Publication
Hybrid Representation and Visualization Methods Applied to Neuronal Microcircuits
Related publications (46)
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Neurons are characterized by thin and long interleaving arborizations in which creating accurate mesh models of their cellular membranes is challenging. While union operators are central for CAD/CAM modeling and computer graphics applications, their applic ...
The Eurographics Association2022Data-driven whole mouse brain modeling for multi-scale simulations
In this thesis, we present a data-driven iterative pipeline to generate, simulate and validate point-neuron models of the whole mouse brain. The ultimate goal is to replicate close loop experiments with a virtual body in a virtual world. This pipeline was ...
EPFL2022A Unified Framework for Neuroscience Morphological Data Visualization
The complexity of the human brain makes its understanding one of the biggest challenges that science is currently confronting. Due to its complexity, the brain has been studied at many different levels and from many disciplines and points of view, using a ...
2021Analytic performance modeling and analysis of detailed neuron simulations
Francesco Cremonesi, Gerhard Wellein
Big science initiatives are trying to reconstruct and model the brain by attempting to simulate brain tissue at larger scales and with increasingly more biological detail than previously thought possible. The exponential growth of parallel computer perform ...
2020The SONATA data format for efficient description of large-scale network models
Eilif Benjamin Muller, Werner Alfons Hilda Van Geit, Jean-Denis Georges Emile Courcol, Michael Emiel Gevaert, Adrien Michel Achille Devresse, Juan Bautista Hernando Vieites
Increasing availability of comprehensive experimental datasets and of high-performance computing resources are driving rapid growth in scale, complexity, and biological realism of computational models in neuroscience. To support construction and simulation ...
PLOS2020An efficient analytical reduction of detailed nonlinear neuron models
Felix Schürmann, Pramod Shivaji Kumbhar, Michael Emiel Gevaert, Oren Amsalem, Idan Segev, Guy Eyal
Detailed conductance-based nonlinear neuron models consisting of thousands of synapses are key for understanding of the computational properties of single neurons and large neuronal networks, and for interpreting experimental results. Simulations of these ...
2020Generating High Fidelity Surface Meshes of Neocortical Neurons using Skin Modifiers
Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Cyrille Pierre Henri Favreau, Juan Bautista Hernando Vieites, Samuel Lieven D. Lapere
We present the results of exploring the capabilities of skinning modifiers to generate high fidelity polygonal surface meshes of neurons from their morphological skeletons that are segmented from optical microscopy slides. Our algorithm is implemented in B ...
2019Computational characteristics and hardware implications of brain tissue simulations
Understanding the link between the brain's anatomy and its function through computer
simulations of neural tissue models is a widely used approach in computational neuroscience.
This technique enables rapid prototyping and testing of hypotheses, allowing r ...
EPFL2019Self-Recognition in Data Visualization: How Individuals See Themselves in Visual Representations
Dario Rodighiero, Loup Cellard
This article explores how readers recognize their personal identities represented through data visualizations. The recognition is investigated starting from three definitions captured by the philosopher Paul Ricoeur: the identification with the visualizati ...
2019Point cloud quality evaluation: Towards a definition for test conditions
Touradj Ebrahimi, Evangelos Alexiou, Rafael Xavier Meriade Duarte
Recently stakeholders in the area of multimedia representation and transmission have been looking at plenoptic technologies to improve immersive experience. Among these technologies, point clouds denote a volumetric information representation format with i ...
2019