ArticleCurrent biology : CB2017
Neural Circuit Inference from Function to Structure.
Article in Current biology : CB, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Modeling spatial contrast sensitivity in responses of primate retinal ganglion cells to natural movies.PLoS computational biology · 2026Article
- Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex.Nature neuroscience · 2026Article
- Filter-based models of suppression in retinal ganglion cells: Comparison and generalization across species and stimuli.PLoS computational biology · 2025Article
- Applying Super-Resolution and Tomography Concepts to Identify Receptive Field Subunits in the Retina.PLoS computational biology · 2024Article
- Emergence of input selective recurrent dynamics via information transfer maximization.Scientific reports · 2024Article
- Efficient coding of natural scenes improves neural system identification.PLoS computational biology · 2023Article
- Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration.PLoS computational biology · 2022Article
- Retina organoids: Window into the biophysics of neuronal systems.Biophysics reviews · 2022Review
- Fixed Point Attractor Theory Bridges Structure and Function inFrontiers in neuroscience · 2022Article
- Nonlinear Spatial Integration Underlies the Diversity of Retinal Ganglion Cell Responses to Natural Images.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Anatomy and activity patterns in a multifunctional motor neuron and its surrounding circuits.eLife · 2021Article
- Feedback from retinal ganglion cells to the inner retina.PloS one · 2021Article
- Scalable and accurate method for neuronal ensemble detection in spiking neural networks.PloS one · 2021Article
- What the salamander eye has been telling the vision scientist's brain.Seminars in cell & developmental biology · 2020Review
- Understanding the retinal basis of vision across species.Nature reviews. Neuroscience · 2020Review
- Article
- A dynamic network model of temporal receptive fields in primary auditory cortex.PLoS computational biology · 2019Article
- Comparative Principles for Next-Generation Neuroscience.Frontiers in behavioral neuroscience · 2019Article
- DeepBehavior: A Deep Learning Toolbox for Automated Analysis of Animal and Human Behavior Imaging Data.Frontiers in systems neuroscience · 2019Article
- Probabilistic Encoding Models for Multivariate Neural Data.Frontiers in neural circuits · 2019Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Advances in technology are opening new windows on the structural connectivity and functional dynamics of brain circuits. Quantitative frameworks are needed that integrate these data from anatomy and physiology. Here, we present a modeling approach that creates such a link. The goal is to infer the structure of a neural circuit from sparse neural recordings, using partial knowledge of its anatomy as a regularizing constraint. We recorded visual responses from the output neurons of the retina, the ganglion cells. We then generated a systematic sequence of circuit models that represents retinal neurons and connections and fitted them to the experimental data. The optimal models faithfully recapitulated the ganglion cell outputs. More importantly, they made predictions about dynamics and connectivity among unobserved neurons internal to the circuit, and these were subsequently confirmed by experiment. This circuit inference framework promises to facilitate the integration and understanding of big data in neuroscience.
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Registered trials
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