ArticleJournal of neurophysiology2011
Statistical assessment of the stability of neural movement representations.
Article in Journal of neurophysiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed.
- Neural subspaces of imagined movements in parietal cortex remain stable over several years in humans.Journal of neural engineering · 2024Trial
- Hand Motion Catalog of Human Center-Out Transport Trajectories Measured Redundantly in 3D Task-Space.Scientific data · 2025Article
- Measuring instability in chronic human intracortical neural recordings towards stable, long-term brain-computer interfaces.Communications biology · 2024Article
- Mechanically adaptive and deployable intracortical probes enable long-term neural electrophysiological recordings.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Learning leaves a memory trace in motor cortex.Current biology : CB · 2024Article
- Neural subspaces of imagined movements in parietal cortex remain stable over several years in humans.bioRxiv : the preprint server for biology · 2023Article
- Neural ensembles in the murine medial prefrontal cortex process distinct information during visual perceptual learning.BMC biology · 2023Article
- Long-term stability of single neuron activity in the motor system.Nature neuroscience · 2022Article
- Drifting neuronal representations: Bug or feature?Biological cybernetics · 2022Review
- Highly unstable heterogeneous representations in VIP interneurons of the anterior cingulate cortex.Molecular psychiatry · 2022Article
- Stimulus-dependent representational drift in primary visual cortex.Nature communications · 2021Article
- Encoding of limb state by single neurons in the cuneate nucleus of awake monkeys.Journal of neurophysiology · 2021Article
- Dendritic calcium signals in rhesus macaque motor cortex drive an optical brain-computer interface.Nature communications · 2021Article
- Sensory feedback-dependent coding of arm position in local field potentials of the posterior parietal cortex.Scientific reports · 2021Article
- Plug-and-play control of a brain-computer interface through neural map stabilization.Nature biotechnology · 2021Article
- Maintained Representations of the Ipsilateral and Contralateral Limbs during Bimanual Control in Primary Motor Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Stabilization of a brain-computer interface via the alignment of low-dimensional spaces of neural activity.Nature biomedical engineering · 2020Article
- Long-term stability of cortical population dynamics underlying consistent behavior.Nature neuroscience · 2020Article
- Chronic stability of single-channel neurophysiological correlates of gross and fine reaching movements in the rat.PloS one · 2019Article
- A simulation study on the effects of neuronal ensemble properties on decoding algorithms for intracortical brain-machine interfaces.Biomedical engineering online · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
In systems neuroscience, neural activity that represents movements or sensory stimuli is often characterized by spatial tuning curves that may change in response to training, attention, altered mechanics, or the passage of time. A vital step in determining whether tuning curves change is accounting for estimation uncertainty due to measurement noise. In this study, we address the issue of tuning curve stability using methods that take uncertainty directly into account. We analyze data recorded from neurons in primary motor cortex using chronically implanted, multielectrode arrays in four monkeys performing center-out reaching. With the use of simulations, we demonstrate that under typical experimental conditions, the effect of neuronal noise on estimated preferred direction can be quite large and is affected by both the amount of data and the modulation depth of the neurons. In experimental data, we find that after taking uncertainty into account using bootstrapping techniques, the majority of neurons appears to be very stable on a timescale of minutes to hours. Lastly, we introduce adaptive filtering methods to explicitly model dynamic tuning curves. In contrast to several previous findings suggesting that tuning curves may be in constant flux, we conclude that the neural representation of limb movement is, on average, quite stable and that impressions to the contrary may be largely the result of measurement noise.
Indexed as
Identifiers
What OpenQuestion holds
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.