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Henry Markram

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Publications associées (169)

Cell-type-specific densities in mouse somatosensory cortex derived from scRNA-seq and in situ RNA hybridization

Henry Markram, Daniel Keller

Cells in the mammalian cerebral cortex exhibit layer-dependent patterns in their distribution. Classical methods of determining cell type distributions typically employ a painstaking process of large-scale sampling and characterization of cellular composit ...

FRONTIERS MEDIA SA2023

Mapping of morpho-electric features to molecular identity of cortical inhibitory neurons

Henry Markram, Srikanth Ramaswamy, Daniel Keller, Michael Reimann, Yann Roussel, Dimitri Bruno Marie Rodarie, Tanguy Pierre Louis Damart

Author summaryThe computational abilities of the brain arise from its organization principles at the cellular level. One of these principles is the neuronal type composition over different regions. Since computational functions of neurons are best describe ...

2023

Computational synthesis of cortical dendritic morphologies

Kathryn Hess Bellwald, Henry Markram, Alexis Arnaudon, Julian Charles Shillcock, Werner Alfons Hilda Van Geit, Lida Kanari, Benoît Jean-Albert Coste, Hugo Thabo Dictus

Neuronal morphologies provide the foundation for the electrical behavior of neurons, the connectomes they form, and the dynamical properties of the brain. Comprehensive neuron models are essential for defining cell types, discerning their functional roles, ...

CELL PRESS2022

Strong and reliable synaptic communication between pyramidal neurons in adult human cerebral cortex

Henry Markram, Felix Schürmann, Lida Kanari, Natali Barros Zulaica

Synaptic transmission constitutes the primary mode of communication between neurons. It is extensively studied in rodent but not human neocortex. We characterized synaptic transmission between pyramidal neurons in layers 2 and 3 using neurosurgically resec ...

OXFORD UNIV PRESS INC2022

A method to estimate the cellular composition of the mouse brain from heterogeneous datasets

Henry Markram, Srikanth Ramaswamy, Daniel Keller, Michael Reimann, Marc-Oliver Gewaltig, Yann Roussel, Dimitri Bruno Marie Rodarie

The mouse brain contains a rich diversity of inhibitory neuron types that have been characterized by their patterns of gene expression. However, it is still unclear how these cell types are distributed across the mouse brain. We developed a computational m ...

2022

Representing stimulus information in an energy metabolism pathway

Henry Markram, Felix Schürmann, Daniel Keller, Jay Coggan

We explored a computational model of astrocytic energy metabolism and demonstrated the theoretical plausibility that this type of pathway might be capable of coding information about stimuli in addition to its known functions in cellular energy and carbon ...

2022

Reconstruction of the Hippocampus

Henry Markram, Felix Schürmann, Armando Romani, Michele Migliore

The hippocampus is a widely studied brain region thought to play an important role in higher cognitive functions such as learning, memory, and navigation. The amount of data on this region increases every day and delineates a complex and fragmented picture ...

Springer2022

Overexpression of UCP4 in astrocytic mitochondria prevents multilevel dysfunctions in a mouse model of Alzheimer's disease

Henry Markram, Maria Reva

Alzheimer's disease (AD) is becoming increasingly prevalent worldwide. It represents one of the greatest medical challenges as no pharmacologic treatments are available to prevent disease progression. Astrocytes play crucial functions within neuronal circu ...

2022

Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning

Henry Markram, Marc-Oliver Gewaltig

From the computational point of view, musculoskeletal control is the problem of controlling high degrees of freedom and dynamic multi-body system that is driven by redundant muscle units. A critical challenge in the control perspective of skeletal joints w ...

2022

A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex

Henry Markram, Vincent Delattre, Rodrigo de Campos Perin, James Gonzalo King, Eilif Benjamin Muller, Marwan Muhammad Ahmed Abdellah, Werner Alfons Hilda Van Geit, Giuseppe Chindemi, Aurélien Tristan Jaquier, Pramod Shivaji Kumbhar, Christian Andreas Rössert, András Ecker, Mustafa Anil Tuncel

Pyramidal cells (PCs) form the backbone of the layered structure of the neocortex, and plasticity of their synapses is thought to underlie learning in the brain. However, such long-term synaptic changes have been experimentally characterized between only a ...

Nature Portfolio2022

Synthesis of branching morphologies

Henry Markram, Lida Kanari

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for generating model neurons. In one aspect, a method includes receiving a plurality of descriptions of branches of dendrites of one or more neurons and gener ...

2021

A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19

Henry Markram, Daniel Keller, Emmanuelle Logette, Francesco Casalegno, Jay Coggan, Cyrille Pierre Henri Favreau, Mohameth François Sy, Samuel Claude Kerrien, Anna-Kristin Kaufmann, Pierre-Alexandre Fonta, Enrico Scantamburlo, Marine Laure Bertschy

SARS-CoV-2 started spreading toward the end of 2019 causing COVID-19, a disease that reached pandemic proportions among the human population within months. The reasons for the spectrum of differences in the severity of the disease across the population, an ...

FRONTIERS MEDIA SA2021

Morphology, physiology and synaptic connectivity of local interneurons in the mouse somatosensory thalamus

Henry Markram

The thalamic reticular nucleus (TRN) neurons, projecting across the external medullary lamina, have long been considered to be the only significant source of inhibition of the somatosensory ventral posterior (VP) nuclei of the thalamus. Here we report for ...

WILEY2021

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, Eleftherios Zisis, Jay Coggan, Samuel Lieven D. Lapere, Alessandro Enrico Foni, Nadir Roman Guerrero

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

ARC: An Open Web-Platform for Request/Supply Matching for a Prioritized and Controlled COVID-19 Response

Henry Markram, Felix Schürmann, Jean-Denis Georges Emile Courcol

In 2020 the world was hit by the COVID-19 pandemic putting entire governments and civil societies in crisis mode. Around the globe unprecedented shortages of equipment and qualified personnel were reported in hospitals and diagnostic laboratories. When a c ...

FRONTIERS MEDIA SA2021

The Role of Hub Neurons in Modulating Cortical Dynamics

Henry Markram, Felix Schürmann, Idan Segev, Eyal Gal, Oren Amsalem, Michael London

Many neurodegenerative diseases are associated with the death of specific neuron types in particular brain regions. What makes the death of specific neuron types particularly harmful for the integrity and dynamics of the respective network is not well unde ...

2021

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

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

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

A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation

Henry Markram, Daniel Keller, Jay Coggan, Polina Shichkova

Accurate molecular concentrations are essential for reliable analyses of biochemical networks and the creation of predictive models for molecular and systems biology, yet protein and metabolite concentrations used in such models are often poorly constraine ...

FRONTIERS MEDIA SA2021

Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas

Henry Markram, Felix Schürmann, Csaba Erö, Daniel Keller, Huanxiang Lu, Francesco Casalegno, Dimitri Bruno Marie Rodarie

The acquisition of high quality maps of gene expression in the rodent brain is of fundamental importance to the neuroscience community. The generation of such datasets relies on registering individual gene expression images to a reference volume, a task en ...

FRONTIERS MEDIA SA2021

Digital Reconstruction of the Neuro-Glia-Vascular Architecture

Kathryn Hess Bellwald, Henry Markram, Felix Schürmann, Corrado Cali, Alexis Arnaudon, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Lida Kanari, Eleftherios Zisis, Michael Emiel Gevaert, Benoît Jean-Albert Coste, Thomas Brice Delemontex, Alessandro Enrico Foni

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

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