ArticleeLife2018
Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed.
- Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex.Nature neuroscience · 2025Article
- Article
- A unifying perspective on neural manifolds and circuits for cognition.Nature reviews. Neuroscience · 2023Review
- Attractor and integrator networks in the brain.Nature reviews. Neuroscience · 2022Review
- Multiple bumps can enhance robustness to noise in continuous attractor networks.PLoS computational biology · 2022Article
- Systematic errors in connectivity inferred from activity in strongly recurrent networks.Nature neuroscience · 2020Article
- Inference of synaptic connectivity and external variability in neural microcircuits.Journal of computational neuroscience · 2020Article
- Grid cell co-activity patterns during sleep reflect spatial overlap of grid fields during active behaviors.Nature neuroscience · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
A goal of systems neuroscience is to discover the circuit mechanisms underlying brain function. Despite experimental advances that enable circuit-wide neural recording, the problem remains open in part because solving the 'inverse problem' of inferring circuity and mechanism by merely observing activity is hard. In the grid cell system, we show through modeling that a technique based on global circuit perturbation and examination of a novel theoretical object called the
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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.