In an automated methodology for carrying out in vivo cell patch clamping, a cell patch clamping device is automatically moved into position and targeted to a neuron. Neuron contact is determined by analyzing the temporal series of measured resistance levels at the cell patch clamping device as it is moved. The difference between successive resistance levels is computed and compared to a threshold, which must be exceeded for a minimum number of computations before neuron contact is assumed. Pneumatic control methods are used to achieve gigaseal formation and cell break-in, leading to whole-cell patch clamp formation. An automated robotic system capable of performing this methodology automatically performs patch clamping in vivo, automatically detecting cells by analyzing the temporal sequence of electrode impedance changes. By continuously monitoring the patching process and rapidly executing actions triggered by specific measurements, the robot can rapidly find neurons in the living brain and establish recordings.