Aug 2026· Journal of Neuroscience· Vol 46· 0 citations
Medicine
TL;DR
It is demonstrated that an explicit and functionally organized representation of 3D hand position is a fundamental component of primate motor cortex, complementing dynamic motor signals to support high-fidelity motor control.
Abstract
A central question in motor neuroscience is how the brain represents the state of the limbs to guide volitional movements. While the primate motor cortex is known to encode movement kinematics, such as velocity and direction, whether it also maintains a direct and explicit representation of hand position in 3D space remains debated. To address this, we recorded the activity of single neurons in the primary motor cortex (M1) and dorsal premotor cortex (PMd) of two male rhesus macaques performing a naturalistic, self-paced 3D reach-and-grasp task. We found significant populations of neurons in both M1 (36.2%) and PMd (21.3%) that are robustly tuned to the instantaneous 3D position of the hand. In these neurons, the tuning for hand position—characterized by localized, elongated fields—coexists with tunings for other kinematic variables, reflecting the principle of mixed selectivity. Critically, the spatial organization of these representations differs between the two areas: M1 fields are systematically oriented along cardinal axes and exhibit multiscale spatial clustering, whereas PMd fields are more randomly organized. Furthermore, a small subset of these hand position-tuned cells is sufficient to decode the hand’s 3D trajectory with high fidelity. Our findings demonstrate that an explicit and functionally organized representation of 3D hand position is a fundamental component of primate motor cortex, complementing dynamic motor signals to support high-fidelity motor control.
These findings demonstrate that with appropriate inductive biases, specifically, dual-pathway architectures for multi-scale motion processing and training objectives focused on dynamic visual tasks, ANNs can develop functionally useful representations of motion-defined forms that exhibit better alignment with the visua...
Nastaran Darjani, S. Robert, Maryam Vaziri-Pashkam et al.· bioRxiv· 0 citations
This work explores the interactive neural representation of grasp and objects throughout the CGN and encoded both grasp and object properties simultaneously from mostly unique subpopulations of neurons in higher cortical regions.
Mackenzie J. Thurston, D. Bjånes, Sarah K. Wandelt et al.· bioRxiv· 0 citations
The results confirm the flexibility of spatial representations in parietal cortex and indicate that eye position signals provide spatial information in a wider range of behavioral contexts beyond visual and visuomotor processing.
K. Hadjidimitrakis, F. E. Vaccari, M. De Vitis et al.· iScience· 0 citations
Re-analyzed multi-area neural recordings from rhesus monkeys performing a reach-to-grasp task to many objects and found two key population-level features that indicate that the LDR dynamics framework applies to grasping as well as reaching and provides an entry point to understanding how grasp commands are generated.
Zulfar Ghulam-Jelani, Matt Kaufman· bioRxiv· 0 citations
The main finding was the identifi cation of a rostrocaudal gradient of connectivity in which the more the authors move from cranial to caudal body representation areas in Ml, the more the corresponding connected area in the medial wall is shifted rostrocaudally, confirming the somatotopic schema found in the SMA.
F. Cauda, '’ D ’Agata Federico Geminiani Giuliano, D. Sergio et al.· 8 citations
Classical neurogeometric models describe the primary visual cortex as a fibered structure in which retinal position and local orientation are coupled through the geometry of the roto-translation group. We extend this approach to the visuomotor cortex by modeling it as an assemblage of visual and motor cortical geometri...
Emre Baspinar, G. Citti, A. Sarti· bioRxiv· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.