| Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception A Kutschireiter, SC Surace, H Sprekeler, JP Pfister Scientific reports 7 (1), 8722, 2017 | 47 | 2017 |
| How to avoid the curse of dimensionality: Scalability of particle filters with and without importance weights SC Surace, A Kutschireiter, JP Pfister SIAM review 61 (1), 79-91, 2019 | 44 | 2019 |
| Online maximum-likelihood estimation of the parameters of partially observed diffusion processes SC Surace, JP Pfister IEEE transactions on automatic control 64 (7), 2814-2829, 2018 | 28 | 2018 |
| Approximating the predictive distribution via adversarially-trained hypernetworks C Henning, J von Oswald, J Sacramento, SC Surace, JP Pfister, ... Yarin, 2018 | 24 | 2018 |
| On the choice of metric in gradient-based theories of brain function SC Surace, JP Pfister, W Gerstner, J Brea PLoS computational biology 16 (4), e1007640, 2020 | 19 | 2020 |
| The Hitchhiker’s guide to nonlinear filtering A Kutschireiter, SC Surace, JP Pfister Journal of Mathematical Psychology 94, 102307, 2020 | 17 | 2020 |
| Gauge freedom within the class of linear feedback particle filters E Abedi, SC Surace 2019 IEEE 58th Conference on Decision and Control (CDC), 666-671, 2019 | 5 | 2019 |
| Learning as filtering: Implications for spike-based plasticity J Jegminat, SC Surace, JP Pfister PLoS computational biology 18 (2), e1009721, 2022 | 4 | 2022 |
| Approximate nonlinear filtering with a recurrent neural network A Kutschireiter, SC Surace, H Sprekeler, JP Pfister BMC Neuroscience 16, 1-2, 2015 | 4 | 2015 |
| A Statistical Model for In Vivo Neuronal Dynamics SC Surace, JP Pfister Plos one 10 (11), e0142435, 2015 | 4 | 2015 |
| Asymptotically exact unweighted particle filter for manifold-valued hidden states and point process observations SC Surace, A Kutschireiter, JP Pfister IEEE Control Systems Letters 4 (2), 480-485, 2019 | 3 | 2019 |
| The neural particle filter A Kutschireiter, SC Surace, H Sprekeler, JP Pfister arXiv preprint arXiv:1508.06818, 2015 | 3 | 2015 |
| Point interactions in nonrelativistic quantum mechanics SC Surace Bachelor Thesis, Bern 5, 2010 | 3 | 2010 |
| Towards a Functional Understanding of Short-term Plasticity and the Development of a Statistical Model of in Vivo Neuronal Dynamics SC Surace Medizinische Fakultät der Universität Bern, 2015 | 2 | 2015 |
| A neural implementation for nonlinear filtering A Kutschireiter, SC Surace, H Sprekeler, JP Pfister Neurons and Cognition 1508 (q-bio. NC), qbio. NC, 2015 | 2 | 2015 |
| Efficient sampling-based Bayesian Active Learning for synaptic characterization C Gontier, SC Surace, I Delvendahl, M Müller, JP Pfister PLoS computational biology 19 (8), e1011342, 2023 | 1 | 2023 |
| A unification of weighted and unweighted particle filters E Abedi, SC Surace, JP Pfister SIAM Journal on Control and Optimization 60 (2), 597-619, 2022 | 1 | 2022 |
| Asymptotically exact unweighted particle filter for manifold-valued hidden states and point process observations S Carlo Surace, A Kutschireiter, JP Pfister arXiv e-prints, arXiv: 1907.10143, 2019 | | 2019 |
| On the choice of metric in gradient-based theories of brain function S Carlo Surace, JP Pfister, W Gerstner, J Brea arXiv e-prints, arXiv: 1805.11851, 2018 | | 2018 |
| Online Maximum Likelihood Estimation of the Parameters of Partially Observed Diffusion Processes S Carlo Surace, JP Pfister arXiv e-prints, arXiv: 1611.00170, 2016 | | 2016 |
Jean-Pascal PfisterProfessor of Theoretical Neuroscience, Institute of Neuroinformatics, University of Zurich and ETHBestätigte E-Mail-Adresse bei ini.uzh.ch
