ArticleCurrent biology : CB2014
Neural coding: sparse but on time.
Article in Current biology : CB, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed.
- Model-agnostic linear-memory online learning in spiking neural networks.Nature communications · 2026Article
- Coding odor modality in piriform cortex efficiently with low-dimensional subspaces: a shared covariance decoding approach.Biological cybernetics · 2025Article
- Survey of temporal coding of sensory information.Frontiers in computational neuroscience · 2025Article
- Electrical synapses between inhibitory neurons shape the responses of principal neurons to transient inputs in the thalamus: a modeling study.Scientific reports · 2018Article
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2 authors.
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Abstract
To code information efficiently, sensory systems use sparse representations. In a sparse code, a specific stimulus activates only few spikes in a small number of neurons. A new study shows that the temporal pattern across sparsely activated neurons encodes information, suggesting that the sparse code extends into the time domain.
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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.