Sophie Denève

According to our database1, Sophie Denève authored at least 23 papers between 1997 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
Learning to represent signals spike by spike.
PLoS Comput. Biol., 2020

2019
Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors].
IEEE Signal Process. Mag., 2019

2018
Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Computational Account of Spontaneous Activity as a Signature of Predictive Coding.
PLoS Comput. Biol., 2017

Sensory noise predicts divisive reshaping of receptive fields.
PLoS Comput. Biol., 2017

Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series.
Frontiers Comput. Neurosci., 2017

2015
Enforcing balance allows local supervised learning in spiking recurrent networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Bayesian Inference with Spiking Neurons.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Spatio-temporal Representations of Uncertainty in Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Predictive Coding of Dynamical Variables in Balanced Spiking Networks.
PLoS Comput. Biol., 2013

Firing rate predictions in optimal balanced networks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Learning optimal spike-based representations.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Spike-Based Population Coding and Working Memory.
PLoS Comput. Biol., 2011

2008
Online Learning with Hidden Markov Models.
Neural Comput., 2008

Bayesian Spiking Neurons II: Learning.
Neural Comput., 2008

Bayesian Spiking Neurons I: Inference.
Neural Comput., 2008

2004
Multisensory integration in multiple reference frames in the posterior parietal cortex.
Cogn. Process., 2004

Bayesian inference in spiking neurons.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2000
A New Model of Spatial Representation in Multimodal Brain Areas.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Narrow vs Wide Tuning Curves: What's Best for a Population Code?
Neural Comput., 1999

1998
Statistically Efficient Estimation Using Population Coding.
Neural Comput., 1998

Divisive Normalization, Line Attractor Networks and Ideal Observers.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Neural Basis of Object-Centered Representations.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997


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