Michael Reimann

Publications associées (29)

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Mapping of morpho-electric features to molecular identity of cortical inhibitory neurons

Henry Markram, Srikanth Ramaswamy, Michael Reimann, Daniel Keller, Yann Roussel, Tanguy Pierre Louis Damart, Dimitri Bruno Marie Rodarie

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, 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

A method to estimate the cellular composition of the mouse brain from heterogeneous datasets

Henry Markram, Srikanth Ramaswamy, Michael Reimann, Daniel Keller, 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, Eilif Benjamin Muller, Michael Reimann, Marwan Muhammad Ahmed Abdellah, Taylor Howard Newton, Grigori Chevtchenko

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

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

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, 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

Cortical reliability amid noise and chaos

Henry Markram, Eilif Benjamin Muller, Michael Reimann, James Gonzalo King, 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

Henry Markram, Kathryn Hess Bellwald, 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

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

Michael Reimann, Christoph Pokorny, Ran Levi

PUBLIC LIBRARY SCIENCE2022