ArticleeLife2018
Constraints on neural redundancy.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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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.
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Who cites it
36 citing papers in PubMed.
- Human learning of noninvasive brain-computer interfaces via manifold geometry.Nature neuroscience · 2026Article
- Brain-computer interfaces as a causal probe for scientific inquiry.Trends in cognitive sciences · 2026Review
- Fluctuation-learning relationship in recurrent neural networks.Nature communications · 2025Article
- Dynamical constraints on neural population activity.Nature neuroscience · 2025Article
- A theory of brain-computer interface learning via low-dimensional control.bioRxiv : the preprint server for biology · 2025Article
- Neuromorphic computing at scale.Nature · 2025Review
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- Modelling low-dimensional interacting brain networks reveals organising principle in human cognition.Network neuroscience (Cambridge, Mass.) · 2025Article
- Choosing explanation over performance: Insights from machine learning-based prediction of human intelligence from brain connectivity.PNAS nexus · 2024Article
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- Learning leaves a memory trace in motor cortex.Current biology : CB · 2024Article
- Invariant neural dynamics drive commands to control different movements.Current biology : CB · 2023Article
- Evolutionary dynamics of mushroom body Kenyon cell types in hymenopteran brains from multifunctional type to functionally specialized types.Science advances · 2023Article
- Multi-view manifold learning of human brain-state trajectories.Nature computational science · 2023Article
- Cognition is entangled with metabolism: relevance for resting-state EEG-fMRI.Frontiers in human neuroscience · 2023Article
- Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding.Nature communications · 2022Article
- Estimating Intrinsic Manifold Dimensionality to Classify Task-Related Information in Human and Non-Human Primate Data.IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference · 2022Article
- Volitional Generation of Reproducible, Efficient Temporal Patterns.Brain sciences · 2022Article
- From Parametric Representation to Dynamical System: Shifting Views of the Motor Cortex in Motor Control.Neuroscience bulletin · 2022Review
- Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Millions of neurons drive the activity of hundreds of muscles, meaning many different neural population activity patterns could generate the same movement. Studies have suggested that these redundant (i.e. behaviorally equivalent) activity patterns may be beneficial for neural computation. However, it is unknown what constraints may limit the selection of different redundant activity patterns. We leveraged a brain-computer interface, allowing us to define precisely which neural activity patterns were redundant. Rhesus monkeys made cursor movements by modulating neural activity in primary motor cortex. We attempted to predict the observed distribution of redundant neural activity. Principles inspired by work on muscular redundancy did not accurately predict these distributions. Surprisingly, the distributions of redundant neural activity and task-relevant activity were coupled, which enabled accurate predictions of the distributions of redundant activity. This suggests limits on the extent to which redundancy may be exploited by the brain for computation.
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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.