Publications by Michael Reimann

Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy

Kathryn Hess Bellwald, Henry Markram, Felix Schürmann, James Gonzalo King, Srikanth Ramaswamy, Juan Bautista Hernando Vieites, Alexis Arnaudon, Eilif Benjamin Muller, Daniel Keller, Michael Reimann, Huanxiang Lu, Ying Shi, Vishal Sood, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Lida Kanari, Juan Luis Riquelme Roman, Ran Levi, Michael Emiel Gevaert, Pramod Shivaji Kumbhar, Liesbeth Maria L Vanherpe, Armando Romani, Cyrille Pierre Henri Favreau, Judit Planas Carbonell, Adrien Michel Achille Devresse, András Ecker, Nicolas René Jean Ninin, Daniela Egas Santander, Alexander Dietz, Benoît Jean-Albert Coste, Samuel Lieven D. Lapere, Matthias Wolf, Sirio Bolaños Puchet, Hugo Thabo Dictus, Thomas Brice Delemontex, James Bryden Isbister, Janis Lazovskis, Gianluca Ficarelli, Joni Henrikki Herttuainen,

Specific inhibition and disinhibition in the higher-order structure of a cortical connectome

Eilif Benjamin Muller, Michael Reimann, András Ecker, Daniela Egas Santander

Neurons are thought to act as parts of assemblies with strong internal excitatory connectivity. Conversely, inhibition is often reduced to blanket inhibition with no targeting specificity. We analyzed the structure of excitation and inhibition in the MICrO ...

Oxford University Press2024

Enhancement of brain atlases with region-specific coordinate systems: flatmaps and barrel column annotations

Felix Schürmann, Juan Bautista Hernando Vieites, Michael Reimann, Huanxiang Lu, Armando Romani, Sirio Bolaños Puchet, Aleksandra Zuzanna Teska

Digital brain atlases define a hierarchy of brain regions and their locations in three-dimensional space. They provide a standard coordinate system in which diverse datasets can be integrated for visualization and analysis. They also enable building of dat ...

2024

Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome

James Gonzalo King, Eilif Benjamin Muller, Michael Reimann, Marwan Muhammad Ahmed Abdellah, Giuseppe Chindemi, Pramod Shivaji Kumbhar, András Ecker, Daniela Egas Santander, Ioannis Magkanaris, Sirio Bolaños Puchet, Jorge Blanco Alonso, James Bryden Isbister

Synaptic plasticity underlies the brain’s ability to learn and adapt. While experiments in brain slices have revealed mechanisms and protocols for the induction of plasticity between pairs of neurons, how these synaptic changes are coordinated in biologica ...

2024

A connectome manipulation framework for the systematic and reproducible study of structure–function relationships through simulations

Michael Reimann, Omar Awile, Matthias Wolf, James Bryden Isbister, Mustafa Kerem Kurban, Christoph Pokorny

Synaptic connectivity at the neuronal level is characterized by highly non-random features. Hypotheses about their role can be developed by correlating structural metrics to functional features. But to prove causation, manipulations of connectivity would h ...

2024

Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation

Henry Markram, Felix Schürmann, James Gonzalo King, Rajnish Ranjan, Srikanth Ramaswamy, Alexis Arnaudon, Eilif Benjamin Muller, Daniel Keller, Michael Reimann, Vishal Sood, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Giuseppe Chindemi, Michael Emiel Gevaert, Pramod Shivaji Kumbhar, Armando Romani, Christian Andreas Rössert, Judit Planas Carbonell, Genrich Ivaska, András Ecker, Daniela Egas Santander, Natali Barros Zulaica, Alexander Dietz, Omar Awile, Samuel Lieven D. Lapere, Matthias Wolf, Sirio Bolaños Puchet, Thomas Brice Delemontex, Jorge Blanco Alonso, Mustafa Anil Tuncel, Tanguy Pierre Louis Damart, Maria Reva, James Bryden Isbister, Darshan Mandge, Weina Ji, Aleksandra Zuzanna Teska, Polina Litvak, Gianluca Ficarelli, Joni Henrikki Herttuainen, ,

