Craniux: A LabVIEW-Based Modular Software Framework for Brain-Machine Interface Research

Table 1

List of current acquisition, signal processing, and application engines.

Engine name	Engine type	Description
Acquisition template	Acquisition	“Empty” acquisition engine generating random data used to maintain system dataflow
Read UDP binary	Acquisition	Reads raw neural data transmitted via UDP
SimECoG	Acquisition	Generates synthetic ECoG data
Signal processing template	Signal processing	“Empty” signal processing engine used to maintain system dataflow
Linear decoder	Signal processing	Generates a control signal using linear combinations of input features
Population vector	Signal processing	Generates a control signal using the population vector algorithm [18]
OLE	Signal processing	Generates a control signal using the optimal linear estimator algorithm [19]
Application template	Application	“Empty” application engine used to maintain system dataflow
Center-out cursor control	Application	Two or three-dimensional cursor control application
Threshold Crossing	Application	Sends UDP commands to an external device when control signals cross user-defined thresholds
Circle drawing	Application	Circle/ellipse-drawing application [20]
Biofeedback	Application	Displays real-time feedback of a neural control signal to the subject