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, Michael Reimann, Daniel Keller, Yann Roussel, Tanguy Pierre Louis Damart, Dimitri Bruno Marie Rodarie

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

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

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, Lida Kanari, Felix Schürmann, 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, Michael Reimann, Daniel Keller, 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, Armando Romani, Felix Schürmann, 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, Eilif Benjamin Muller, Rodrigo de Campos Perin, James Gonzalo King, Vincent Delattre, Mustafa Anil Tuncel, Werner Alfons Hilda Van Geit, Marwan Muhammad Ahmed Abdellah, Pramod Shivaji Kumbhar, Giuseppe Chindemi

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

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

Henry Markram, Maria Reva

2022

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

Nature Portfolio2022