ArticleJournal of computational neuroscience2011
Compositionality of arm movements can be realized by propagating synchrony.
Article in Journal of computational neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Adaptive control of synaptic plasticity integrates micro- and macroscopic network function.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Review
- Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation.PLoS computational biology · 2018Article
- Dynamic effective connectivity in cortically embedded systems of recurrently coupled synfire chains.Journal of computational neuroscience · 2016Article
- High-capacity embedding of synfire chains in a cortical network model.Journal of computational neuroscience · 2013Article
- Compositionality in neural control: an interdisciplinary study of scribbling movements in primates.Frontiers in computational neuroscience · 2013Article
- A reafferent and feed-forward model of song syntax generation in the Bengalese finch.Journal of computational neuroscience · 2011Article
- An imperfect dopaminergic error signal can drive temporal-difference learning.PLoS computational biology · 2011Article
- A compositionality machine realized by a hierarchic architecture of synfire chains.Frontiers in computational neuroscience · 2011Article
Corrections and comments
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Authors and funding
4 authors.
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Abstract
We present a biologically plausible spiking neuronal network model of free monkey scribbling that reproduces experimental findings on cortical activity and the properties of the scribbling trajectory. The model is based on the idea that synfire chains can encode movement primitives. Here, we map the propagation of activity in a chain to a linearly evolving preferred velocity, which results in parabolic segments that fulfill the two-thirds power law. Connections between chains that match the final velocity of one encoded primitive to the initial velocity of the next allow the composition of random sequences of primitives with smooth transitions. The model provides an explanation for the segmentation of the trajectory and the experimentally observed deviations of the trajectory from the parabolic shape at primitive transition sites. Furthermore, the model predicts low frequency oscillations (<10 Hz) of the motor cortex local field potential during ongoing movements and increasing firing rates of non-specific motor cortex neurons before movement onset.
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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.