Personal information

synaptic plasticity, learning and memory, spike-timing dependent plasticity, Bayesian inference, Nonlinear filtering, Point processes

Activities

Employment (7)

University of Bern: Bern, CH

2018-01-01 to present | Professor (Department of Physiology)
Employment
Source: Self-asserted source
Jean-Pascal Pfister

University of Cambridge: Cambridge, GB

2021-03 to 2021-08 | Visiting professor (sabbatical) (Engineering Department)
Employment
Source: Self-asserted source
Jean-Pascal Pfister

University of Zurich, ETH Zurich: Zurich, CH

2014-09-01 to 2018-08-31 | SNF Professor (Institute of Neuroinformatics)
Employment
Source: Self-asserted source
Jean-Pascal Pfister

University of Bern: Bern, CH

2010-08 to 2014-08 | Group leader (Department of Physiology)
Employment
Source: Self-asserted source
Jean-Pascal Pfister

Harvard University: Cambridge, US

2013-04 to 2013-07 | Research visitor (sabbatical)
Employment
Source: Self-asserted source
Jean-Pascal Pfister

University of Cambridge: Cambridge, GB

2008-04-01 to 2010-07-31 | Post-doc (Engineering Department)
Employment
Source: Self-asserted source
Jean-Pascal Pfister

Helbling Technik Bern: Bern, CH

2006-09 to 2008-03 | Project manager
Employment
Source: Self-asserted source
Jean-Pascal Pfister

Education and qualifications (3)

University of Cambridge: Cambridge, Cambridgeshire, GB

2008 to 2010 | post-doc
Education
Source: Self-asserted source
Jean-Pascal Pfister

EPFL: Lausanne, CH

2002-08 to 2006-08 | PhD in Computational Neuroscience
Education
Source: Self-asserted source
Jean-Pascal Pfister

EPFL: Lausanne, CH

1997-09 to 2002-03 | Msc in Physics
Education
Source: Self-asserted source
Jean-Pascal Pfister

Funding (5)

Neural implementation of stochastic control

2021-04-01 to 2021-09-30 | Grant
Swiss National Science Foundation (Bern, CH)
GRANT_NUMBER: 198641
Source: Self-asserted source
Jean-Pascal Pfister via DimensionsWizard

Bayesian synapses

2018-10-01 to 2022-09-30 | Grant
Swiss National Science Foundation (Bern, CH)
GRANT_NUMBER: 175644
Source: Self-asserted source
Jean-Pascal Pfister via DimensionsWizard

Filtering with Spiking Neurons

2018-09-01 to 2020-08-31 | Grant
Swiss National Science Foundation (Bern, CH)
GRANT_NUMBER: 179060
Source: Self-asserted source
Jean-Pascal Pfister via DimensionsWizard

Normative theory of synaptic plasticity across multiple time scales

2011 to 2014 | Grant
Swiss National Science Foundation (Bern, CH)
GRANT_NUMBER:

PZ00P3_137200

Source: Self-asserted source
Jean-Pascal Pfister

Inference and learning with spiking neurons

Grant
Swiss National Science Foundation (Bern, CH)
GRANT_NUMBER:

PP00P3_150637

Source: Self-asserted source
Jean-Pascal Pfister

Works (35)

Scaling of ventral hippocampal activity during anxiety

2023-12-23 | Preprint
Contributors: Carlo Cerquetella; Camille Gontier; Thomas Forro; Jean-Pascal Pfister; Stéphane Ciocchi
Source: check_circle
Crossref

A Unification of Weighted and Unweighted Particle Filters

SIAM Journal on Control and Optimization
2022-04 | Journal article
Part of ISSN: 0363-0129
Part of ISSN: 1095-7138
Contributors: Ehsan Abedi; Simone Carlo Surace; Jean-Pascal Pfister
Source: Self-asserted source
Jean-Pascal Pfister

The Geometry of Uncoded Transmission for Symmetric Continuous Log-Concave Distributions

International Zurich Seminar on Information and Communication (IZS)
2022-03 | Journal article
Contributors: Hui-An Shen; Stefan Moser; Jean-Pascal Pfister
Source: Self-asserted source
Jean-Pascal Pfister

Learning as filtering: Implications for spike-based plasticity

PLOS Computational Biology
2022-02-23 | Journal article
Contributors: Jannes Jegminat; Simone Carlo Surace; Jean-Pascal Pfister
Source: Self-asserted source
Jean-Pascal Pfister
grade
Preferred source (of 2)‎

Denoising Normalizing Flow

Advances in Neural Information Processing Systems
2021 | Journal article
Contributors: Christian Horvat; Jean-Pascal Pfister
Source: Self-asserted source
Jean-Pascal Pfister

