Neural networks and the complexity of languages. - André Grüning (2004)

Back-Propagation as Reinforcement in Prediction Tasks. - André Grüning (ICANN (2), 2005)

Stack-like and queue-like dynamics in recurrent neural networks. - André Grüning (Connect. Sci., 2006)

Elman Backpropagation as Reinforcement for Simple Recurrent Networks. - André Grüning (Neural Comput., 2007)

Modelling the McGurk effect. - Ioana Sporea; André Grüning (ESANN, 2010)

Supervised Associative Learning in Spiking Neural Network. - Nooraini Yusoff; André Grüning (ICANN (1), 2010)

A distributed model of memory for the McGurk effect. - Ioana Sporea; André Grüning (IJCNN, 2010)

Reference time in SpikeProp. - Ioana Sporea; André Grüning (IJCNN, 2011)

Neural Networks in Cognitive Science. - Nooraini Yusoff; Ioana Sporea; André Grüning (Biologically Inspired Networking and Sensing, 2012)

Evaluating the Effect of Spiking Network Parameters on Polychronization. - Panagiotis Ioannou; Matthew Casey 003; André Grüning (ICANN (1), 2012)

Classification of Distorted Patterns by Feed-Forward Spiking Neural Networks. - Ioana Sporea; André Grüning (ICANN (1), 2012)

Pair-Associate Learning with Modulated Spike-Time Dependent Plasticity. - Nooraini Yusoff; André Grüning; Scott V. Notley (ICANN (1), 2012)

Learning Anticipation through Priming in Spatio-temporal Neural Networks. - Nooraini Yusoff; André Grüning (ICONIP (1), 2012)

The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities. - Joseph Chrol-Cannon; André Grüning; Yaochu Jin (IJCNN, 2012)

Improved spike-timed mappings using a tri-phasic spike timing-dependent plasticity rule. - Scott V. Notley; André Grüning (IJCNN, 2012)

Supervised Learning of Logical Operations in Layered Spiking Neural Networks with Spike Train Encoding. - André Grüning; Ioana Sporea (Neural Process. Lett., 2012)

Learning Temporally Precise Spiking Patterns through Reward Modulated Spike-Timing-Dependent Plasticity. - Brian Gardner; André Grüning (ICANN, 2013)

Supervised Learning in Multilayer Spiking Neural Networks. - Ioana Sporea; André Grüning (Neural Comput., 2013)

Classifying Patterns in a Spiking Neural Network. - Brian Gardner; André Grüning (ESANN, 2014)

Spiking Neural Networks: Principles and Challenges. - André Grüning; Sander M. Bohté (ESANN, 2014)

Classifying Spike Patterns by Reward-Modulated STDP. - Brian Gardner; Ioana Sporea; André Grüning (ICANN, 2014)

Factors Influencing Polychronous Group Sustainability as a Model of Working Memory. - Panagiotis Ioannou; Matthew Casey 003; André Grüning (ICANN, 2014)

Spike-timing neuronal modelling of forgetting in immediate serial recall. - Panagiotis Ioannou; Matthew Casey 003; André Grüning (IJCNN, 2015)

Encoding Spike Patterns in Multilayer Spiking Neural Networks. - Brian Gardner; Ioana Sporea; André Grüning (CoRR, 2015)

Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks. - Brian Gardner; Ioana Sporea; André Grüning (Neural Comput., 2015)

Optimal Supervised Learning in Spiking Neural Networks for Precise Temporal Encoding. - Brian Gardner; André Grüning (CoRR, 2016)

An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network. - Joseph Chrol-Cannon; Yaochu Jin; André Grüning (CoRR, 2017)

An efficient method for online detection of polychronous patterns in spiking neural networks. - Joseph Chrol-Cannon; Yaochu Jin; André Grüning (Neurocomputing, 2017)

An Introduction to Probabilistic Spiking Neural Networks. - Hyeryung Jang; Osvaldo Simeone; Brian Gardner; André Grüning (CoRR, 2019)

An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications. - Hyeryung Jang; Osvaldo Simeone; Brian Gardner; André Grüning (IEEE Signal Process. Mag., 2019)

Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors]. - Osvaldo Simeone; Bipin Rajendran; André Grüning; Evangelos Eleftheriou; Mike Davies 002; Sophie Denève; Guang-Bin Huang (IEEE Signal Process. Mag., 2019)

Supervised Learning in Temporally-Coded Spiking Neural Networks with Approximate Backpropagation. - Andrew W. Stephan; Brian Gardner; Steven J. Koester; André Grüning (CoRR, 2020)

Supervised Learning With First-to-Spike Decoding in Multilayer Spiking Neural Networks. - Brian Gardner; André Grüning (Frontiers Comput. Neurosci., 2021)

Editorial: Machine Learning in Natural Complex Systems. - Axel Hutt; André Grüning; Alex Hansen; Thomas Hartung; Raina Robeva (Frontiers Appl. Math. Stat., 2022)