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Henry Markram

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Publications associées (169)

Generating and identifying functional subnetworks within structural networks

Kathryn Hess Bellwald, Henry Markram, Michael Reimann, Ran Levi, Max Christian Nolte

In one aspect, a method includes generating a functional subgraph of a network from a structural graph of the network. The structural graph comprises a set of vertices and structural connections between the vertices. Generating the functional subgraph incl ...

2018

Simplification of neural network models

Wulfram Gerstner, Henry Markram, Christian Antonio Pozzorini, James Gonzalo King, Eilif Benjamin Muller, Csaba Erö, Idan Segev, Marc-Oliver Gewaltig, Willem Anna Mark Wybo, Christian Andreas Rössert

The simplification of neural network models is described. For example, a method for simplifying a neural network model includes providing the neural network model to be simplified, defining a first temporal filter for the conveyance of input from a neuron ...

2018

Cell Densities in the Mouse Brain: A Systematic Review

Henry Markram, Csaba Erö, Daniel Keller

The mouse brain is the most extensively studied brain of all species. We performed an exhaustive review of the literature to establish our current state of knowledge on cell numbers in mouse brain regions, arguably the most fundamental property to measure ...

2018

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

Pierre Magistretti, Renaud Jolivet, Henry Markram, Felix Schürmann, Corrado Cali, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Stefan Eilemann, Jay Coggan, Daniya Boges, Kalpana Kare, Markus Hadwiger, Marco Agus

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

The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow

Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Maurizio Ferdinando Pezzoli, Ying Shi, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Olivier Richard Hagens, Armando Romani, Christian Andreas Rössert, Michele Migliore, Szabolcs Kali, Carmen Alina Lupascu, Rosanna Migliore, Audrey Mercer, Luca Leonardo Bologna, Stefano Maximiliano Antonel

Every neuron is part of a network, exerting its function by transforming multiple spatiotemporal synaptic input patterns into a single spiking output. This function is specified by the particular shape and passive electrical properties of the neuronal memb ...

2018

Norepinephrine stimulates glycogenolysis in astrocytes to fuel neurons with lactate

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

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

Reconstruction and simulation of neocortical microcircuitry

Henry Markram, Felix Schürmann, Sean Lewis Hill, Eilif Benjamin Muller

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for reconstructing and simulating neocortical microcircuitry. In one aspect, a method includes providing a model of neural tissue, the model including differ ...

2018

Timed Synaptic Inhibition Shapes NMDA Spikes, Influencing Local Dendritic Processing and Global I/O Properties of Cortical Neurons

Henry Markram, Eilif Benjamin Muller, Idan Segev, Giuseppe Chindemi, Michael Doron

The NMDA spike is a long-lasting nonlinear phenomenon initiated locally in the dendritic branches of a variety of cortical neurons. It plays a key role in synaptic plasticity and in single-neuron computations. Combining dynamic system theory and computatio ...

2017

Rich cell-type-specific network topology in neocortical microcircuitry

Henry Markram, Srikanth Ramaswamy, Eilif Benjamin Muller, Idan Segev, Michael Reimann, Eyal Gal, Michael London

Uncovering structural regularities and architectural topologies of cortical circuitry is vital for understanding neural computations. Recently, an experimentally constrained algorithm generated a dense network reconstruction of a similar to 0.3-mm(3) volum ...

Nature Publishing Group2017

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

Henry Markram, Felix Schürmann, Juan Bautista Hernando Vieites, Marwan Muhammad Ahmed Abdellah, 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

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

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

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

Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function

Kathryn Hess Bellwald, Henry Markram, Rodrigo de Campos Perin, Michael Reimann, Giuseppe Chindemi, Ran Levi, Max Christian Nolte, Pawel Tadeusz Dlotko, Katharine Felicity Turner, Martina Scolamiero

The lack of a formal link between neural network structure and its emergent function has hampered our understanding of how the brain processes information. We have now come closer to describing such a link by taking the direction of synaptic transmission i ...

Frontiers Media Sa2017

Morphological Diversity Strongly Constrains Synaptic Connectivity and Plasticity

Henry Markram, Srikanth Ramaswamy, Eilif Benjamin Muller, Michael Reimann, Anna-Lena Horlemann

Synaptic connectivity between neurons is naturally constrained by the anatomical overlap of neuronal arbors, the space on the axon available for synapses, and by physiological mechanisms that form synapses at a subset of potential synapse locations. What i ...

Oxford University Press (OUP)2017

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

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

From Neuron Biophysics to Orientation Selectivity in Electrically Coupled Networks of Neocortical L2/3 Large Basket Cells

Henry Markram, Eilif Benjamin Muller, Idan Segev, Werner Alfons Hilda Van Geit, Oren Amsalem

In the neocortex, inhibitory interneurons of the same subtype are electrically coupled with each other via dendritic gap junctions (GJs). The impact of multiple GJs on the biophysical properties of interneurons and thus on their input processing is unclear ...

Oxford University Press (OUP)2016

Tight Coupling of Astrocyte pH Dynamics to Epileptiform Activity Revealed by Genetically Encoded pH Sensors

Henry Markram

Astrocytes can both sense and shape the evolution of neuronal network activity and are known to possess unique ion regulatory mechanisms. Here we explore the relationship between astrocytic intracellular pH dynamics and the synchronous network activity tha ...

Soc Neuroscience2016

Network-timing-dependent plasticity

Henry Markram, Vincent Delattre, Eilif Benjamin Muller, Daniel Keller

Bursts of activity in networks of neurons are thought to convey salient information and drive synaptic plasticity. Here we report that network bursts also exert a profound effect on Spike-Timing-Dependent Plasticity (STDP). In acute slices of juvenile rat ...

2015

Cell-type- and activity-dependent extracellular correlates of intracellular spiking

Henry Markram, Rodrigo de Campos Perin, Constantinos Anastassiou

Despite decades of extracellular action potential (EAP) recordings monitoring brain activity, the biophysical origin and inherent variability of these signals remains enigmatic. We performed whole-cell patch recordings of excitatory and inhibitory neurons ...

2015

Structural to functional synaptic conversion

Henry Markram, Felix Schürmann, James Gonzalo King, Sean Lewis Hill, Eilif Benjamin Muller, Michael Reimann

Computer-implemented methods, software, and systems for determining functional synapses from given structural touches between cells in a neuronal circuit are described. One computer-implemented method for determining functional synapses from predetermined ...

Technology Transfer Office EPFL2015

Anatomy and physiology of the thick-tufted layer 5 pyramidal neuron

Henry Markram, Srikanth Ramaswamy

The thick-tufted layer 5 (TTL5) pyramidal neuron is one of the most extensively studied neuron types in the mammalian neocortex and has become a benchmark for understanding information processing in excitatory neurons. By virtue of having the widest local ...

Frontiers Research Foundation2015

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