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Henry Markram

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Publications associées (167)

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Subthreshold cross-correlations between cortical neurons: A reference model with static synapses

Wulfram Gerstner, Henry Markram, Gilad Silberberg

The structure of cross-correlations between subthreshold potentials of neocortical neurons was recently examined. Characteristic features included broad widths and significant peak advances. It was suggested that dynamic synapses shape these cross-correlat ...

Elsevier2005

New insights into the classification and nomenclature of cortical GABAergic interneurons

Henry Markram, Sean Lewis Hill

A systematic classification and accepted nomenclature of neuron types is much needed but is currently lacking. This article describes a possible taxononnical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based ...

Nature Publishing Group2013

Accelerating Range Queries For Brain Simulations

Henry Markram, Anastasia Ailamaki, Felix Schürmann, Thomas Heinis, Farhan Tauheed

Neuroscientists increasingly use computational tools to build and simulate models of the brain. The amounts of data involved in these simulations are immense and the importance of their efficient management is primordial. One particular problem in analyzin ...

2012

A Component-Based Extension Framework for Large-Scale Parallel Simulations in NEURON

Henry Markram, Felix Schürmann, Sean Lewis Hill

As neuronal simulations approach larger scales with increasing levels of detail, the neurosimulator software represents only a part of a chain of tools ranging from setup, simulation, interaction with virtual environments to analysis and visualizations. Pr ...

2009

Single-cell RT-PCR, a technique to decipher the electrical, anatomical, and genetic determinants of neuronal diversity

Henry Markram

The patch-clamp technique has allowed for detailed studies on the electrical properties of neurons. Dye loading through patch pipettes enabled characterizing the morphological properties of the neurons. In addition, the patch-clamp technique also allows fo ...

Springer2014

Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks

Henry Markram, Kathryn Hess Bellwald, Rodrigo de Campos Perin, Lida Kanari, Alexis Arnaudon, Ying Shi, Julie Meystre, Maurizio Ferdinando Pezzoli, Natali Barros Zulaica

The organizational principles that distinguish the human brain from other species have been a long-standing enigma in neuroscience. Focusing on the uniquely evolved human cortical layers 2 and 3, we computationally reconstruct the cortical architecture for ...

2025

Distributor of neurons in a neocortical column

Henry Markram, Felix Schürmann, Georges Khazen

Computer-implemented methods, software, and systems for determining a distribution of neuronal cells across a portion of a brain are described. One computer-implemented method for determining a target distribution of one or more neuronal cells across a por ...

2014

Morphological, electrophysiological, and synaptic properties of corticocallosal pyramidal cells in the neonatal rat neocortex

Yi Wang, Henry Markram, Gilad Silberberg, Jean-Vincent Le Bé

Neocortical pyramidal cells (PCs) project to various cortical and subcortical targets. In layer V, the population of thick tufted PCs (TTCs) projects to subcortical targets such as the tectum, brainstem, and spinal cord. Another population of layer V PCs p ...

Oxford University Press2007

Matched Pre- and Post-Synaptic Changes Underlie Synaptic Plasticity over Long Time Scales

Henry Markram, Jean-Vincent Le Bé

Modifications of synaptic efficacies are considered essential for learning and memory. However, it is not known how the underlying functional components of synaptic transmission change over long time scales. To address this question, we studied cortical sy ...

Soc Neuroscience2013

Intrinsic morphological diversity of thick-tufted layer 5 pyramidal neurons ensures robust and invariant properties of in silico synaptic connections

Henry Markram, Felix Schürmann, Srikanth Ramaswamy

The morphology of neocortical pyramidal neurons is not only highly characteristic but also displays an intrinsic diversity that renders each neuron morphologically unique. We investigated the significance of this intrinsic morphological diversity in in sil ...

2012

Reconstruction and visualization of large-scale volumetric models of neocortical circuits for physically-plausible in silico optical studies

Henry Markram, Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Juan Bautista Hernando Vieites, Stefan Eilemann, Nicolas Antille

Background: We present a software workflow capable of building large scale, highly detailed and realistic volumetric models of neocortical circuits from the morphological skeletons of their digitally reconstructed neurons. The limitations of the existing a ...

