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.

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

Buonfiglio, Antonio Roberto
Primo
Methodology
;
Diomedi, Stefano
Secondo
Writing – Review & Editing
;
Stoianov, Ivilin Peev
Ultimo
Writing – Original Draft Preparation
2025

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.
2025
Istituto di Scienze e Tecnologie della Cognizione - ISTC - Sede Secondaria Padova
Non-human primates, Sensorimotor control, Intentions, Reference Frame, Deep Networks, Decoding, Posterior Parietal Cortex, V6A
File in questo prodotto:
File Dimensione Formato  
2025.02.06.636800v1.full(4).pdf

accesso aperto

Descrizione: 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, (2025), bioRxiv DOI10.1101/2025.02.06.636800
Tipologia: Documento in Pre-print
Licenza: Creative commons
Dimensione 8.95 MB
Formato Adobe PDF
8.95 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/552260
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact