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Publications associées (29)

What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from theENIGMABipolar Disorder Working Group

Jorge Miguel Dias Almeida Rodrigues Soares, Erick Jorge Canales Rodriguez, Michael Bauer

MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding ...

Wiley2022

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

Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks

Felix Schürmann, Michael Lee Hines

Modern asynchronous runtime systems allow the re-thinking of large-scale scientific applications. With the example of a simulator of morphologically detailed neural networks, we show how detaching from the commonly used bulk-synchronous parallel (BSP) exec ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

A null model of the mouse whole-neocortex micro-connectome

Henry Markram, Eilif Benjamin Muller, Michael Reimann, Ying Shi, Huanxiang Lu

In connectomics, the study of the network structure of connected neurons, great advances are being made on two different scales: that of macro- and meso-scale connectomics, studying the connectivity between populations of neurons, and that of micro-scale c ...

Nature Research2019

Brain Dynamics: Global Pulse and Brain State Switching

Dimitri Nestor Alice Van De Ville

A major challenge in systems-level neuroscience is to understand the dynamic formation and succession of brain states. A new study has extracted reproducible brain states from mouse resting-state fMRI data, revealing interactions between occurrences of the ...

CELL PRESS2019

Asynchronous Branch-Paralle Simulation of Detailed Neuron Models

Felix Schürmann, Michael Lee Hines

Simulations of electrical activity of networks of morphologically detailed neuron models allow for a better understanding of the brain. State-of-the-art simulations describe the dynamics of ionic currents and biochemical processes within branching topologi ...

2019

Asynchronous Simulation of Neuronal Activity

Bruno Ricardo Da Cunha Magalhães

Simulations of the electrical activity of networks of morphologically-detailed neuron models allow for a better understanding of the brain. Short time to solution is critical in order to study long biological processes such as synaptic plasticity and learn ...

EPFL2019

Inferring and validating mechanistic models of neural microcircuits based on spike-train data

Olivier Richard Hagens

The interpretation of neuronal spike train recordings often relies on abstract statistical models that allow for principled parameter estimation and model selection but provide only limited insights into underlying microcircuits. In contrast, mechanistic m ...

Nature Research2019

Data-Driven Modeling of Cholinergic Modulation of Neural Microcircuits: Bridging Neurons, Synapses and Network Activity

Henry Markram, Srikanth Ramaswamy, Cristina Colangelo

Neuromodulators, such as acetylcholine (ACh), control information processing in neural microcircuits by regulating neuronal and synaptic physiology. Computational models and simulations enable predictions on the potential role of ACh in reconfiguring netwo ...

2018

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