Publications

 

Articles

Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception.
Kutschireiter, A., Surace, S.C., Sprekeler, H, and Pfister, J.P. (2017)
Nature Scientific Report [Journal], [PDF]

To tap or not to tap: a model-based quantification of the priority placed on smartphone actions.
Pfister, J.P. and Ghosh, A. (2017)
[ArXiv], [PDF]

Optimised information gathering in smartphone users.
Ghosh, A., Pfister, J. P., and Cook, M. (2017)
[ArXiv], [PDF]

Online Maximum Likelihood Estimation of the Parameters of Partially Observed Diffusion Processes.
Surace, S.C and Pfister, J.P. (2016)
NIPS Time Series Workshop 2016, [ArXiv], [PDF]

A statistical model for in vivo neuronal dynamics.
Surace, S.C. and Pfister, J.P. (2015)
PLoS ONE, 10(11): e0142435[Journal], [PDF]

Spike-Timing Dependent Plasticity, Learning Rules.
Senn W. and Pfister J.P. (2014)
Encyclopedia of Computational Neuroscience, Springer [Journal], [Preprint]

Reinforcement learning in cortical networks.
Senn W. and Pfister J.P. (2014)
Encyclopedia of Computational Neuroscience, Springer [Journal], [Preprint]

A statistical model for in vivo neuronal dynamics.
Surace S.C. and Pfister J.P. (2014)
arXiv:1411.7635 [q-bio.NC] [Journal], [PDF]

Nerve Injury-Induced Neuropathic Pain Causes Disinhibition of the Anterior Cingulate Cortex.
Blom* S.M., Pfister* J.P., Santello M., Senn W. and Nevian T. (2014)
Journal of Neuroscience, 34(17), 5754-5764. [Journal], [PDF]

Matching Recall and Storage in Sequence Learning with Spiking Neural Networks.
Brea J., Senn W. and Pfister J.P. (2013)
Journal of Neuroscience, 33(23), 9565-9575. [Journal], [PDF]
-> Press commentary: [Unibe News]

A triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations.
Gjorgjieva J., Clopath C., Audet J. and Pfister J.P. (2011)
Proceedings of the National Academy of Science USA, 108 (48) 19383-19388 [Journal], [PDF]
-> Press commentary: [Uniaktuell]

Sequence learning with hidden units in spiking neural networks
Brea J., Senn W. and Pfister J.P. (2011)
Advances in Neural Information Processing Systems, 24, edited by J. Shawe-Taylor, R.S. Zemel, P. Bartlett, F.C.N. Pereira and K.Q. Weinberger, 1422-1430 [PDF]

STDP in Adaptive Neurons gives close-to-optimal Information Transmission
Hennequin G., Gerstner W. and Pfister J.P. (2010)
Frontiers in Computational Neuroscience 4, 22. [Journal], [PDF]

Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials
Pfister J.P., Dayan P. and Lengyel M. (2010)
Nature Neuroscience. 13 (10), 1271-1275. [Journal], [PDF], [Supp. Info]
-> [F1000 factor]

STDP in oscillatory recurrent networks: theoretical conditions for desynchronization and applications to deep brain stimulation
Pfister J.P. and Tass P.A. (2010)
Frontiers in Computational Neuroscience 4, 22. [Journal], [PDF]

Know Thy Neighbour: A Normative Theory of Synaptic Depression
Jean-Pascal Pfister, Mate Lengyel and Peter Dayan (2009)
Advances in Neural Information Processing Systems 22, edited by Y. Bengio and D. Schuurmans and J. Lafferty and C. K. I. Williams and A. Culotta, MIT Press, Cambridge MA, 1464-1472. [PDF], [Supp. Info]

Optimality Model of Unsupervised Spike-Timing Dependent Plasticity: Synaptic Memory and Weight Distribution
Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara and Wulfram Gerstner (2007)
Neural Computation, 19, 639-671. [PDF]

Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity
Jean-Pascal Pfister and Wulfram Gerstner (2006)
Journal of Neuroscience, 26, 9673-9682. [PDF], [high resolution figures], [corrigendum]

Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing  in Supervised Learning
Jean-Pascal Pfister, Taro Toyoizumi, David Barber and Wulfram Gerstner (2006)
Neural Computation, 18, 1309-1339. [PDF]

Beyond Pair-Based STDP:  a Phenomenological Rule for Spike Triplet and Frequency Effects
Jean-Pascal Pfister and Wulfram Gerstner (2006)
Advances in Neural Information Processing Systems 18, Y. Weiss and B. Schölkopf and J. Platt, MIT Press, Cambridge MA, 1083-1090 [PDF]

Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes  information transmission 
Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara and Wulfram Gerstner (2005)
PNAS, 102, 5239 5244. [PDF], [Supp. Info],[sup. fig. 6],[sup. fig. 7]

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

Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara and Wulfram Gerstner (2005)
Advances in Neural Information Processing Systems 17, L.K. Saul and Y. Weiss and L.Bottou, MIT Press, Cambridge MA, 1409-1416. [PDF]

Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing
Jean-Pascal Pfister, Taro Toyoizumi, David Barber and Wulfram Gerstner (2005)
arXiv:q-bio. NC/0502037. v1. 24 Febr. 2005. [PDF]

Optimal Hebbian Learning: A Probabilistic Point of View
Jean-Pascal Pfister, David. Barber and Wulfram Gerstner (2003)
In ICANN Proceedings, O. Kaynak, E. Alpaydin, E. Oja and L. Xu, Springer, 92-98.  [PDF]  

Thesis

Theory of Non-linear Spike-Time-Dependent Plasticity
Jean-Pascal Pfister (2006)
PhD Thesis. [PDF]


Technical reports

Classification of EEG signals a comparaison between SVM and Diffusive Neural Networks
Jean-Pascal Pfister and Wulfram Gerstner (2002)
Diploma project [PDF]

Classification of EEG signals with Support Vector Machine (SVM)
Jean-Pascal Pfister and Wulfram Gerstner (2001)
Semester project [PDF]

Désambiguïsation d'un Dictionnaire de Synonymes
Jean-Pascal Pfister Jean-Cédric Chappelier and Martin Rajman (2001)
project [PDF]

Magnetic Field Distribution in a Stepping Motor
Jean-Pascal Pfister Claude Oudet (2000)
project

Small Print


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