2007 |
10 | EE | Richard H. R. Hahnloser:
Cross-intensity functions and the estimate of spike-time jitter.
Biological Cybernetics 96(5): 497-506 (2007) |
2005 |
9 | EE | Márton Danóczy,
Richard H. R. Hahnloser:
Efficient estimation of hidden state dynamics from spike trains.
NIPS 2005 |
2003 |
8 | EE | Richard H. R. Hahnloser,
H. Sebastian Seung,
Jean-Jacques E. Slotine:
Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks.
Neural Computation 15(3): 621-638 (2003) |
2002 |
7 | EE | Xiaohui Xie,
Richard H. R. Hahnloser,
H. Sebastian Seung:
Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition.
Neural Computation 14(11): 2627-2646 (2002) |
6 | EE | Richard H. R. Hahnloser,
Rodney J. Douglas,
Klaus Hepp:
Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control.
Neural Computation 14(7): 1669-1689 (2002) |
2001 |
5 | EE | Richard H. R. Hahnloser,
Xiaohui Xie,
H. Sebastian Seung:
A theory of neural integration in the head-direction system.
NIPS 2001: 221-228 |
2000 |
4 | | Richard H. R. Hahnloser,
H. Sebastian Seung:
Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks.
NIPS 2000: 217-223 |
3 | | Xiaohui Xie,
Richard H. R. Hahnloser,
H. Sebastian Seung:
Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks.
NIPS 2000: 350-356 |
1999 |
2 | EE | Regina Mudra,
Richard H. R. Hahnloser,
Rodney J. Douglas:
Integrating Neuromorphic Action-Oriented Perceptual Inputs to Generate a Navigation Behaviour for a Robot.
Int. J. Neural Syst. 9(5): 411-416 (1999) |
1998 |
1 | EE | Richard H. R. Hahnloser:
On the piecewise analysis of networks of linear threshold neurons.
Neural Networks 11(4): 691-697 (1998) |