ArticlePLoS computational biology2018
Nonlinear decoding of a complex movie from the mammalian retina.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 6 citations in OpenAlex.
- Attention maps reveal stimulus-dependent retinal population codes.Frontiers in computational neuroscience · 2026Article
- Area MT carries acceleration information in a quickly and directly decodable representation.bioRxiv : the preprint server for biology · 2025Article
- Stimulus-invariant aspects of the retinal code drive discriminability of natural scenes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Homeostatic synaptic normalization optimizes learning in network models of neural population codes.eLife · 2024Article
- Fixational eye movements enhance the precision of visual information transmitted by the primate retina.Nature communications · 2024Article
- Fixational Eye Movements Enhance the Precision of Visual Information Transmitted by the Primate Retina.bioRxiv : the preprint server for biology · 2024Article
- Decoding dynamic visual scenes across the brain hierarchy.PLoS computational biology · 2024Article
- The tuning of tuning: How adaptation influences single cell information transfer.PLoS computational biology · 2024Article
- Learning low-dimensional generalizable natural features from retina using a U-net.Advances in neural information processing systems · 2022Article
- Cortical Representation of Touch in Silico.Neuroinformatics · 2022Article
- Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks.Patterns (New York, N.Y.) · 2021Article
- Efficient and robust coding in heterogeneous recurrent networks.PLoS computational biology · 2021Article
- Linear Response of General Observables in Spiking Neuronal Network Models.Entropy (Basel, Switzerland) · 2021Article
- Article
- Modeling a population of retinal ganglion cells with restricted Boltzmann machines.Scientific reports · 2020Article
- Article
- Speed-Selectivity in Retinal Ganglion Cells is Sharpened by Broad Spatial Frequency, Naturalistic Stimuli.Scientific reports · 2019Article
- Multiplexed computations in retinal ganglion cells of a single type.Nature communications · 2017Article
- Probabilistic models for neural populations that naturally capture global coupling and criticality.PLoS computational biology · 2017Article
- Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
Abstract
Retina is a paradigmatic system for studying sensory encoding: the transformation of light into spiking activity of ganglion cells. The inverse problem, where stimulus is reconstructed from spikes, has received less attention, especially for complex stimuli that should be reconstructed "pixel-by-pixel". We recorded around a hundred neurons from a dense patch in a rat retina and decoded movies of multiple small randomly-moving discs. We constructed nonlinear (kernelized and neural network) decoders that improved significantly over linear results. An important contribution to this was the ability of nonlinear decoders to reliably separate between neural responses driven by locally fluctuating light signals, and responses at locally constant light driven by spontaneous-like activity. This improvement crucially depended on the precise, non-Poisson temporal structure of individual spike trains, which originated in the spike-history dependence of neural responses. We propose a general principle by which downstream circuitry could discriminate between spontaneous and stimulus-driven activity based solely on higher-order statistical structure in the incoming spike trains.
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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.