Dr André Grüning
10/2004 — 09/2007
Research fellow in Alessandro Treves' Computational Neuroscience Group at SISSA, Trieste, Italy.
04/2004 — 09/2004
Ph.D. (Dr. rer. nat.) in Computer Science, University of Leipzig.
Member of the Neural Networks and Cognitive Systems group (head: Jürgen Jost and Thomas Wennekers) at the Max-Planck-Institute for Mathematics in the Sciences, Leipzig, Germany.
Diploma (equiv. M.Sc.) in Theoretical Physics, University of Göttingen.
10/1993 — 02/2000:
UG and PG Studies of physics and mathematics at the University of Göttingen, Germany, and, for the academic year 1995/6 (Erasmus Exchange Programme), at University of Uppsala, Sweden.
My research interests include:
- analogue natural computation; dynamical systems as computers and computers as dynamical systems, complexity measures for natural language.
- cognitive modelling, connectionism, language processing
- transportation system (such as railway systems, signalling systems, traffic flow control)
- artificial neural networks, their theory and applications, learning algorithms for artificial neural networks
- biomathematics, biological modelling, evolutionary modelling, population dynamics
I am collaborating with Claudio Avignone-Rossa at Surrey's Microbial Science Division on a MILES founded project to explore Robustness Properties of Microbial Populations.
Currently I am teaching the following modules. Teaching material can be accessed via SurreyLearn:
I currently have the following admin roles.
- Level 2 Coordinator.
- Academic Integrity Officer
- Fire Marshal for Building BB02
Contact the press team
Phone: +44 (0)1483 684380 / 688914 / 684378
Out-of-hours: +44 (0)7773 479911
Senate House, University of Surrey
Guildford, Surrey GU2 7XH
A. Grüning and A. Vinayak PG. The accumulation theory of ageing. Preprint, 2011.
N. Yusoff, I. Sporea and A. Grüning. Neural networks in cognitive science -- an introduction. In P. Lio and D. Verma (eds.), Biologically Inspired Networking and Sensing: Algorithms and Architectures. IGI Global, Hershey, PA, 2011.
N. Yusoff and A. Grüning. Supervised associative learning in spiking neural network. In K. Diamantaras, W. Duch and L. Iliadis (eds.), ICANN (1), vol. 6352 of Lecture Notes in Computer Science, pp. 224--229. Springer, 2010.
I. Sporea and A. Grüning. Modelling the McGurk} effect. In ESANN 2010 proceedings, European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning. Brugge, 2010. Preprint.
I. Sporea and A. Grüning. A distributed model of memory for the McGurk effect. In Proceedings of the International Joint Conference on Neural Networks (IJCNN). IEEE, Barcelona, 2010. Preprint.
N. Yusoff, A. Grüning and A. Browne. Modelling the Stroop Effect: Dynamics in inhibition of automatic stimuli processing. In Proceedings of the 2nd International Conference in Cognitive Neurodynamics (ICCN 2009), Lecture Notes in Computer Science. Springer, 2009. Preprint.
I. Sporea and A. Grüning. Modelling of the McGurk effect. In Frontiers in Behavioral Neuroscience. Conference Abstract: 41st European Brain and Behaviour Society Meeting. 2009.
N. Yusoff, A. Grüning and T. Browne. Competition and cooperation in colour-word Stroop Effect: An association approach. In Frontiers in Behavioral Neuroscience. Conference Abstract: 41st European Brain and Behaviour Society Meeting. 2009.
A. Grüning. Elman backpropagation as reinforcement for simple recurrent networks. Neural Computation, 19(11), 3108--3131, 2007, Preprint.
A. Grüning. Stack- and queue-like dynamics in recurrent neural networks. Connection Science, 18(1), 23--42, 2006.
A. Grüning and A. Treves. Distributed neural blackboards could be more attractive. Behavioral and Brain Sciences, 29(1), 79--80, 2006, Preprint.
A. Grüning. Back-propagation as reinforcement in prediction tasks. In W. Duch, J. Kacprzyk, E. Oja and S. Zadrozny (eds.), Proceedings of the International Conference on Artificial Neural Networks (ICANN'05), vol. 3697 of LNCS, pp. 547--552. Springer, Berlin, Heidelberg, 2005. Preprint.
A. Grüning. Dynamic representations of stack- and queue-like syntactic structures. In A. Cangelosi, G. Bugmann and R. Borisyuk (eds.), Proceedings of the Ninth Neural Computation and Psychology Workshop Modelling Language, Cognition, and Action (NCPW9). World Scientific, New Jersey, 2005.
A. Grüning and A. A. Kibrik. Modeling referential choice in discourse: A cognitive calculative approach and a neural network approach. In Antonio Branco, T. McEnery and R. Mitkov (eds.), Anaphora Processing: Linguistic, Cognitive and Computational Modelling. John Benjamins, Amsterdam, 2004. Preprint.
A. Grüning and A. A. Kibrik. A neural network approach to referential choice. In I. Kobozeva, N. Laufer and V. Selegey (eds.), Computational Linguistics and Intellectual Technologies -- Proceedings of the Dialogue 2003 International Conference, Protvino, pp. 260--266. Nauka, Moscow, 2003.
A. Grüning and A. A. Kibrik. Referential choice and activation factors: A neural network approach. In A. Branco, T. McEnery and R. Mitkov (eds.), Proceedings of the 4th Discourse Anaphora and Anaphor Resolution Colloquium (DAARC 2002). Edições Colibri, Lisbon, 2002.
A. Grüning. Ladungssektoren positiver Energie im Hochenergielimes des Schwinger-Modells [Charge sectors of positive energy in the high energy limit of the Schwinger model]. Diploma (Master's) thesis, Institute for Theoretical Physics, University of Göttingen, 1999.