Markus Diesmann

This paper develops a framework for simulating neuron-astrocyte interactions in large-scale neural networks, showing astrocytes drive synchronization in local neuronal groups.

The paper constructs an EM-based connectivity map of cortical microcircuits and shows it supports biologically plausible dynamics better than an LM-based model.

The paper shows that heterogeneous local connectivity enables complex long-range coordination in neuronal networks, explaining covariance patterns in motor cortex during rest and task.

NEST Desktop provides an installation-free web-based GUI for neuronal network simulations, enabling non-programmers to explore computational neuroscience concepts without prior programming knowledge.

This paper develops a method to reconstruct neuronal circuitry from spike trains using a generalized linear model, validated on rat hippocampal data.