2017

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Idan Segev, Werner Alfons Hilda Van Geit, Jean-Denis Georges Emile Courcol, Giuseppe Chindemi, Michael Emiel Gevaert

At many scales in neuroscience, appropriate mathematical models take the form of complex dynamical systems. Parametrising such models to conform to the multitude of available experimental constraints is a global nonlinear optimisation problem with a comple ...

Frontiers Research Foundation2016

Fully implicit parallel simulation of single neurons

Henry Markram, Felix Schürmann

When a multi-compartment neuron is divided into subtrees such that no subtree has more than two connection points to other subtrees, the subtrees can be on different processors and the entire system remains amenable to direct Gaussian elimination with only ...

2008

Parallel network simulations with NEURON

Henry Markram

The NEURON simulation environment has been extended to support parallel network simulations. Each processor integrates the equations for its subnet over an interval equal to the minimum (interprocessor) presynaptic spike generation to postsynaptic spike de ...

2006

Community-based reconstruction and simulation of a full-scale model of region CA1 of rat hippocampus

Alberto Antonietti, Davide Bella, Pranav Rai, Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Michael Reimann, Marwan Muhammad Ahmed Abdellah, Werner Alfons Hilda Van Geit, Lida Kanari, Srikanth Ramaswamy, James Gonzalo King, Alexis Arnaudon, Ying Shi, András Ecker, Jean-Denis Georges Emile Courcol, Armando Romani, Pramod Shivaji Kumbhar, Judit Planas Carbonell, Michael Emiel Gevaert, Nadir Roman Guerrero, Liesbeth Maria L Vanherpe, Huanxiang Lu, Mohameth François Sy, Cristina Colangelo, Juan Bautista Hernando Vieites, Cyrille Pierre Henri Favreau, Genrich Ivaska, Anna-Kristin Kaufmann, Joni Henrikki Herttuainen, Elvis Boci, Vishal Sood, Thomas Brice Delemontex, Fabien Petitjean, Julian Martin Budd, Mustafa Kerem Kurban

The CA1 region of the hippocampus is one of the most studied regions of the rodent brain, thought to play an important role in cognitive functions such as memory and spatial navigation. Despite a wealth of experimental data on its structure and function, i ...

2024

Neuropeptide and calcium-binding protein gene expression profiles predict neuronal anatomical type in the juvenile rat

Henry Markram

Neocortical neurones can be classified according to several independent criteria: morphological, physiological, and molecular expression (neuropeptides (NPs) and/or calcium-binding proteins (CaBPs)). While it has been suggested that particular NPs and CaBP ...

2005

Norepinephrine stimulates glycogenolysis in astrocytes to fuel neurons with lactate

Pierre Magistretti, Henry Markram, Felix Schürmann, Daniel Keller, Jay Coggan, Corrado Cali

Although efficient compared to computers, the human brain utilizes energy at 10-fold the rate of other organs by mass. How the brain is supplied with sufficient on-demand energy to support its activity in the absence of neuronal storage capacity remains un ...

2018

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

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

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

The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex

Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Sean Lewis Hill, Idan Segev, Srikanth Ramaswamy, Michael Reimann, Daniel Keller, Werner Alfons Hilda Van Geit, Marwan Muhammad Ahmed Abdellah, James Gonzalo King, Lida Kanari, Julian Charles Shillcock, Ying Shi, Jean-Denis Georges Emile Courcol, Rajnish Ranjan, Juan Bautista Hernando Vieites, Stefan Eilemann, Michael Emiel Gevaert, Giuseppe Chindemi, Nicolas Antille, Jeffrey Christopher Muller, Ahmet Bilgili

We have established a multi-constraint, data-driven process to digitally reconstruct, and simulate prototypical neocortical microcircuitry, using sparse experimental data. We applied this process to reconstruct the microcircuitry of the somatosensory corte ...

Frontiers Research Foundation2015

Morphological development of thick-tufted layer v pyramidal cells in the rat somatosensory cortex

Henry Markram

The thick-tufted layer V pyramidal (TTL5) neuron is a key neuron providing output from the neocortex. Although it has been extensively studied, principles governing its dendritic and axonal arborization during development are still not fully quantified. Us ...

2011