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Matthias Mietsch

Showing results (11-20 of 21) with videos related to

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Nature|November 20, 2024
Nonlinear receptive fields evoke redundant retinal coding of natural scenesDimokratis Karamanlis, Mohammad H Khani, Helene M Schreyer, et al.
Primate Biology|February 29, 2020
Revisiting a quarter of a century of simian immunodeficiency virus (SIV)-associated cardiovascular diseases at the German Primate CenterMatthias Mietsch, Ulrike Sauermann, Kerstin Mätz-Rensing, et al.
Plos Computational Biology|May 2, 2025
Filter-based models of suppression in retinal ganglion cells: Comparison and generalization across species and stimuliNeda Shahidi, Fernando Rozenblit, Mohammad H Khani, et al.
Biology|August 26, 2023
Functional Cardiovascular Characterization of the Common Marmoset (<i>Callithrix jacchus</i>)Lina Klösener, Sabine Samolovac, Ina Barnekow, et al.
Plos Computational Biology|September 3, 2024
Applying Super-Resolution and Tomography Concepts to Identify Receptive Field Subunits in the RetinaSteffen Krüppel, Mohammad H Khani, Helene M Schreyer, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|June 20, 2023
Diversity of Ganglion Cell Responses to Saccade-Like Image Shifts in the Primate RetinaSteffen Krüppel, Mohammad H Khani, Dimokratis Karamanlis, et al.
European Radiology Experimental|December 4, 2023
Evaluation of MR-safe bioptomes for MR-guided endomyocardial biopsy in minipigs: a potential radiation-free clinical approachAngelika Svetlove, Christian O Ritter, Christian Dullin, et al.
Plos Computational Biology|April 7, 2026
Modeling spatial contrast sensitivity in responses of primate retinal ganglion cells to natural moviesShashwat Sridhar, Michaela Vystrčilová, Mohammad H Khani, et al.
Eneuro|March 19, 2026
Spatial adaptation of primate retinal ganglion cells between artificial and natural stimuliMichaela Vystrčilová, Shashwat Sridhar, Max F Burg, et al.
Journal of the American Society of Nephrology : JASN|November 6, 2020
Deep Learning-Based Segmentation and Quantification in Experimental Kidney HistopathologyNassim Bouteldja, Barbara M Klinkhammer, Roman D Bülow, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Nature|November 20, 2024
Nonlinear receptive fields evoke redundant retinal coding of natural scenesDimokratis Karamanlis, Mohammad H Khani, Helene M Schreyer, et al.
Primate Biology|February 29, 2020
Revisiting a quarter of a century of simian immunodeficiency virus (SIV)-associated cardiovascular diseases at the German Primate CenterMatthias Mietsch, Ulrike Sauermann, Kerstin Mätz-Rensing, et al.
Plos Computational Biology|May 2, 2025
Filter-based models of suppression in retinal ganglion cells: Comparison and generalization across species and stimuliNeda Shahidi, Fernando Rozenblit, Mohammad H Khani, et al.
Biology|August 26, 2023
Functional Cardiovascular Characterization of the Common Marmoset (<i>Callithrix jacchus</i>)Lina Klösener, Sabine Samolovac, Ina Barnekow, et al.
Plos Computational Biology|September 3, 2024
Applying Super-Resolution and Tomography Concepts to Identify Receptive Field Subunits in the RetinaSteffen Krüppel, Mohammad H Khani, Helene M Schreyer, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|June 20, 2023
Diversity of Ganglion Cell Responses to Saccade-Like Image Shifts in the Primate RetinaSteffen Krüppel, Mohammad H Khani, Dimokratis Karamanlis, et al.
European Radiology Experimental|December 4, 2023
Evaluation of MR-safe bioptomes for MR-guided endomyocardial biopsy in minipigs: a potential radiation-free clinical approachAngelika Svetlove, Christian O Ritter, Christian Dullin, et al.
Plos Computational Biology|April 7, 2026
Modeling spatial contrast sensitivity in responses of primate retinal ganglion cells to natural moviesShashwat Sridhar, Michaela Vystrčilová, Mohammad H Khani, et al.
Eneuro|March 19, 2026
Spatial adaptation of primate retinal ganglion cells between artificial and natural stimuliMichaela Vystrčilová, Shashwat Sridhar, Max F Burg, et al.
Journal of the American Society of Nephrology : JASN|November 6, 2020
Deep Learning-Based Segmentation and Quantification in Experimental Kidney HistopathologyNassim Bouteldja, Barbara M Klinkhammer, Roman D Bülow, et al.
Pageof 3