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Topic: data-driven mathematical models

ePoster
1 ePoster

In Neuroscience

A multimodal approach to investigate human brain mesoscale circuits with cellular and subcellular resolution

Irene Incerti, Giada Coluccio, Anna Maria Costa, Lorenzo Tartarini, Gabriele Losi, Daniela Gandolfi, Stefano Meletti, Giacomo Pavesi, Jonathan Mapelli · FENS Forum 2024

Progress in brain research is widely based on experimental approaches having the potential to advance the knowledge on fundamental biology. In particular, the increasing availability of data obtained by experimental techniques has boosted the development of data-driven mathematical models reproducing neuronal circuits. While cellular and subcellular resolution data have been extensively collected in animal models, experimental constraints have limited the acquisition of information about human neuronal cytoarchitectures and morphologies. In this context, high resolution data can be efficiently

ePoster · Neuroscience