Daniel X. Keller

The paper improves the resolution of the Allen Mouse Brain Atlas to 25 micrometers cubed for 4,083 genes and provides an interactive platform for exploring gene expression patterns.

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.

This study develops a multiscale electro-metabolic model of a rat neocortex to show that middle cortical layers are more vulnerable to energy impairment with age.

The paper develops a molecular model of the aging brain's metabolic system, identifies key disruptions, and proposes interventions to restore metabolic flexibility and neuronal function.

The paper extends and improves the CCFv3 atlas to cover missing brain regions and enhance alignment for better cell type mapping and data integration.

The paper creates a 3D spatial atlas of transcriptomic, morphological, and electrophysiological cell types in the mouse brain using integrated data and computational methods.

This study models blood flow dynamics in the rat somatosensory cortex, showing that astrocytic activity causes localized vasodilation and increased blood flow, particularly in capillaries.

The paper develops a method to generate geometrically realistic and watertight neuronal manifolds from morphological data for in silico simulations.

The paper maps molecular identities to morpho-electrically defined inhibitory neuron types in the mouse cortex using a latent space approach and existing datasets.

The paper estimates inhibitory neuron densities in the mouse brain by integrating diverse datasets and literature values, finding 20.3% of neurons are inhibitory with specific subtype proportions.

Ultraliser creates high-fidelity 3D models of neuroscientific structures for in silico simulations, enabling detailed structural analysis and scalable experiments.

The paper introduces a modular workflow for building, analyzing, and parameter estimating biochemical models, enhancing interoperability and reusability across different simulators and formats.

The paper digitally reconstructs the neuro-glia-vascular system in rat somatosensory cortex to understand astrocyte-vascular-neuron interactions and their anatomical constraints.