Reconstructing neuronal microcircuits through computational models is fundamental to simulate local neuronal dynamics. Here a scaffold model of the cerebellum has been developed in order to flexibly place neurons in space, connect them synaptically and endow neurons and synapses with biologically-grounded mechanisms. The scaffold model can keep neuronal morphology separated from network connectivity, which can […]
Published on May 16, 2019
The brain as a neuronal system has very complex structure with large diversity of neuronal types. The most basic complexity is seen from the structure of neuronal morphology, which usually has a complex tree-like structure with dendritic spines distributed in branches. For simulating a large-scale network with spiking neurons, the simple point neuron, such as […]
Published on May 16, 2019
Measures of brain activity with high temporal resolution have shown that the information represented in a single brain region undergoes dynamic changes on the scale of milliseconds. This dynamic process presents a unique inferential challenge to low temporal resolution neural measures, such as BOLD fMRI. Potential solutions for fMRI requiring further investigation and development are […]
Published on May 16, 2019