Sacha Jennifer van Albada

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 shows that spontaneous spiking statistics uniquely identify cortical areas and correlate with their hierarchical position in the cerebral cortex.

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 develops a multi-scale spiking network model of human cortex to explore structure-dynamics relationships using multimodal data and validates it against electrophysiological and fMRI data.

The paper develops a multi-layer model of somatosensory cortex with three interneuron types and cell-type-specific short-term plasticity, reproducing experimental observations on network dynamics and inhibitory effects.

The paper shows that target information modulates neural and behavioral variability in motor cortex through a spiking attractor model, explaining reaction time and variability patterns in monkeys.

This study identifies two distinct neural manifolds in V1 correlated with eye state and shows top-down signals from V4 to V1, particularly in the foveal region, during eyes-open periods.

This paper develops a cortical model with excitatory-inhibitory clusters that captures spiking statistics, inter-area propagation, and variability dynamics in primate visual cortex.

The paper shows neuron densities in mammalian cerebral cortex follow a lognormal distribution across and within cortical areas, suggesting a new organizational principle.

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