A field-programmable gate array (FPGA)-based data acquisition system for closed-loop experiments

We describe a custom and open source field-programmable gate array (FPGA)-based data acquisition (DAQ) system developed for electrophysiology and generally useful for closed-loop feedback experiments. FPGA acquisition and processing are combined with high-speed analog and digital converters to enable real-time feedback. The digital approach eases experimental setup and repeatability by allowing for system identification and in situ tuning of filter bandwidths. The FPGA system includes I2C and serial peripheral interface controllers, 1 GiB dynamic RAM for data buffering, and a USB3 interface to Python software. The DAQ system uses common HDMI connectors to support daughtercards that can be customized for a given experiment to make the system modular and expandable. The FPGA-based digital signal processing (DSP) is used to generate fourth-order digital infinite impulse response filters and feedback with microsecond latency. The FPGA-based DSP and an analog inner-loop are demonstrated via an experiment that rapidly steps the voltage of a capacitor isolated from the system by a considerable resistance using a feedback approach that adjusts the driving voltage based on the digitized capacitor current. Published under an exclusive license by AIP Publishing.

Automated summary

This article describes a custom and open-source FPGA-based data acquisition system that is used for electrophysiology and closed-loop feedback experiments. The system combines FPGA acquisition and processing with high-speed analog and digital converters to enable real-time feedback. The digital approach simplifies experimental setup and repeatability by allowing for system identification and in situ tuning of filter bandwidths.