Jean-Pascal Pfister, Dr.

Affiliations: 
Physiology University of Bern, Bern, Bern, Switzerland 
Area:
Computational Neuroscience
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"Jean-Pascal Pfister"
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Publications

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Gontier C, Surace SC, Delvendahl I, et al. (2023) Efficient sampling-based Bayesian Active Learning for synaptic characterization. Plos Computational Biology. 19: e1011342
Jegminat J, Jastrzębowska MA, Pachai MV, et al. (2022) Correction: Bayesian regression explains how human participants handle parameter uncertainty. Plos Computational Biology. 18: e1009932
Jegminat J, Surace SC, Pfister JP. (2022) Learning as filtering: Implications for spike-based plasticity. Plos Computational Biology. 18: e1009721
Aitchison L, Jegminat J, Menendez JA, et al. (2021) Synaptic plasticity as Bayesian inference. Nature Neuroscience
Jegminat J, Jastrzębowska MA, Pachai MV, et al. (2020) Bayesian regression explains how human participants handle parameter uncertainty. Plos Computational Biology. 16: e1007886
Surace SC, Pfister JP, Gerstner W, et al. (2020) On the choice of metric in gradient-based theories of brain function. Plos Computational Biology. 16: e1007640
Gilson M, Pfister J. (2020) Propagation of Spiking Moments in Linear Hawkes Networks Siam Journal On Applied Dynamical Systems. 19: 828-859
Kutschireiter A, Surace SC, Pfister J. (2020) The Hitchhiker’s guide to nonlinear filtering Journal of Mathematical Psychology. 94: 102307
Bykowska O, Gontier C, Sax AL, et al. (2019) Model-Based Inference of Synaptic Transmission. Frontiers in Synaptic Neuroscience. 11: 21
Surace SC, Kutschireiter A, Pfister J. (2019) How to Avoid the Curse of Dimensionality: Scalability of Particle Filters with and without Importance Weights Siam Review. 61: 79-91
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