ArticleNature neuroscience2014
A temporal basis for predicting the sensory consequences of motor commands in an electric fish.
Article in Nature neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.
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Who cites it
99 citing papers in PubMed, 210 citations in OpenAlex.
- Article
- The Human Cerebellum Encodes Temporally Sensitive Reinforcement Learning Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Neural circuits encode prior knowledge of temporal statistics.Nature neuroscience · 2026Article
- Cerebellar Time and Relative Time: A Comparator-Based Dynamical Timing Model and its Relevance to Psychopathology and Therapies.Cerebellum (London, England) · 2026Review
- The human cerebellum encodes temporally sensitive reinforcement learning signals.bioRxiv : the preprint server for biology · 2025Article
- Cerebellar circuit computations for predictive motor control.Nature reviews. Neuroscience · 2025Review
- Correctness is its own reward: bootstrapping error signals in self-guided reinforcement learning.bioRxiv : the preprint server for biology · 2025Article
- Spatial constraints and cell surface molecule depletion structure a randomly connected learning circuit.Current biology : CB · 2025Article
- Control Principles of Neural Dynamics Revealed by the Neurobiology of Timing.Annual review of neuroscience · 2025Review
- Neural circuit mechanisms to transform cerebellar population dynamics for motor control in monkeys.bioRxiv : the preprint server for biology · 2025Article
- Article
- Ants integrate proprioception as well as visual context and efference copies to make robust predictions.Nature communications · 2024Article
- Realistic mossy fiber input patterns to unipolar brush cells evoke a continuum of temporal responses comprised of components mediated by different glutamate receptors.bioRxiv : the preprint server for biology · 2024Article
- A cerebellar granule cell-climbing fiber computation to learn to track long time intervals.Neuron · 2024Article
- Comparing the Representation of a Simple Visual Stimulus across the Cerebellar Network.eNeuro · 2024Article
- Review
- Local synaptic inhibition mediates cerebellar granule cell pattern separation and enables learned sensorimotor associations.Nature neuroscience · 2024Article
- Contiguity in perception: origins in cellular associative computations.Trends in neurosciences · 2024Review
- A system of feed-forward cerebellar circuits that extend and diversify sensory signaling.eLife · 2024Article
- Predictive neural computations in the cerebellum contribute to motor planning and faster behavioral responses in larval zebrafish.Science advances · 2024Article
39 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Mormyrid electric fish are a model system for understanding how neural circuits predict the sensory consequences of motor acts. Medium ganglion cells in the electrosensory lobe create negative images that predict sensory input resulting from the fish's electric organ discharge (EOD). Previous studies have shown that negative images can be created through plasticity at granule cell-medium ganglion cell synapses, provided that granule cell responses to the brief EOD command are sufficiently varied and prolonged. Here we show that granule cells indeed provide such a temporal basis and that it is well-matched to the temporal structure of self-generated sensory inputs, allowing rapid and accurate sensory cancellation and explaining paradoxical features of negative images. We also demonstrate an unexpected and critical role of unipolar brush cells (UBCs) in generating the required delayed responses. These results provide a mechanistic account of how copies of motor commands are transformed into sensory predictions.
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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.