Active Measurement for Neuroscience

Ross Boczar, UC Berkeley


In neuroscience we often wish to measure the properties of individual neurons or groups of neurons in  response to certain stimuli. These experiments are expensive and time-limited, as all biological samples decay and ultimately die. Thus, for a given neuron we would often like to know the best stimulus to present to learn a certain property. In this preliminary work, we explore the possibility of exploiting elastic compute resources for active measurement selection.