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2020 – today
- 2022
[j10]Axel Hutt, André Grüning, Alex Hansen, Thomas Hartung
, Raina Robeva:
Editorial: Machine Learning in Natural Complex Systems. Frontiers Appl. Math. Stat. 8: 869999 (2022)- 2021
- [j9]Brian Gardner, André Grüning:
Supervised Learning With First-to-Spike Decoding in Multilayer Spiking Neural Networks. Frontiers Comput. Neurosci. 15: 617862 (2021) - 2020
- [i8]Andrew W. Stephan, Brian Gardner, Steven J. Koester, André Grüning:
Supervised Learning in Temporally-Coded Spiking Neural Networks with Approximate Backpropagation. CoRR abs/2007.13296 (2020) - [i7]Brian Gardner, André Grüning:
Supervised Learning with First-to-Spike Decoding in Multilayer Spiking Neural Networks. CoRR abs/2008.06937 (2020)
2010 – 2019
- 2019
- [j8]Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang:
Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors]. IEEE Signal Process. Mag. 36(6): 12-15 (2019) - [j7]Hyeryung Jang, Osvaldo Simeone, Brian Gardner, André Grüning:
An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications. IEEE Signal Process. Mag. 36(6): 64-77 (2019) - [i6]Hyeryung Jang, Osvaldo Simeone, Brian Gardner, André Grüning:
An Introduction to Probabilistic Spiking Neural Networks. CoRR abs/1910.01059 (2019) - 2017
- [j6]Joseph Chrol-Cannon, Yaochu Jin, André Grüning:
An efficient method for online detection of polychronous patterns in spiking neural networks. Neurocomputing 267: 644-650 (2017) - [i5]Joseph Chrol-Cannon, Yaochu Jin, André Grüning:
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network. CoRR abs/1702.05939 (2017) - 2016
- [i4]Brian Gardner, André Grüning:
Optimal Supervised Learning in Spiking Neural Networks for Precise Temporal Encoding. CoRR abs/1601.03649 (2016) - 2015
- [j5]Brian Gardner, Ioana Sporea, André Grüning:
Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks. Neural Comput. 27(12): 2548-2586 (2015) - [c17]Panagiotis Ioannou, Matthew Casey, André Grüning:
Spike-timing neuronal modelling of forgetting in immediate serial recall. IJCNN 2015: 1-8 - [i3]Brian Gardner, Ioana Sporea, André Grüning:
Encoding Spike Patterns in Multilayer Spiking Neural Networks. CoRR abs/1503.09129 (2015) - 2014
- [c16]Brian Gardner, André Grüning:
Classifying Patterns in a Spiking Neural Network. ESANN 2014 - [c15]André Grüning, Sander M. Bohté:
Spiking Neural Networks: Principles and Challenges. ESANN 2014 - [c14]Panagiotis Ioannou, Matthew Casey, André Grüning:
Factors Influencing Polychronous Group Sustainability as a Model of Working Memory. ICANN 2014: 723-731 - [c13]Brian Gardner, Ioana Sporea, André Grüning:
Classifying Spike Patterns by Reward-Modulated STDP. ICANN 2014: 749-756 - 2013
- [j4]Ioana Sporea, André Grüning:
Supervised Learning in Multilayer Spiking Neural Networks. Neural Comput. 25(2): 473-509 (2013) - [c12]Brian Gardner, André Grüning:
Learning Temporally Precise Spiking Patterns through Reward Modulated Spike-Timing-Dependent Plasticity. ICANN 2013: 256-263 - 2012
- [j3]André Grüning, Ioana Sporea:
Supervised Learning of Logical Operations in Layered Spiking Neural Networks with Spike Train Encoding. Neural Process. Lett. 36(2): 117-134 (2012) - [c11]Nooraini Yusoff, André Grüning, Scott V. Notley:
Pair-Associate Learning with Modulated Spike-Time Dependent Plasticity. ICANN (1) 2012: 137-144 - [c10]Panagiotis Ioannou, Matthew Casey, André Grüning:
Evaluating the Effect of Spiking Network Parameters on Polychronization. ICANN (1) 2012: 255-263 - [c9]Ioana Sporea, André Grüning:
Classification of Distorted Patterns by Feed-Forward Spiking Neural Networks. ICANN (1) 2012: 264-271 - [c8]Nooraini Yusoff, André Grüning:
Learning Anticipation through Priming in Spatio-temporal Neural Networks. ICONIP (1) 2012: 168-175 - [c7]Joseph Chrol-Cannon, André Grüning, Yaochu Jin:
The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities. IJCNN 2012: 1-6 - [c6]Scott V. Notley, André Grüning:
Improved spike-timed mappings using a tri-phasic spike timing-dependent plasticity rule. IJCNN 2012: 1-6 - [p1]Nooraini Yusoff, Ioana Sporea, André Grüning:
Neural Networks in Cognitive Science. Biologically Inspired Networking and Sensing 2012: 58-83 - [i2]Ioana Sporea, André Grüning:
Supervised Learning in Multilayer Spiking Neural Networks. CoRR abs/1202.2249 (2012) - 2011
- [c5]Ioana Sporea, André Grüning:
Reference time in SpikeProp. IJCNN 2011: 1090-1092 - [i1]André Grüning, Ioana Sporea:
Supervised Learning of Logical Operations in Layered Spiking Neural Networks with Spike Train Encoding. CoRR abs/1112.0213 (2011) - 2010
- [c4]Ioana Sporea, André Grüning:
Modelling the McGurk effect. ESANN 2010 - [c3]Nooraini Yusoff, André Grüning:
Supervised Associative Learning in Spiking Neural Network. ICANN (1) 2010: 224-229 - [c2]Ioana Sporea, André Grüning:
A distributed model of memory for the McGurk effect. IJCNN 2010: 1-4
2000 – 2009
- 2007
- [j2]André Grüning:
Elman Backpropagation as Reinforcement for Simple Recurrent Networks. Neural Comput. 19(11): 3108-3131 (2007) - 2006
- [j1]André Grüning:
Stack-like and queue-like dynamics in recurrent neural networks. Connect. Sci. 18(1): 23-42 (2006) - 2005
- [c1]André Grüning:
Back-Propagation as Reinforcement in Prediction Tasks. ICANN (2) 2005: 547-552 - 2004
- [b1]André Grüning:
Neural networks and the complexity of languages. University of Leipzig, 2004, pp. 1-93
Coauthor Index
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