ArticleNeuron2012
Reciprocal inhibition of inhibition: a circuit motif for flexible categorization in stimulus selection.
Article in Neuron, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Centralized brain networks controlling antennal grooming coordination.Nature communications · 2026Article
- Feeding state-dependent neuropeptidergic modulation of reciprocally interconnected inhibitory neurons biases sensorimotor decisions in Drosophila.Nature communications · 2025Article
- The dynamics of stimulus selection in the nucleus isthmi pars magnocellularis of avian midbrain network.Scientific reports · 2025Article
- Neural flip-flops I: Short-term memory.PloS one · 2024Article
- Multilevel visual motion opponency in Drosophila.Nature neuroscience · 2023Article
- Excitatory and Inhibitory Descending Commissural Interneurons Differentially Integrate Supraspinal and Segmental Sensory Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Distinct neural mechanisms construct classical versus extraclassical inhibitory surrounds in an inhibitory nucleus in the midbrain attention network.Nature communications · 2023Article
- A Midbrain Inspired Recurrent Neural Network Model for Robust Change Detection.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Directional Preference in Avian Midbrain Saliency Computing Nucleus Reflects a Well-Designed Receptive Field Structure.Animals : an open access journal from MDPI · 2022Article
- Donut-like organization of inhibition underlies categorical neural responses in the midbrain.Nature communications · 2022Article
- The Ecological View of Selective Attention.Frontiers in integrative neuroscience · 2022Article
- Article
- Inhibitory neurons in the superior colliculus mediate selection of spatially-directed movements.Communications biology · 2021Article
- Autonomous Flying With Neuromorphic Sensing.Frontiers in neuroscience · 2021Article
- Evolution of neural processing for visual perception in vertebrates.The Journal of comparative neurology · 2020Review
- Article
- Categorical Signaling of the Strongest Stimulus by an Inhibitory Midbrain Nucleus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Optic tectal superficial interneurons detect motion in larval zebrafish.Protein & cell · 2019Article
- A Temporal Filter for Binaural Hearing Is Dynamically Adjusted by Sound Pressure Level.Frontiers in neural circuits · 2019Article
- Spatial Dependence of Stimulus Competition in the Avian Nucleus Isthmi Pars Magnocellularis.Brain, behavior and evolution · 2019Article
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2 authors.
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Abstract
As a precursor to the selection of a stimulus for gaze and attention, a midbrain network categorizes stimuli into "strongest" and "others." The categorization tracks flexibly, in real time, the absolute strength of the strongest stimulus. In this study, we take a first-principles approach to computations that are essential for such categorization. We demonstrate that classical feedforward lateral inhibition cannot produce flexible categorization. However, circuits in which the strength of lateral inhibition varies with the relative strength of competing stimuli categorize successfully. One particular implementation--reciprocal inhibition of feedforward lateral inhibition--is structurally the simplest, and it outperforms others in flexibly categorizing rapidly and reliably. Strong predictions of this anatomically supported circuit model are validated by neural responses measured in the owl midbrain. The results demonstrate the extraordinary power of a remarkably simple, neurally grounded circuit motif in producing flexible categorization, a computation fundamental to attention, perception, and decision making.
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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.