ArticleeLife2020
Mechanisms of competitive selection: A canonical neural circuit framework.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Evolutionarily old brainstem neurons are required for the control of selective spatial attention.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
- The barn owl in systems and behavioral neuroscience: Progress and promise.Current opinion in neurobiology · 2025Review
- Attentional processing in the rat dorsal posterior parietal cortex.Neurobiology of learning and memory · 2024Article
- Stop affordance task: a measure of the motor interference effect.Cognitive processing · 2024Article
- Reward-based option competition in human dorsal stream and transition from stochastic exploration to exploitation in continuous space.Science advances · 2024Article
- Article
- 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
- Flexible control of representational dynamics in a disinhibition-based model of decision-making.eLife · 2023Article
- Compensatory cognition in neurological diseases and aging: A review of animal and human studies.Aging brain · 2023Review
- Preattentive facilitation of target trajectories in a dragonfly visual neuron.Communications biology · 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
- Focusing on cognitive potential as the bright side of mental atypicality.Communications biology · 2022Review
- The Ecological View of Selective Attention.Frontiers in integrative neuroscience · 2022Article
- Create Machine Vision Inspired by Eagle Eye.Research (Washington, D.C.) · 2022Review
- Orienting our view of the superior colliculus: specializations and general functions.Current opinion in neurobiology · 2021Review
- The role of dorsal premotor cortex in joint action stopping.iScience · 2021Article
- Trans-inhibition of axon terminals underlies competition in the habenulo-interpeduncular pathway.Current biology : CB · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Competitive selection, the transformation of multiple competing sensory inputs and internal states into a unitary choice, is a fundamental component of animal behavior. Selection behaviors have been studied under several intersecting umbrellas including decision-making, action selection, perceptual categorization, and attentional selection. Neural correlates of these behaviors and computational models have been investigated extensively. However, specific, identifiable neural circuit mechanisms underlying the implementation of selection remain elusive. Here, we employ a first principles approach to map competitive selection explicitly onto neural circuit elements. We decompose selection into six computational primitives, identify demands that their execution places on neural circuit design, and propose a canonical neural circuit framework. The resulting framework has several links to neural literature, indicating its biological feasibility, and has several common elements with prominent computational models, suggesting its generality. We propose that this framework can help catalyze experimental discovery of the neural circuit underpinnings of competitive selection.
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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.