András Ecker

This paper proposes a digital twin-based model for interpretable side effect prediction in drug discovery using off-target proteins and biophysical mechanisms, offering actionable insights.

The paper creates a detailed computational model of rat somatosensory cortex anatomy, including 4.2 million neurons and 14.2 billion synapses, and identifies limitations in connectivity prediction from morphology.

The paper presents a large-scale biophysically detailed model of somatosensory cortex to simulate and validate cortical dynamics and experimental results.

The paper uses simulations to study how synaptic plasticity interacts with network structure and dendritic organization to shape cortical microcircuit function and learning.

The paper shows that heterogeneous and higher-order cortical connectivity allows neural networks to balance efficiency and robustness by supporting subpopulations with different roles.

The paper presents a full-scale in silico model of rat hippocampal CA1 integrating diverse experimental data and validates it through simulations of theta rhythm and other experiments.

The paper analyzes inhibition and excitation in a cortical connectome, finding that inhibition is structured through specific connections in large neuron motifs, not just pairwise interactions.

The paper develops a computational model of mouse thalamoreticular microcircuitry to study sensory enhancement and sleep spindle properties, revealing mechanisms of network-level activity across brain states.

The paper uses a simulation-based approach to study how synaptic connectivity patterns shape functional cell assemblies in a cortical network model, showing that connectivity structure significantly influences assembly composition and activation.

The paper proposes a calcium-based plasticity model that predicts LTP and LTD dynamics across multiple pyramidal connections in the neocortex.

The paper constructs a network model of hippocampal area CA3 to show that structured synaptic interactions underlie sharp wave-ripples and sequence replay during learning.

This paper integrates existing knowledge on rodent hippocampal CA1 synaptic anatomy and physiology into a coherent in silico resource.

Open Source Brain provides a platform for visualizing, simulating, and collaboratively developing standardized neuronal and circuit models to improve model transparency and reproducibility.