Michael W. Reimann
mwolfr.bsky.social
Michael W. Reimann
@mwolfr.bsky.social
Neuroscientist and Data Scientist | Group Leader Connectomics
Potentially even for inter-regional connectivity. Hope it will help with our understanding of neuronal connectivity. Readily usable for example in models and simulations of neuronal networks.
May 28, 2025 at 2:13 PM
Much has been written about the structure and heterogeneity of local neuronal circuitry that is not captured by controls. We built a surprisingly simple graph based model and show that it recreates the complexity characterized in biological neuronal networks at different scales.
May 28, 2025 at 2:13 PM
The motivation for the work came from ongoing and published electron microscopic connectome reconstructions that were said to solve the connectomics of brain microcircuitry. But even knowing all connections, one can describe any number of rules and trends - which ones are functionally meaningful?
December 3, 2024 at 2:42 PM
We found that the higher-order structure of excitation contains specific motifs that form a backbone of connectivity in a fan-out structure. Inhibitory connectivity is structured by this, providing specific competition between the motifs. Disinhibition in turn targets these neurons (2/3)
November 19, 2024 at 9:32 AM