Rate-Distortion Problems of the Poisson Process: a Group-Theoretic Approach

2021 IEEE Information Theory Workshop (ITW)
2021-10 | Conference paper
Part of ISBN: 978-1-66540-312-2
Contributors: Jean-Pascal Pfister; Hui-An Shen; Stefan Moser
Source: Self-asserted source
Jean-Pascal Pfister

Sphere Covering for Poisson Processes

2020 IEEE Information Theory Workshop (ITW)
2021-04 | Conference paper
Part of ISBN: 978-1-72815-962-1
Contributors: Hui-An Shen; Stefan Moser; Jean-Pascal Pfister
Source: Self-asserted source
Jean-Pascal Pfister

Synaptic plasticity as Bayesian inference

Nature Neuroscience
2021-04 | Journal article
Part of ISSN: 1097-6256
Part of ISSN: 1546-1726
Contributors: Laurence Aitchison; Jannes Jegminat; Jorge Aurelio Menendez; Jean-Pascal Pfister; Alexandre Pouget; Peter Latham
Source: Self-asserted source
Jean-Pascal Pfister

Identifiability of a Binomial Synapse

Frontiers in Computational Neuroscience
2020-09-30 | Journal article
Part of ISSN: 1662-5188
Contributors: Camille Gontier; Jean-Pascal Pfister
Source: Self-asserted source
Jean-Pascal Pfister

Generalized priority-based model for smartphone screen touches

Physical Review E
2020-07-14 | Journal article
Contributors: Jean-Pascal Pfister; Arko Ghosh
Source: check_circle
Crossref

Bayesian regression explains how human participants handle parameter uncertainty

PLOS Computational Biology
2020-05-18 | Journal article
Contributors: Jannes Jegminat; Ronald van den Berg; Maya A. Jastrzębowska; Matthew V. Pachai; Michael H. Herzog; Jean-Pascal Pfister
Source: check_circle
Crossref

Asymptotically Exact Unweighted Particle Filter for Manifold-Valued Hidden States and Point Process Observations

IEEE Control Systems Letters
2020-04 | Journal article
Contributors: Simone Carlo Surace; Anna Kutschireiter; Jean-Pascal Pfister
Source: check_circle
Crossref

On the choice of metric in gradient-based theories of brain function

PLOS Computational Biology
2020-04-09 | Journal article
Contributors: Simone Carlo Surace; Francis Ouellette; Jean-Pascal Pfister; Wulfram Gerstner; Johanni Brea
Source: check_circle
Crossref

The Hitchhiker’s guide to nonlinear filtering

Journal of Mathematical Psychology
2020-02 | Journal article
Part of ISSN: 0022-2496
Contributors: Anna Kutschireiter; Simone Carlo Surace; Jean-Pascal Pfister
Source: Self-asserted source
Jean-Pascal Pfister

Propagation of Spiking Moments in Linear Hawkes Networks

SIAM Journal on Applied Dynamical Systems
2020-01 | Journal article
Part of ISSN: 1536-0040
Contributors: Matthieu Gilson; Jean-Pascal Pfister
Source: Self-asserted source
Jean-Pascal Pfister

Model-Based Inference of Synaptic Transmission

Frontiers in Synaptic Neuroscience
2019-08-20 | Journal article
Part of ISSN: 1663-3563
Contributors: Ola Bykowska; Camille Gontier; Anne-Lene Sax; David W. Jia; Milton Llera Montero; Alex D. Bird; Conor Houghton; Jean-Pascal Pfister; Rui Ponte Costa
Source: Self-asserted source
Jean-Pascal Pfister

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

IEEE Transactions on Automatic Control
2019-07 | Journal article
Contributors: Simone Carlo Surace; Jean-Pascal Pfister
Source: check_circle
Crossref

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

SIAM Review
2019-01 | Journal article
Part of ISSN: 0036-1445
Part of ISSN: 1095-7200
Contributors: Simone Carlo Surace; Anna Kutschireiter; Jean-Pascal Pfister
Source: Self-asserted source
Jean-Pascal Pfister

Publisher Correction: Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception

Scientific Reports
2017-12-11 | Journal article
Contributors: Anna Kutschireiter; Simone Carlo Surace; Henning Sprekeler; Jean-Pascal Pfister
Source: check_circle
Crossref

Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception

Scientific Reports
2017-08-18 | Journal article
Contributors: Anna Kutschireiter; Simone Carlo Surace; Henning Sprekeler; Jean-Pascal Pfister
Source: check_circle
Crossref

A Statistical Model for In Vivo Neuronal Dynamics.

