Back

Dynamic Predictive Spatial Encoding of Motor Intentions In Area V6A of the Posterior Parietal Cortex

Buonfiglio, A. R.; Diomedi, S.; Filippini, M.; Fattori, P.; Stoianov, I. P.

2025-02-08 neuroscience
10.1101/2025.02.06.636800 bioRxiv
Show abstract

To compute motor plans or intentions, the nervous system must translate tar-get locations into body-centered coordinates. Visual stimuli, however, are sensed in retinotopic coordinates, which shift with eye movements. Furthermore, sen-sorimotor delays necessitate predictive processing. How does the brain compute timely gaze-invariant target locations? The dorsal visual pathway encodes spa-tial intentions, yet the underlying dynamic mechanisms remain elusive. Using multilevel analysis, we characterized intention coding in area V6A of the Pos-terior Parietal Cortex during delayed reaching tasks under diverse gaze-target conditions. We revealed a consistent population-level intention coding in V6A as eye positions changed. Next, we identified differential single-cell encoding of gaze and reaching targets in retinotopic, gaze-posture, and body-centered coordinates and elucidated the dynamical spatial normalization. Finally, we demonstrated context-dependent predictive spatial encoding in V6A, advancing our understand-ing of the temporal evolution of predictive visuomotor transformations during motor planning.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.