Publications by Michael Reimann

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

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

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

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

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

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

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 ...

2023

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

Michael Reimann, 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 ...

2023

Long-term plasticity induces sparse and specific synaptic changes in a biophysically detailed cortical model

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

Synaptic plasticity underlies the brain’s ability to learn and adapt. This process is often studied in small groups of neurons in vitro or indirectly through its effects on behavior in vivo. Due to the limitations of available experimental techniques, inve ...

2023

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

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

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 ...

2023

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

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

In recent years, large-scale computational models of the cortex have emerged as a powerful way to study the multi-scale mechanisms of neural processing. However, due to computational costs and difficulty of parameterization, detailed biophysical reconstruc ...

2023

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

Michael Reimann, Christoph Pokorny, Ran Levi

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

Modeling and simulation of rat non-barrel somatosensory cortex. Part I: Modeling anatomy

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

The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also by its rich, hierarchical, interregional structure with a highly specific laminar architecture. The last decade has seen the emergence of extensive new ...

2022

In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations

Henry Markram, Eilif Benjamin Muller, Michael Reimann, Marwan Muhammad Ahmed Abdellah, Grigori Chevtchenko, 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

Michael Reimann

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

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

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

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

Long-term plasticity induces sparse and specific synaptic changes in a biophysically detailed cortical model

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

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

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

Modeling and simulation of rat non-barrel somatosensory cortex. Part I: Modeling anatomy

In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations

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