike Time Correlations Affect Probability Distribution of Joint Spike Events.
Frontiers Comput. Neurosci., 2016

Homeostatic Plasticity for Single Node Delay-Coupled Reservoir Computing.
Neural Comput., 2015

A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems.
Neural Comput., 2015

RM-SORN: A Reward-Modulated Self-Organizing Recurrent Neural Network.
Frontiers Comput. Neurosci., 2015

Assessing Coupling Dynamics from an Ensemble of Time Series.
Entropy, 2015

Spatiotemporal Computations of an Excitable and Plastic Brain: Neuronal Plasticity Leads to Noise-Robust and Noise-Constructive Computations.
PLoS Comput. Biol., 2014

Application of Parallel Factor Analysis (PARAFAC) to electrophysiological data.
Frontiers Neuroinformatics, 2014

Impact of Spike Train Autostructure on Probability Distribution of Joint Spike Events.
Neural Comput., 2013

Encoding Through Patterns: Regression Tree-Based Neuronal Population Models.
Neural Comput., 2013

Missing mass approximations for the partition function of stimulus driven Ising models.
Frontiers Comput. Neurosci., 2013

An Analytical Approach to Single Node Delay-Coupled Reservoir Computing.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Memory Trace in Spiking Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Mapping of Visual Receptive Fields by Tomographic Reconstruction.
Neural Comput., 2012

Applying the Multivariate Time-Rescaling Theorem to Neural Population Models.
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

Spike Train Auto-Structure Impacts Post-Synaptic Firing and Timing-Based Plasticity.
Frontiers Comput. Neurosci., 2011

Higher Order Spike Synchrony in Prefrontal Cortex during Visual Memory.
Frontiers Comput. Neurosci., 2011

Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?
Frontiers Comput. Neurosci., 2011

Emerging Bayesian Priors in a Self-Organizing Recurrent Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking.
Neural Comput., 2010

SORN: a self-organizing recurrent neural network.
Frontiers Comput. Neurosci., 2009

EEG under anesthesia - Feature extraction with TESPAR.
Comput. Methods Programs Biomed., 2009

NeuroXidence: reliable and efficient analysis of an excess or deficiency of joint-spike events.
J. Comput. Neurosci., 2008

Contour Integration and Synchronization in Neuronal Networks of the Visual Cortex.
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

Predictive Coding in Cortical Microcircuits.
Proceedings of the Artificial Neural Networks, 2008

Fading memory and time series prediction in recurrent networks with different forms of plasticity.
Neural Networks, 2007

Validation of task-related excess of spike coincidences based on NeuroXidence.
Neurocomputing, 2007

Importance of electrophysiological signal features assessed by classification trees.
Neurocomputing, 2007

Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying.
Proceedings of the Artificial Neural Networks, 2007

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 ESANN 2006, 2006

Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

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