ReviewCurrent opinion in neurobiology2021
From synapse to network: models of information storage and retrieval in neural circuits.
Review in Current opinion in neurobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 22 citations in OpenAlex.
- Representational learning by optimization of neural manifolds in an olfactory memory network.Nature neuroscience · 2026Article
- The Dynamicist Landscape.Topics in cognitive science · 2026Article
- Pentylenetetrazole kindling impairs place recognition memory associated with suppressing proBDNF-mediated neural information flows at the hippocampal CA3-CA1 synapses.Frontiers in pharmacology · 2026Article
- Synaptic plasticity rules driving representational shifting in the hippocampus.Nature neuroscience · 2025Article
- Article
- Role of Neural Circuits in Cognitive Impairment.Neurochemical research · 2024Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
The mechanisms of information storage and retrieval in brain circuits are still the subject of debate. It is widely believed that information is stored at least in part through changes in synaptic connectivity in networks that encode this information and that these changes lead in turn to modifications of network dynamics, such that the stored information can be retrieved at a later time. Here, we review recent progress in deriving synaptic plasticity rules from experimental data and in understanding how plasticity rules affect the dynamics of recurrent networks. We show that the dynamics generated by such networks exhibit a large degree of diversity, depending on parameters, similar to experimental observations in vivo during delayed response tasks.
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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.