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A direct-to-drive neural data acquisition system.

Justin P Kinney¹, Jacob G Bernstein¹, Andrew J Meyer²

¹Synthetic Neurobiology Laboratory, Media Lab and McGovern Institute, Departments of Brain and Cognitive Sciences and Biological Engineering, Massachusetts Institute of Technology Cambridge, MA, USA.

Frontiers in Neural Circuits

|September 22, 2015

Summary

This summary is machine-generated.

New electrophysiology data acquisition systems bypass personal computers for direct hard drive storage. This novel architecture enhances scalability and reduces costs for high-throughput neural recordings.

Keywords:

FPGA data acquisition electrode array neural recording scalable

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Area of Science:

Neuroscience
Computer Engineering

Background:

Increasing channel counts in neural probes necessitate scalable electrophysiology data acquisition (DAQ) systems.
Current DAQ systems rely on personal computers, limiting data storage bandwidth and increasing costs with scale.

Purpose of the Study:

To present a novel, minimalist architecture for electrophysiology data acquisition.
To overcome the limitations of personal computer-based data storage in high-channel-count neural recordings.

Main Methods:

A digital processor receives data from an analog-to-digital converter.
Data is written directly to hard drives, bypassing personal computer intermediaries.

Main Results:

The proposed architecture supports exceptionally high data throughput.
Eliminates costs associated with unnecessary personal computer hardware and overhead.

Conclusions:

This minimalist DAQ architecture facilitates future scaling of electrophysiological recording.
Enables cost-effective, high-bandwidth data acquisition for neuroscience research.