| 2008 |
|---|
| 9 | EE | Sophie Deneve:
Bayesian Spiking Neurons II: Learning.
Neural Computation 20(1): 118-145 (2008) |
| 8 | EE | Sophie Deneve:
Bayesian Spiking Neurons I: Inference.
Neural Computation 20(1): 91-117 (2008) |
| 7 | EE | Gianluigi Mongillo,
Sophie Deneve:
Online Learning with Hidden Markov Models.
Neural Computation 20(7): 1706-1716 (2008) |
| 2004 |
|---|
| 6 | EE | Sophie Deneve:
Bayesian inference in spiking neurons.
NIPS 2004 |
| 2000 |
|---|
| 5 | | Sophie Deneve,
Jean-Rene Duhamel,
Alexandre Pouget:
A New Model of Spatial Representation in Multimodal Brain Areas.
NIPS 2000: 117-123 |
| 1999 |
|---|
| 4 | | Alexandre Pouget,
Sophie Deneve,
Jean-Christophe Ducom,
Peter E. Latham:
Narrow vs Wide Tuning Curves: What's Best for a Population Code?
Neural Computation 11(1): 85-90 (1999) |
| 1998 |
|---|
| 3 | EE | Sophie Deneve,
Alexandre Pouget,
Peter E. Latham:
Divisive Normalization, Line Attractor Networks and Ideal Observers.
NIPS 1998: 104-110 |
| 2 | | Alexandre Pouget,
Kechen Zhang,
Sophie Deneve,
Peter E. Latham:
Statistically Efficient Estimation Using Population Coding.
Neural Computation 10(2): 373-401 (1998) |
| 1997 |
|---|
| 1 | | Sophie Deneve,
Alexandre Pouget:
Neural Basis of Object-Centered Representations.
NIPS 1997 |
