| 06-07-2022 |
All-optical electrophysiology signal extraction using deep learning
All-optical electrophysiology is revolutionizing neurobiology by enabling stimulation and measurement of large-scale neuronal activity non-invasively in the living brain of model animals. In our Laboratory we develop computational imaging techniques and apply them to optical electrophysiology measurements with high-speed optical section. In this project we will develop artificial intelligence methods to optimally identify neural signals from imperfect, mixed, and moving measurements. We seek to implement an algorithm that replicates the function of the human brain to identify these signals, which exceeds existing numerical algorithms. Expertise in programming, deep learning, and neurophysiology is welcome but not necessary.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |