# Jean-Pascal Pfister

According to our database

Collaborative distances:

^{1}, Jean-Pascal Pfister authored at least 16 papers between 2003 and 2019.Collaborative distances:

## Timeline

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## Bibliography

2019

Online Maximum-Likelihood Estimation of the Parameters of Partially Observed Diffusion Processes.

IEEE Trans. Automat. Contr., 2019

How to Avoid the Curse of Dimensionality: Scalability of Particle Filters with and without Importance Weights.

SIAM Review, 2019

2018

Propagation of moments in Hawkes networks.

CoRR, 2018

2017

Optimised information gathering in smartphone users.

CoRR, 2017

2016

Quantifying the priority placed on scale-free smartphone actions.

CoRR, 2016

2014

Spike-Timing-Dependent Plasticity, Learning Rules.

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Reinforcement Learning in Cortical Networks.

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2011

Sequence learning with hidden units in spiking neural networks.

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

STDP in Oscillatory Recurrent Networks: Theoretical Conditions for Desynchronization and Applications to Deep Brain Stimulation.

Front. Comput. Neurosci., 2010

STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission.

Front. Comput. Neurosci., 2010

2009

Know Thy Neighbour: A Normative Theory of Synaptic Depression.

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2007

Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution.

Neural Computation, 2007

2006

Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning.

Neural Computation, 2006

2005

Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects.

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model.

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003

Optimal Hebbian Learning: A Probabilistic Point of View.

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003