Cristina Soto‐Sánchez

The paper identifies cell-type-specific spiking patterns during cortical ripples in macaque and human V1, showing conserved circuit mechanisms across species and conditions.

This paper develops a deep learning framework to control neural activity in the human visual cortex using a neuroprosthesis, achieving better performance than conventional methods.

This study evaluates the acute biological response to Utah Optrode Array implantation in macaque cortex, identifying design parameters that minimize tissue damage and improve biocompatibility.

This study uses Bayesian optimization to find optimal stimulation patterns for cortical neuroprosthetics, improving phosphene perception quality through patient feedback.