ReviewNeuron2017
Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior.
Review in Neuron, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
98 citing papers in PubMed.
- Granger sensori-behavioral functional taxonomy of neuronal ensemble activity from two-photon calcium imaging data.PLoS computational biology · 2026Article
- Sensory-to-motor transformations: From serial pipelines to dynamic, distributed processes.Neuroscience and biobehavioral reviews · 2026Review
- Reassessing Choice Probability: What 59 Macaque Studies Tell Us About Decision-Related Activity in Visual Cortex.bioRxiv : the preprint server for biology · 2026Article
- Spatiotemporal Divergence Between Intrinsic And Evoked Cortical Activity Predicts Visual Detection.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Clarifying the conceptual dimensions of representation in neuroscience.Nature reviews. Neuroscience · 2026Review
- Contribution of spike timing to the neural code: from fast to slow timescales.Biological cybernetics · 2026Review
- A real-time all-optical interface for dynamic perturbation of neural activity during behavior.Cell reports methods · 2025Article
- Seeing what you hear: Compression of rat visual perceptual space by task-irrelevant sounds.PLoS computational biology · 2025Article
- Precise Extraction of Neural Motifs Reveals Multiscale, Parallel Encoding Schemes in Auditory Cortex.bioRxiv : the preprint server for biology · 2025Article
- Quantifying the link between retinal performance and the optomotor response.Current biology : CB · 2025Article
- Decoding olfactory bulb output: A behavioral assessment of rate, synchrony, and respiratory phase coding.iScience · 2025Article
- Multiphoton Neurophotonics: Recent Advances in Imaging and Manipulating Neuronal Circuits.ACS photonics · 2025Review
- Confirmation bias through selective readout of information encoded in human parietal cortex.Nature communications · 2025Article
- Confirmation Bias through Selective Readout of Information Encoded in Human Parietal Cortex.bioRxiv : the preprint server for biology · 2025Article
- MINT: A toolbox for the analysis of multivariate neural information coding and transmission.PLoS computational biology · 2025Article
- Specific Neural Coding of Complex Neural Network Based on Time Coding Under Various Exterior Stimuli.Biomimetics (Basel, Switzerland) · 2025Article
- From microelectrode arrays to all-optical and multimodal neural interfaces: emerging platforms for spatiotemporal interrogation ofFrontiers in synaptic neuroscience · 2025Review
- Survey of temporal coding of sensory information.Frontiers in computational neuroscience · 2025Article
- Testing the role of spontaneous activity in visuospatial perception with patterned optogenetics.PloS one · 2025Article
- Information-theoretic gradient flows in mouse visual cortex.Frontiers in neuroinformatics · 2025Article
38 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The two basic processes underlying perceptual decisions-how neural responses encode stimuli, and how they inform behavioral choices-have mainly been studied separately. Thus, although many spatiotemporal features of neural population activity, or "neural codes," have been shown to carry sensory information, it is often unknown whether the brain uses these features for perception. To address this issue, we propose a new framework centered on redefining the neural code as the neural features that carry sensory information used by the animal to drive appropriate behavior; that is, the features that have an intersection between sensory and choice information. We show how this framework leads to a new statistical analysis of neural activity recorded during behavior that can identify such neural codes, and we discuss how to combine intersection-based analysis of neural recordings with intervention on neural activity to determine definitively whether specific neural activity features are involved in a task.
Indexed as
Identifiers
What OpenQuestion holds
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.