Linus Manubens-Gil

The paper develops a computational model of the mouse motor cortex to study how neuromorphological changes in Down syndrome affect gamma oscillations, finding reduced gamma activity in DS models.

The paper examines axonal bouton distribution in mouse neurons, showing non-homogeneous patterns and their impact on whole-brain network topology.

This study investigates how Dyrk1A overexpression in mice affects neuronal network activity, finding that structural deficits, not over-inhibition, primarily impair network function.

The paper defines neuron connectivity types (c-types) using morphology and connectivity data, showing they better capture subtype distinctions than other features.

BigNeuron benchmarks automatic neuron reconstruction algorithms using gold standard annotations and image quality metrics, showing that consensus methods outperform individual algorithms.

The paper develops a deep learning algorithm to predict neurite structure and length in fluorescence imaging, achieving near-human accuracy and efficiency for large datasets.