Plos One
2015 | Journal article
Contributors: Jean-Pascal Pfister; Surace SC; Pfister JP
Source: Self-asserted source
Jean-Pascal Pfister
grade
Preferred source (of 2)‎

Nerve injury-induced neuropathic pain causes disinhibition of the anterior cingulate cortex.

Journal of Neuroscience
2014-04 | Journal article
Contributors: Jean-Pascal Pfister; Blom SM; Pfister JP; Santello M; Senn W; Nevian T
Source: Self-asserted source
Jean-Pascal Pfister
grade
Preferred source (of 2)‎

Matching recall and storage in sequence learning with spiking neural networks.

Journal of Neuroscience
2013-06 | Journal article
Contributors: Jean-Pascal Pfister; Brea J; Senn W; Pfister JP
Source: Self-asserted source
Jean-Pascal Pfister
grade
Preferred source (of 2)‎

Sequence learning with hidden units in spiking neural networks

Advances in Neural Information Processing Systems
2011 | Conference paper
URI:

https://proceedings.neurips.cc/paper/2011/file/795c7a7a5ec6b460ec00c5841019b9e9-Paper.pdf

Contributors: Johanni Brea; Walter Senn; Jean-Pascal Pfister
Source: Self-asserted source
Jean-Pascal Pfister

A triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations.

Proceedings of the National Academy of Sciences
2011-11 | Journal article
Contributors: Jean-Pascal Pfister; Gjorgjieva J; Clopath C; Audet J; Pfister JP
Source: Self-asserted source
Jean-Pascal Pfister
grade
Preferred source (of 2)‎

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

Frontiers in Computational Neuroscience
2010 | Journal article
Contributors: Jean-Pascal Pfister; Hennequin G; Gerstner W; Pfister JP
Source: Self-asserted source
Jean-Pascal Pfister
grade
Preferred source (of 2)‎

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

Frontiers in Computational Neuroscience
2010 | Journal article
Contributors: Jean-Pascal Pfister; Pfister JP; Tass PA
Source: Self-asserted source
Jean-Pascal Pfister
grade
Preferred source (of 2)‎

Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials.

Nature Neuroscience
2010-10 | Journal article
Contributors: Jean-Pascal Pfister; Pfister JP; Dayan P; Lengyel M
Source: Self-asserted source
Jean-Pascal Pfister
grade
Preferred source (of 2)‎

Know Thy Neighbour: A Normative Theory of Synaptic Depression

Advances in Neural Information Processing Systems
2009 | Journal article
Contributors: Jean-Pascal Pfister; Peter Dayan; Mate Lengyel
Source: Self-asserted source
Jean-Pascal Pfister

Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution.

Neural Computation
2007-03 | Journal article
Contributors: Jean-Pascal Pfister; Toyoizumi T; Pfister JP; Aihara K; Gerstner W
Source: Self-asserted source
Jean-Pascal Pfister
grade
Preferred source (of 2)‎

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

Advances in Neural Information Processing Systems
2006 | Journal article
Contributors: Jean-Pascal Pfister; Wulfram Gerstner
Source: Self-asserted source
Jean-Pascal Pfister

Triplets of spikes in a model of spike timing-dependent plasticity.

Journal of Neuroscience
2006-09 | Journal article
Contributors: Jean-Pascal Pfister; Pfister JP; Gerstner W
Source: Self-asserted source
Jean-Pascal Pfister
grade
Preferred source (of 2)‎

Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning.

Neural Computation
2006-06 | Journal article
Contributors: Jean-Pascal Pfister; Pfister JP; Toyoizumi T; Barber D; Gerstner W
Source: Self-asserted source
Jean-Pascal Pfister
grade
Preferred source (of 2)‎

Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission.

Proceedings of the National Academy of Sciences
2005-04 | Journal article
Contributors: Jean-Pascal Pfister; Toyoizumi T; Pfister JP; Aihara K; Gerstner W
Source: Self-asserted source
Jean-Pascal Pfister
grade
Preferred source (of 2)‎

Optimal Hebbian Learning: A Probabilistic Point of View

Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003
2003 | Book chapter
Part of ISBN: 9783540404088
Part of ISBN: 9783540449898
Part of ISSN: 0302-9743
Contributors: Jean-Pascal Pfister; David Barber; Wulfram Gerstner
Source: Self-asserted source
Jean-Pascal Pfister

Peer review (5 reviews for 5 publications/grants)

Review activity for Communications biology. (1)
Review activity for Information geometry. (1)
Review activity for Nature communications (1)
Review activity for PLoS computational biology. (1)
Review activity for Science advances. (1)