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Michael Deistler

Showing results (1-10 of 10) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|October 24, 2022
Energy-efficient network activity from disparate circuit parametersMichael Deistler, Jakob H Macke, Pedro J Gonçalves
Arxiv|September 29, 2025
Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordingsIan Christopher Tanoh, Michael Deistler, Jakob H Macke, et al.
Biorxiv : the Preprint Server for Biology|October 28, 2024
From Simulations to Inference: Using Machine Learning to Tune Patient-Specific Finite-Element Models of the Middle Ear Towards Objective DiagnosisHamid Motallebzadeh, Michael Deistler, Florian M Schönleitner, et al.
Scientific Reports|November 3, 2025
Simulation-based inference for subject-specific tuning of middle ear finite-element models towards personalized objective diagnosisHamid Motallebzadeh, Michael Deistler, Florian M Schönleitner, et al.
Medical Image Analysis|May 1, 2025
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical BayesJ P Manzano-Patrón, Michael Deistler, Cornelius Schröder, et al.
Medical Image Analysis|April 15, 2026
Corrigendum to "Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes" [Medical Image Analysis 103 (2025) 103580]Jose Pedro Manzano-Patron, Michael Deistler, Cornelius Schröder, et al.
Biorxiv : the Preprint Server for Biology|January 13, 2025
Combined statistical-biophysical modeling links ion channel genes to physiology of cortical neuron typesYves Bernaerts, Michael Deistler, Pedro J Gonçalves, et al.
Patterns (New York, N.Y.)|October 27, 2025
Combined statistical-biophysical modeling links ion channel genes to physiology of cortical neuron typesYves Bernaerts, Michael Deistler, Pedro J Gonçalves, et al.
Nature Methods|November 13, 2025
JAXLEY: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamicsMichael Deistler, Kyra L Kadhim, Matthijs Pals, et al.
Elife|September 17, 2020
Training deep neural density estimators to identify mechanistic models of neural dynamicsPedro J Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Proceedings of the National Academy of Sciences of the United States of America|October 24, 2022
Energy-efficient network activity from disparate circuit parametersMichael Deistler, Jakob H Macke, Pedro J Gonçalves
Arxiv|September 29, 2025
Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordingsIan Christopher Tanoh, Michael Deistler, Jakob H Macke, et al.
Biorxiv : the Preprint Server for Biology|October 28, 2024
From Simulations to Inference: Using Machine Learning to Tune Patient-Specific Finite-Element Models of the Middle Ear Towards Objective DiagnosisHamid Motallebzadeh, Michael Deistler, Florian M Schönleitner, et al.
Scientific Reports|November 3, 2025
Simulation-based inference for subject-specific tuning of middle ear finite-element models towards personalized objective diagnosisHamid Motallebzadeh, Michael Deistler, Florian M Schönleitner, et al.
Medical Image Analysis|May 1, 2025
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical BayesJ P Manzano-Patrón, Michael Deistler, Cornelius Schröder, et al.
Medical Image Analysis|April 15, 2026
Corrigendum to "Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes" [Medical Image Analysis 103 (2025) 103580]Jose Pedro Manzano-Patron, Michael Deistler, Cornelius Schröder, et al.
Biorxiv : the Preprint Server for Biology|January 13, 2025
Combined statistical-biophysical modeling links ion channel genes to physiology of cortical neuron typesYves Bernaerts, Michael Deistler, Pedro J Gonçalves, et al.
Patterns (New York, N.Y.)|October 27, 2025
Combined statistical-biophysical modeling links ion channel genes to physiology of cortical neuron typesYves Bernaerts, Michael Deistler, Pedro J Gonçalves, et al.
Nature Methods|November 13, 2025
JAXLEY: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamicsMichael Deistler, Kyra L Kadhim, Matthijs Pals, et al.
Elife|September 17, 2020
Training deep neural density estimators to identify mechanistic models of neural dynamicsPedro J Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, et al.
Pageof 1