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Simone Carlo Surace
Simone Carlo Surace
Postdoctoral fellow, Department of Physiology, University of Bern and Institute for Neuroinformatics
Bestätigte E-Mail-Adresse bei unibe.ch
Titel
Zitiert von
Zitiert von
Jahr
Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception
A Kutschireiter, SC Surace, H Sprekeler, JP Pfister
Scientific reports 7 (1), 1-13, 2017
342017
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
272019
Approximating the predictive distribution via adversarially-trained hypernetworks
C Henning, J von Oswald, J Sacramento, SC Surace, JP Pfister, ...
Yarin, 2018
182018
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
152018
The Hitchhiker’s guide to nonlinear filtering
A Kutschireiter, SC Surace, JP Pfister
Journal of Mathematical Psychology 94, 102307, 2020
102020
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
52020
A Statistical Model for In Vivo Neuronal Dynamics
SC Surace, JP Pfister
Plos one 10 (11), e0142435, 2015
42015
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
32019
Approximate nonlinear filtering with a recurrent neural network
A Kutschireiter, SC Surace, H Sprekeler, JP Pfister
BMC Neuroscience 16 (1), 1-2, 2015
32015
The neural particle filter
A Kutschireiter, SC Surace, H Sprekeler, JP Pfister
arXiv preprint arXiv:1508.06818, 2015
32015
Point interactions in nonrelativistic quantum mechanics
SC Surace
Bachelor Thesis, Bern 5, 2010
32010
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
22019
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
22015
A neural implementation for nonlinear filtering
A Kutschireiter, SC Surace, H Sprekeler, JP Pfister
Neurons and Cognition 1508 (q-bio. NC), qbio. NC, 2015
22015
Learning as filtering: Implications for spike-based plasticity
J Jegminat, SC Surace, JP Pfister
PLoS computational biology 18 (2), e1009721, 2022
12022
Bayesian active learning for closed-loop synaptic characterization
C Gontier, SC Surace, JP Pfister
arXiv preprint arXiv:2201.07539, 2022
2022
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
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
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