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Marwan Muhammad Ahmed Abdellah

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Related publications (24)

Metaball skinning of synthetic astroglial morphologies into realistic mesh models for visual analytics and in silico simulations

Henry Markram, Felix Schürmann, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Jay Coggan, Samuel Lieven D. Lapere, Nadir Roman Guerrero, Alessandro Enrico Foni, Eleftherios Zisis

Motivation: Astrocytes, the most abundant glial cells in the mammalian brain, have an instrumental role in developing neuronal circuits. They contribute to the physical structuring of the brain, modulating synaptic activity and maintaining the blood-brain ...

OXFORD UNIV PRESS2021

In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations

Henry Markram, Eilif Benjamin Muller, Michael Reimann, Marwan Muhammad Ahmed Abdellah, Taylor Howard Newton, Grigori Chevtchenko

Voltage-sensitive dye imaging (VSDI) is a powerful technique for interrogating membrane potential dynamics in assemblies of cortical neurons, but with effective resolution limits that confound interpretation. To address this limitation, we developed an in ...

Nature Research2021

Digital Reconstruction of the Neuro-Glia-Vascular Architecture

Henry Markram, Kathryn Hess Bellwald, Lida Kanari, Felix Schürmann, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Alexis Arnaudon, Corrado Cali, Michael Emiel Gevaert, Thomas Brice Delemontex

Astrocytes connect the vasculature to neurons mediating the supply of nutrients and biochemicals. They are involved in a growing number of physiological and pathophysiological processes that result from biophysical, physiological, and molecular interaction ...

OXFORD UNIV PRESS INC2021

Interactive visualization and analysis of morphological skeletons of brain vasculature networks with VessMorphoVis

Henry Markram, Felix Schürmann, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Jean-Denis Georges Emile Courcol, Jay Coggan, Samuel Lieven D. Lapere, Nadir Roman Guerrero, Benoît Jean-Albert Coste

Motivation: Accurate morphological models of brain vasculature are key to modeling and simulating cerebral blood flow in realistic vascular networks. This in silico approach is fundamental to revealing the principles of neurovascular coupling. Validating t ...

OXFORD UNIV PRESS2020

Generating High Fidelity Surface Meshes of Neocortical Neurons using Skin Modifiers

Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Juan Bautista Hernando Vieites, Cyrille Pierre Henri Favreau, 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 ...

2019

High Fidelity Visualization of Large Scale Digitally Reconstructed Brain Circuitry with Signed Distance Functions

Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Sébastien Nicolas Speierer, Samuel Lieven D. Lapere, Alessandro Enrico Foni, Jonas Kristofer Karlsson

We explore a first proof-of-concept application for visualizing large scale digitally reconstructed brain circuitry using signed distance functions. The significance of our method is demonstrated in comparison with using implicit geometry that is limited t ...

IEEE2019

Objective Morphological Classification of Neocortical Pyramidal Cells

Henry Markram, Kathryn Hess Bellwald, Srikanth Ramaswamy, Rodrigo de Campos Perin, Lida Kanari, Ying Shi, Julie Meystre, Marwan Muhammad Ahmed Abdellah, Yun Wang

A consensus on the number of morphologically different types of pyramidal cells (PCs) in the neocortex has not yet been reached, despite over a century of anatomical studies, due to the lack of agreement on the subjective classifications of neuron types, w ...

Oxford University Press (OUP)2019

A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble

Pierre Magistretti, Henry Markram, Felix Schürmann, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Renaud Jolivet, Corrado Cali, Stefan Eilemann, Jay Coggan, Daniya Boges

One will not understand the brain without an integrated exploration of structure and function, these attributes being two sides of the same coin: together they form the currency of biological computation. Accordingly, biologically realistic models require ...

2018

Bio-physically plausible visualization of highly scattering fluorescent neocortical models for in silico experimentation

Henry Markram, Julian Charles Shillcock, Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Stefan Eilemann, Ahmet Bilgili

Background: We present a visualization pipeline capable of accurate rendering of highly scattering fluorescent neocortical neuronal models. The pipeline is mainly developed to serve the computational neurobiology community. It allows the scientists to visu ...

2017

In Silico Brain Imaging Physically-plausible Methods for Visualizing Neocortical Microcircuitry