ReviewNature neuroscience2019
Stimulus- and goal-oriented frameworks for understanding natural vision.
Review in Nature neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Fly navigational responses exploit plume-specific odor motion and gradient cues.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Modeling spatial contrast sensitivity in responses of primate retinal ganglion cells to natural movies.PLoS computational biology · 2026Article
- Multiple mechanisms of response suppression to self-induced sensation during pursuit eye movements.Royal Society open science · 2025Article
- Wordsworth: A generative word dataset for comparison of speech representations in humans and neural networks.Scientific data · 2025Article
- Relating natural image statistics to patterns of response covariability in macaque primary visual cortex.Nature communications · 2025Article
- Article
- Optimal feature encoding in early vision.Scientific reports · 2025Article
- Universality of representation in biological and artificial neural networks.bioRxiv : the preprint server for biology · 2024Article
- Predictably manipulating photoreceptor light responses to reveal their role in downstream visual responses.eLife · 2024Article
- Article
- Optimization in Visual Motion Estimation.Annual review of vision science · 2024Review
- Predictably manipulating photoreceptor light responses to reveal their role in downstream visual responses.bioRxiv : the preprint server for biology · 2024Article
- The vertebrate retina: a window into the evolution of computation in the brain.Current opinion in behavioral sciences · 2024Review
- Synaptic Origins of the Complex Receptive Field Structure in Primate Smooth Monostratified Retinal Ganglion Cells.eNeuro · 2024Article
- Neuro-inspired optical sensor array for high-accuracy static image recognition and dynamic trace extraction.Nature communications · 2023Article
- A large-scale fMRI dataset for the visual processing of naturalistic scenes.Scientific data · 2023Article
- Species-specific wiring of cortical circuits for small-world networks in the primary visual cortex.PLoS computational biology · 2023Article
- Efficient coding of natural scenes improves neural system identification.PLoS computational biology · 2023Article
- Systematic reduction of the dimensionality of natural scenes allows accurate predictions of retinal ganglion cell spike outputs.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- In-sensor image memorization and encoding via optical neurons for bio-stimulus domain reduction toward visual cognitive processing.Nature communications · 2022Article
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Authors and funding
4 authors.
Funding
Abstract
Our knowledge of sensory processing has advanced dramatically in the last few decades, but this understanding remains far from complete, especially for stimuli with the large dynamic range and strong temporal and spatial correlations characteristic of natural visual inputs. Here we describe some of the issues that make understanding the encoding of natural images a challenge. We highlight two broad strategies for approaching this problem: a stimulus-oriented framework and a goal-oriented one. Different contexts can call for one framework or the other. Looking forward, recent advances, particularly those based in machine learning, show promise in borrowing key strengths of both frameworks and by doing so illuminating a path to a more comprehensive understanding of the encoding of natural stimuli.
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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.