Profile

Research

Publications

CV

Aree Witoelar


Postdoctoral Fellow
Kavli Institute for Systems Neuroscience, NTNU

Publications

Journals

J.J. Couey, A. Witoelar, S.-J. Zhang, K. Zheng, J. Ye, B. Dunn, R. Czajkowski, M.-B. Moser, E.I. Moser, Y. Roudi and M.P. Witter. Recurrent inhibitory circuitry as a mechanism for grid formation. Nature Neuroscience 16, p. 318-328, 2013. doi:10.1038/nn.3310

A.Witoelar. Statistical physics of learning vector quantization. PhD thesis, University of Groningen, 2010. doi: ppn/327281332

A. Witoelar, G.J. de Vries, A. Ghosh, B. Hammer and M. Biehl, Window-based example selection of learning vector quantization, Neural Computation, Vol. 22, No. 11, p. 2924-2961, 2010. doi: 10.1162/NECO a 00030

A. Witoelar and M. Biehl, Phase transitions in Vector Quantization and Neural Gas, Neurocomputing 72, p. 1390-1397, 2009. doi: 10.1016/j.neucom.2008.10.023

A. Witoelar, M. Biehl, A. Ghosh and B. Hammer, Learning Dynamics of Neural Gas and Vector Quantization. Neurocomputing 71, p. 1210-1219, 2008. doi:10.1016/j.neucom.2007.11.022

Proceedings

A. Witoelar and Y. Roudi, Neural network reconstruction using kinetic Ising models with memory. BMC Neuroscience 2011, 12(Suppl 1):P274.

A. Witoelar, M. Biehl and B. Hammer. Equilibrium properties of offline LVQ. In M. Verleysen, editor, Proc. Of European Symposium on Neural Networks (ESANN) 2009, d-side, Evere, Belgium, 535-540, 2009.

A. Witoelar, A. Ghosh and M. Biehl. Phase transitions in Vector Quantization. In M. Verleysen, editor, Proc. Of European Symposium on Neural Networks (ESANN) 2008, d-side, Evere, Belgium, 221-226, 2008.

A.Witoelar, M. Biehl and B. Hammer. Learning Vector Quantization: generalization ability and dynamics of competing prototypes. In Proc. of 6th Int. Workshop on Self-Organizing Maps (WSOM), Bielefeld, 2007.

A. Witoelar, M. Biehl, A. Ghosh and B. Hammer. On the Dynamics of Vector Quantization and Neural Gas. In M. Verleysen, editor, Proc. of European Symposium on Neural Networks (ESANN) 2007, d-side, Evere, Belgium, 127-132, 2007.

Posters

B. Dunn, A. Witoelar, J.J. Couey, T. Bonnevie, M.-B. Moser, E.I. Moser, M.P.Witter and Y. Roudi. An inhibitory network of grid cells. Society for Neuroscience 2012.

J.J. Couey, A. Witoelar, S.-J. Zhang, R. Czajkowski, B. Dunn, J. Ye, M.-B. Moser, E.I. Moser, Y. Roudi, M.P. Witter. Medial entorhinal cortex layer II stellate cells are embedded within a recurrent inhibitory network. Society for Neuroscience 2012.

B. Dunn, A. Witoelar, J.J. Couey, M.-B. Moser, E.I. Moser, M.P. Witter and Y. Roudi. Grid Cells emerge from a competitive network. 8th FENS Forum of Neuroscience, 2012

A. Witoelar and Y. Roudi. Neural network reconstruction using kinetic Ising models with memory. BMC Neuroscience 2011, 12(Suppl 1):P274.

A. Witoelar, M. Biehl and B. Hammer. Equilibrium properties of offline Learning Vector Quantization. Scientific ICT Research Event Netherlands (SIREN), Enschede, the Netherlands, 2009.

A. Witoelar, M. Biehl and A. Ghosh. Dynamics of Multiple Prototype LVQ. Scientific ICT Research Event Netherlands (SIREN), Utrecht, the Netherlands, 2006.

M. Biehl, A. Ghosh and A. Witoelar. Learning from examples in Neural Gas and Vector Quantization, DPG Frhjahrstagung, Dresden, Germany, 2006.