Werner A. H. Van Geit

A Detailed Model for Understanding the Human Neocortex

This study builds a detailed computational model of the human neocortex and compares it to a rat model, revealing differences in cell density, branching complexity, and synaptic connectivity.

Modeling and Simulation of Rat Non-Barrel Somatosensory Cortex. Part I: Modeling Anatomy

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.

Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation

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

Higher-Order Interactions in Neuronal Function: From Genes to Ionic Currents in Biophysical Models

This study uses biophysical models and statistical methods to show that neuronal firing patterns depend on synergistic interactions of multiple ionic currents, contrasting with gene expression redundancy observed in single-cell RNAseq data.

Shaping a Collaborative, Sustainable, Accessible, and Reproducible Future for Computational Modeling

The paper introduces o2S2PARC, an open-source platform for computational modeling and analysis, highlighting its features, applications, and adoption.

Community-based Reconstruction and Simulation of a Full-scale Model of Region CA1 of Rat Hippocampus

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.

Directional Sensitivity of Cortical Neurons Towards TMS Induced Electric Fields

The paper develops computationally efficient average response models of cortical neurons to estimate TMS-induced stimulation thresholds based on electric field orientation.

Controlling morpho-electrophysiological variability of neurons with detailed biophysical models

The paper develops a method to generate populations of detailed biophysical neuron models that reproduce experimental variability using Markov chain Monte Carlo techniques.

A universal workflow for creation, validation and generalization of detailed neuronal models

The paper introduces a workflow for creating and validating detailed neuronal models using rat somatosensory cortex data, showing it can generate models with varied responses.

Associations between in vitro, in vivo and in silico cell classes in mouse primary visual cortex

The paper links in vitro, in vivo, and in silico cell classes in mouse visual cortex using computational modeling and optotagging experiments to identify distinct clusters with specific properties.

Thalamic control of sensory enhancement and sleep spindle properties in a biophysical model of thalamoreticular microcircuitry

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.

A multi-modal fitting approach to construct single-neuron models with patch clamp and high-density microelectrode arrays

This paper introduces a multi-modal fitting framework combining patch-clamp and HD-MEA data to build more accurate multicompartment neuron models.

Single-neuron models linking electrophysiology, morphology and transcriptomics across cortical cell types

The paper generates and evaluates over 130 million single-neuron models with active conductances to link electrophysiology, morphology, and transcriptomics across cortical cell types.

A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex

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

Computational synthesis of cortical dendritic morphologies

The paper synthesizes cortical dendrites using a topological descriptor to create statistically similar digital reconstructions, enabling the study of neuronal morphology and brain function.

HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data

HippoUnit provides an open-source Python test suite to systematically compare and evaluate detailed models of rat hippocampal CA1 pyramidal neurons against electrophysiological data.

The SONATA Data Format for Efficient Description of Large-Scale Network Models

The paper introduces the SONATA data format to efficiently describe large-scale network models in neuroscience, enabling model construction, simulation, and sharing.

Open Source Brain: a collaborative resource for visualizing, analyzing, simulating and developing standardized models of neurons and circuits

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

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

The paper builds biophysically detailed models of thalamocortical neurons constrained by experimental data, showing robustness to parameter changes and morphology variations.