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Signal-independent noise in intracortical brain-computer interfaces causes movement time properties inconsistent with Fitts' law.


ABSTRACT: OBJECTIVE:Do movements made with an intracortical BCI (iBCI) have the same movement time properties as able-bodied movements? Able-bodied movement times typically obey Fitts' law: [Formula: see text] (where MT is movement time, D is target distance, R is target radius, and [Formula: see text] are parameters). Fitts' law expresses two properties of natural movement that would be ideal for iBCIs to restore: (1) that movement times are insensitive to the absolute scale of the task (since movement time depends only on the ratio [Formula: see text]) and (2) that movements have a large dynamic range of accuracy (since movement time is logarithmically proportional to [Formula: see text]). APPROACH:Two participants in the BrainGate2 pilot clinical trial made cortically controlled cursor movements with a linear velocity decoder and acquired targets by dwelling on them. We investigated whether the movement times were well described by Fitts' law. MAIN RESULTS:We found that movement times were better described by the equation [Formula: see text], which captures how movement time increases sharply as the target radius becomes smaller, independently of distance. In contrast to able-bodied movements, the iBCI movements we studied had a low dynamic range of accuracy (absence of logarithmic proportionality) and were sensitive to the absolute scale of the task (small targets had long movement times regardless of the [Formula: see text] ratio). We argue that this relationship emerges due to noise in the decoder output whose magnitude is largely independent of the user's motor command (signal-independent noise). Signal-independent noise creates a baseline level of variability that cannot be decreased by trying to move slowly or hold still, making targets below a certain size very hard to acquire with a standard decoder. SIGNIFICANCE:The results give new insight into how iBCI movements currently differ from able-bodied movements and suggest that restoring a Fitts' law-like relationship to iBCI movements may require non-linear decoding strategies.

SUBMITTER: Willett FR 

PROVIDER: S-EPMC5371026 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Signal-independent noise in intracortical brain-computer interfaces causes movement time properties inconsistent with Fitts' law.

Willett Francis R FR   Murphy Brian A BA   Memberg William D WD   Blabe Christine H CH   Pandarinath Chethan C   Walter Benjamin L BL   Sweet Jennifer A JA   Miller Jonathan P JP   Henderson Jaimie M JM   Shenoy Krishna V KV   Hochberg Leigh R LR   Kirsch Robert F RF   Ajiboye A Bolu AB  

Journal of neural engineering 20170208 2


<h4>Objective</h4>Do movements made with an intracortical BCI (iBCI) have the same movement time properties as able-bodied movements? Able-bodied movement times typically obey Fitts' law: [Formula: see text] (where MT is movement time, D is target distance, R is target radius, and [Formula: see text] are parameters). Fitts' law expresses two properties of natural movement that would be ideal for iBCIs to restore: (1) that movement times are insensitive to the absolute scale of the task (since mo  ...[more]

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