Characterizing the Electrophysiology of GT1-7 Neuron Spheroids

Neural computing systems, systems that integrate biological neurons with electronic hardware, have the potential to be cheaper and less energy intensive than current computing hardware due to their plastic nature. In this project, hypothalamic mouse-derived GT1-7 immortalized neuron spheroids are plated onto a MaxOne high-density microelectrode array (HD-MEA) for biphasic electrical stimulation. Input parameters, such as amplitude, pulse phase, and inter-pulse interval, are varied to characterize how neuronal networks process and respond to external inputs. With insight from these parameters, stimulation patterns can be designed to reshape connectivity and guide networks to perform a task, with the ultimate goal of determining if GT1-7 spheroids can be integrated in neural computing hardware.