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Simone Romeni

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Simone Romeni

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Biophysically accurate and machine learning-based surrogate models to optimize neuroprosthesis design and operation

Decoding electroencephalographic responses to visual stimuli compatible with electrical stimulation

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

Reconstruction of nerve functional topography using recruitment curves enables selective electrical stimulation

A method to establish functional vagus nerve topography from electro-neurographic spontaneous activity

Simultaneous decoding of cardiovascular and respiratory functional changes from pig intraneural vagus nerve signals

Computational model of the dorsal horn circuitry for innocuous touch

Tutorial: a computational framework for the design and optimization of peripheral neural interfaces