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

Henry Markram, Felix Schürmann, James Gonzalo King, Srikanth Ramaswamy, Juan Bautista Hernando Vieites, Alexis Arnaudon, Eilif Benjamin Muller, Michael Reimann, Huanxiang Lu, Ying Shi, Marwan Muhammad Ahmed Abdellah, Vishal Sood, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Lida Kanari, Juan Luis Riquelme Roman, Michael Emiel Gevaert, Pramod Shivaji Kumbhar, Liesbeth Maria L Vanherpe, Armando Romani, Cyrille Pierre Henri Favreau, Michele Migliore, Mohameth François Sy, Szabolcs Kali, Judit Planas Carbonell, Genrich Ivaska, Sàra Sàray, Carmen Alina Lupascu, Rosanna Migliore, Audrey Mercer, András Ecker, Alberto Antonietti, Cristina Colangelo, Anna-Kristin Kaufmann, Julian Martin Budd, Elisabetta Giacalone, Thomas Brice Delemontex, Davide Bella, Fabien Petitjean, , , , ,

Cortical cell assemblies and their underlying connectivity: an in silico study

Michael Reimann, András Ecker, Daniela Egas Santander, Sirio Bolaños Puchet, James Bryden Isbister

Recent developments in experimental techniques have enabled simultaneous recordings from thousands of neurons, enabling the study of functional cell assemblies. However, determining the patterns of synaptic connectivity giving rise to these assemblies rema ...

2024

Simulating Temporal Interference Stimulation

Henry Markram, Felix Schürmann, Michael Reimann

SPRINGER2023

Thalamic control of sensory processing and spindles in a biophysical somatosensory thalamoreticular circuit model of wakefulness and sleep

Henry Markram, Rodrigo de Campos Perin, James Gonzalo King, Rajnish Ranjan, Grigori Chevtchenko, Sean Lewis Hill, Jayakrishnan Harikrishnavilas Raveendran Nair, Michael Reimann, Ying Shi, Marwan Muhammad Ahmed Abdellah, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Adrien Christian Fleury, Michael Emiel Gevaert, Pramod Shivaji Kumbhar, Oren Amsalem, Cyrille Pierre Henri Favreau, Mohameth François Sy, Samuel Claude Kerrien, Elisabetta Iavarone, Christian O'Reilly, Genrich Ivaska, András Ecker, Anna-Kristin Kaufmann, Benoît Jean-Albert Coste, Ioannis Magkanaris, Matthias Wolf, Marine Laure Bertschy, Patrycja Lurie, Mustafa Anil Tuncel, Fabien Petitjean, Nadir Roman Guerrero, Liviu Soltuzu, Alexander Désiré Ulbrich, Polina Litvak, Vignayanandam Ravindernath Muddapu, Joni Henrikki Herttuainen

2023

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

A parcellation scheme of mouse isocortex based on reversals in connectivity gradients

Michael Reimann

The brain is composed of several anatomically clearly separated structures. This parcellation is often extended into the isocortex, based on anatomical, physiological or functional differences. Here, we derive a parcellation scheme based purely on the spat ...

2023

Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies

Michael Reimann, Ran Levi, Christoph Pokorny

In motor-related brain regions, movement intention has been successfully decoded from invivo spike train by isolating a lower-dimension manifold that the high-dimensional spiking activity is constrained to. The mechanism enforcing this constraint remains u ...

PUBLIC LIBRARY SCIENCE2022

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

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

Data-driven integration of hippocampal CA1 synaptic physiology in silico

Srikanth Ramaswamy, Eilif Benjamin Muller, Michael Reimann, Armando Romani, Michele Migliore, Szabolcs Kali, Sàra Sàray, Audrey Mercer, András Ecker

The anatomy and physiology of monosynaptic connections in rodent hippocampal CA1 have been extensively studied in recent decades. Yet, the resulting knowledge remains disparate and difficult to reconcile. Here, we present a data-driven approach to integrat ...

2020

Impact of higher order network structure on emergent cortical activity

Henry Markram, Michael Reimann, Max Christian Nolte

Synaptic connectivity between neocortical neurons is highly structured. The network structure of synaptic connectivity includes first-order properties that can be described by pairwise statistics, such as strengths of connections between different neuron t ...

2020

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

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

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

Cortical reliability amid noise and chaos

Henry Markram, James Gonzalo King, Eilif Benjamin Muller, Michael Reimann, Max Christian Nolte

Typical responses of cortical neurons to identical sensory stimuli appear highly variable. It has thus been proposed that the cortex primarily uses a rate code. However, other studies have argued for spike-time coding under certain conditions. The potentia ...

Nature Research2019

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