ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016
Retinal Circuitry Balances Contrast Tuning of Excitation and Inhibition to Enable Reliable Computation of Direction Selectivity.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 54 citations in OpenAlex.
- Machine learning discovers numerous new computational principles supporting elementary motion detection.Nature communications · 2026Article
- Unraveling the role of asymmetric excitatory and inhibitory synaptic inputs to retinal ganglion cell direction selectivity.Frontiers in neuroscience · 2026Article
- Activity-dependent development of synaptic circuits mediates direction selectivity in an axis-specific manner.Cell reports · 2025Article
- Asymmetries in the Architecture of ON and OFF Arbors in ON-OFF Direction-Selective Ganglion Cells.The Journal of comparative neurology · 2025Article
- Article
- GABAergic Inhibition Controls Receptive Field Size, Sensitivity, and Contrast Preference of Direction Selective Retinal Ganglion Cells Near the Threshold of Vision.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Neural Circuits Underlying Multifeature Extraction in the Retina.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- A presynaptic source drives differing levels of surround suppression in two mouse retinal ganglion cell types.Nature communications · 2024Article
- Heterogeneous presynaptic receptive fields contribute to directional tuning in starburst amacrine cells.eLife · 2023Article
- Heterogeneous presynaptic receptive fields contribute to directional tuning in starburst amacrine cells.bioRxiv : the preprint server for biology · 2023Article
- A circuit suppressing retinal drive to the optokinetic system during fast image motion.Nature communications · 2023Article
- Large-scale interrogation of retinal cell functions by 1-photon light-sheet microscopy.Cell reports methods · 2023Article
- Asymmetric retinal direction tuning predicts optokinetic eye movements across stimulus conditions.eLife · 2023Article
- Classical center-surround receptive fields facilitate novel object detection in retinal bipolar cells.Nature communications · 2022Article
- Cholinergic feedback to bipolar cells contributes to motion detection in the mouse retina.Cell reports · 2021Article
- Realistic retinal modeling unravels the differential role of excitation and inhibition to starburst amacrine cells in direction selectivity.PLoS computational biology · 2021Article
- Structure, Function, and Pharmacology of Glutamate Receptor Ion Channels.Pharmacological reviews · 2021Review
- High Contrast Allows the Retina to Compute More Than Just Contrast.Frontiers in cellular neuroscience · 2020Article
- Determination of effective synaptic conductances using somatic voltage clamp.PLoS computational biology · 2019Article
- The dynamic receptive fields of retinal ganglion cells.Progress in retinal and eye research · 2018Review
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
unlabelledFeedforward (FF) inhibition is a common motif in many neural networks. Typically, excitatory inputs drive both principal neurons and interneurons; the interneurons then inhibit the principal neurons, thereby regulating the strength and timing of the FF signal. The interneurons introduce a likely nonlinear processing step that could distort the excitation/inhibition (E/I) ratio in the principal neuron, potentially degrading the reliability of computation in the circuit. In the retina, FF inhibition is an essential feature of the circuitry underlying direction selectivity (DS): glutamatergic bipolar cells (BCs) provide excitatory input to direction-selective ganglion cells (DSGCs) and GABAergic starburst amacrine cells (SACs), and the SACs then provide FF inhibition onto DSGCs. Robust DS computation requires a consistent synaptic E/I ratio in the DSGC in various visual conditions. Here, we show in mouse retina that the E/I ratio is maintained in DSGCs over a wide stimulus contrast range due to compensatory mechanisms in the diverse population of presynaptic BCs. BC inputs to SACs exhibit higher contrast sensitivity, so that the subsequent nonlinear transformation in SACs reduces the contrast sensitivity of FF inhibition to match the sensitivity of direct excitatory inputs onto DSGCs. Measurements of light-evoked responses from individual BC synaptic terminals suggest that the distinct sensitivity of BC inputs reflects different contrast sensitivity between BC subtypes. Numerical simulations suggest that this network arrangement is crucial for reliable DS computation. SIGNIFICANCE STATEMENT: Properly balanced excitation and inhibition are essential for many neuronal computations across brain regions. Feedforward inhibition circuitry, in which a common excitatory source drives both the principal cell and an interneuron, is a typical mechanism by which neural networks maintain this balance. Feedforward circuits may become imbalanced at low stimulation levels, however, if the excitatory drive is too weak to overcome the activation threshold in the interneuron. Here we reveal how excitation and inhibition remain balanced in direction selective ganglion cells in the mouse retina over a wide visual stimulus range.
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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.