Simultaneous imaging of calcium (top trace) and electrophysiological recording (middle trace), and the action potentials extracted from the latter (bottom) in a zebrafish neuron.
Simultaneous imaging of calcium ( top trace ) and electrophysiological recording ( middle trace ), and the action potentials extracted from the latter ( bottom ) in a zebrafish neuron. Neuroscientists often use calcium imaging to analyze neuronal activity in the intact brain. But this method provides only an indirect and slow measure of action potential firing, creating the need to reliably reconstruct action potentials from calcium signals. Peter Rupprecht, a former PhD candidate in the Friedrich group, developed a novel algorithm based on machine learning that is very effective, easy to use, and highly robust. It has the potential to become a new standard for neurobiologists worldwide. When neurons communicate with each another, they transmit - or "fire" - small electrical impulses called action potentials or spikes. These action potentials are the fundamental units of information processing in the brain.
TO READ THIS ARTICLE, CREATE YOUR ACCOUNT
And extend your reading, free of charge and with no commitment.