ArticleiScience2020
Mixed Selectivity in Macaque Medial Parietal Cortex during Eye-Hand Reaching.
Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 38 citations in OpenAlex.
- Article
- Action-type mapping principles extend beyond evolutionarily conserved actions, even in people born without hands.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Neurophysiological recordings from parietal areas of macaque brain during an instructed-delay reaching task.Scientific data · 2024Article
- Decision-making processes in perceptual learning depend on effectors.Scientific reports · 2024Article
- Visual perceptual learning of feature conjunctions leverages non-linear mixed selectivity.NPJ science of learning · 2024Article
- Mixed Selectivity Coding of Content-Temporal Detail by Dorsomedial Posterior Parietal Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Similar neural states, but dissimilar decoding patterns for motor control in parietal cortex.Network neuroscience (Cambridge, Mass.) · 2024Article
- Visual sensitivity at the service of action control in posterior parietal cortex.Frontiers in physiology · 2024Review
- A Short Route for Reach Planning between Human V6A and the Motor Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Frontal eye fields in macaque monkeys: prefrontal and premotor contributions to visually guided saccades.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Distractibility and impulsivity neural states are distinct from selective attention and modulate the implementation of spatial attention.Nature communications · 2022Article
- Are reaching and grasping effector-independent? Similarities and differences in reaching and grasping kinematics between the hand and foot.Experimental brain research · 2022Article
- New insights on single-neuron selectivity in the era of population-level approaches.Frontiers in integrative neuroscience · 2022Review
- Vision for action: thalamic and cortical inputs to the macaque superior parietal lobule.Brain structure & function · 2021Review
- Parietal maps of visual signals for bodily action planning.Brain structure & function · 2021Review
- A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges.STAR protocols · 2021Article
- Concurrent neuroimaging and neurostimulation reveals a causal role for dlPFC in coding of task-relevant information.Communications biology · 2021Article
- Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The activity of neurons of the medial posterior parietal area V6A in macaque monkeys is modulated by many aspects of reach task. In the past, research was mostly focused on modulating the effect of single parameters upon the activity of V6A cells. Here, we used Generalized Linear Models (GLMs) to simultaneously test the contribution of several factors upon V6A cells during a fix-to-reach task. This approach resulted in the definition of a representative "functional fingerprint" for each neuron. We first studied how the features are distributed in the population. Our analysis highlighted the virtual absence of units strictly selective for only one factor and revealed that most cells are characterized by "mixed selectivity." Then, exploiting our GLM framework, we investigated the dynamics of spatial parameters encoded within V6A. We found that the tuning is not static, but changed along the trial, indicating the sequential occurrence of visuospatial transformations helpful to guide arm movement.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.