ArticleNature neuroscience2012
Disentangling the functional consequences of the connectivity between optic-flow processing neurons.
Article in Nature neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Homeostatic synaptic normalization optimizes learning in network models of neural population codes.eLife · 2024Article
- Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies.Nature communications · 2024Article
- The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Article
- Feedforward Inhibition Conveys Time-Varying Stimulus Information in a Collision Detection Circuit.Current biology : CB · 2018Article
- Emerging from the bottleneck: benefits of the comparative approach to modern neuroscience.Trends in neurosciences · 2015Review
- Near-optimal decoding of transient stimuli from coupled neuronal subpopulations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014Article
- Feature extraction and integration underlying perceptual decision making during courtship behavior.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
- Intermediate intrinsic diversity enhances neural population coding.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Typically, neurons in sensory areas are highly interconnected. Coupling two neurons can synchronize their activity and affect a variety of single-cell properties, such as their stimulus tuning, firing rate or gain. All of these factors must be considered to understand how two neurons should be coupled to optimally process stimuli. We quantified the functional effect of an interaction between two optic-flow processing neurons (Vi and H1) in the fly (Lucilia sericata). Using a generative model, we estimated a uni-directional coupling from H1 to Vi. Especially at a low signal-to-noise ratio (SNR), the coupling strongly improved the information about optic-flow in Vi. We identified two constraints confining the strength of the interaction. First, for weak couplings, Vi benefited from inputs by H1 without a concomitant shift of its stimulus tuning. Second, at both low and high SNR, the coupling strength lay in a range in which the information carried by single spikes is optimal.
Indexed as
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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.