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Intracellular recording is an electrophysiology technique that uses a microelectrode inserted into a single cell, usually a neuron, to measure its electrical activity.
The parallel intracellular recording of neurons via an array of 4,096 microhole electrodes on a semiconductor chip enables the large-scale mapping of synaptic connections, as shown with rat neuronal cultures.
Intracellular recording involves puncturing the cell membrane to gain access to the cell. In this work, the authors introduce a puncture-free intracellular recording approach that leverages a deep learning model to translate extracellular recordings into intracellular signals.
