ArticleScientific reports2019
Analysis of neuronal ensemble activity reveals the pitfalls and shortcomings of rotation dynamics.
Article in Scientific reports, 2019. 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, 47 citations in OpenAlex.
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- Prefrontal neuronal dynamics in the absence of task execution.Nature communications · 2024Article
- Why the simplest explanation isn't always the best.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Phantom oscillations in principal component analysis.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Delta-band neural tracking primarily reflects rule-based chunking instead of semantic relatedness between words.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Linking cortex and contraction-Integrating models along the corticomuscular pathway.Frontiers in physiology · 2023Article
- Validation of a non-invasive, real-time, human-in-the-loop model of intracortical brain-computer interfaces.Journal of neural engineering · 2022Article
- Modulation of neural co-firing to enhance network transmission and improve motor function after stroke.Neuron · 2022Review
- From Parametric Representation to Dynamical System: Shifting Views of the Motor Cortex in Motor Control.Neuroscience bulletin · 2022Review
- Transition from predictable to variable motor cortex and striatal ensemble patterning during behavioral exploration.Nature communications · 2022Article
- Neural tuning and representational geometry.Nature reviews. Neuroscience · 2021Review
- Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation.Neural computation · 2021Article
- A geometric framework for understanding dynamic information integration in context-dependent computation.iScience · 2021Article
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- Computation Through Neural Population Dynamics.Annual review of neuroscience · 2020Review
- Article
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
Abstract
Back in 2012, Churchland and his colleagues proposed that "rotational dynamics", uncovered through linear transformations of multidimensional neuronal data, represent a fundamental type of neuronal population processing in a variety of organisms, from the isolated leech central nervous system to the primate motor cortex. Here, we evaluated this claim using Churchland's own data and simple simulations of neuronal responses. We observed that rotational patterns occurred in neuronal populations when (1) there was a temporal sequence in peak firing rates exhibited by individual neurons, and (2) this sequence remained consistent across different experimental conditions. Provided that such a temporal order of peak firing rates existed, rotational patterns could be easily obtained using a rather arbitrary computer simulation of neural activity; modeling of any realistic properties of motor cortical responses was not needed. Additionally, arbitrary traces, such as Lissajous curves, could be easily obtained from Churchland's data with multiple linear regression. While these observations suggest that temporal sequences of neuronal responses could be visualized as rotations with various methods, we express doubt about Churchland et al.'s bold assessment that such rotations are related to "an unexpected yet surprisingly simple structure in the population response", which "explains many of the confusing features of individual neural responses". Instead, we argue that their approach provides little, if any, insight on the underlying neuronal mechanisms employed by neuronal ensembles to encode motor behaviors in any species.
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