Readout of the intrinsic and extrinsic properties of stimuli from unexperienced neuronal activities
Résumé
While sensory and motor systems have attracted most of the research effort in Brain-Computer Interfaces (BCI), little attention has been devoted to higher order cortical processes (Andersen et al., 2004). Here, we propose to apply BCIs to the study and manipulation of visuospatial attention, an endogenous process at the interface between sensory and motor functions. As a first step to this aim, we investigate whether the activity of a population of frontal eye field neurons (FEF) in response to an endogenous cue can be readout on a trial by trial basis to provide a precise description of the cue's attributes, namely, its location and identity, but also the allocation of attention following its interpretation. Using the procedure described in Ben Hamed et al. (2003, 2007), we reach over 85% correct predictions for all decoded variables, including the spatial allocation of endogenous attention. We show that the decoding performance drops on incorrect trials, indicating that cue encoding participates to the animal's behavioral performance. Last, we show that the temporal resolution of the decoding influences readout performance. These results are a strong indication of the feasibility of the readout of endogenous variables by standard decoding algorithms, on a suboptimal dataset.
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