ArticleNeuron2017
Optimal Degrees of Synaptic Connectivity.
Article in Neuron, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers.
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Who cites it
185 citing papers in PubMed, 401 citations in OpenAlex.
- Purkinje Cells in Crus I and II Encode the Visual Stimulus and the Impending Choice as Monkeys Learn a Reinforcement-Based Visuomotor Association Task.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
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- Population geometries in frontal cortex coordinate value-based decisions.bioRxiv : the preprint server for biology · 2026Article
- Cerebellar microcircuits enable robust evidence-based decisions through cortico-cerebellar coupling.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Hippocampal CA3 connectomics reveals a gradient of mossy fiber inputs and selective feedforward inhibition onto pyramidal cells.Nature neuroscience · 2026Article
- Intrinsic Excitability of Rat Hippocampal Granule Cells Increases Along the Dorsal-to-Ventral Axis.Hippocampus · 2026Article
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- Entropy, Inhibition and Memory in Balanced Spiking Reservoirs.Entropy (Basel, Switzerland) · 2026Article
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- Random innervation of cerebellar Purkinje cells as a substrate for diverse representational learning.bioRxiv : the preprint server for biology · 2026Article
- Parkinsonism disrupts the population-level organization of cortical dynamics.bioRxiv : the preprint server for biology · 2026Article
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- A mathematical theory for understanding when abstract representations emerge in neural networks.ArXiv · 2026Article
- Granule cells reorient cortical manifolds to separate contexts but preserve their geometry.bioRxiv : the preprint server for biology · 2026Article
- Neural population geometry and optimal coding of tasks with shared latent structure.Nature neuroscience · 2026Article
- Sparse input representations explain odor discrimination in complex, concentration-varying mixtures.bioRxiv : the preprint server for biology · 2026Article
125 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
Abstract
Synaptic connectivity varies widely across neuronal types. Cerebellar granule cells receive five orders of magnitude fewer inputs than the Purkinje cells they innervate, and cerebellum-like circuits, including the insect mushroom body, also exhibit large divergences in connectivity. In contrast, the number of inputs per neuron in cerebral cortex is more uniform and large. We investigate how the dimension of a representation formed by a population of neurons depends on how many inputs each neuron receives and what this implies for learning associations. Our theory predicts that the dimensions of the cerebellar granule-cell and Drosophila Kenyon-cell representations are maximized at degrees of synaptic connectivity that match those observed anatomically, showing that sparse connectivity is sometimes superior to dense connectivity. When input synapses are subject to supervised plasticity, however, dense wiring becomes advantageous, suggesting that the type of plasticity exhibited by a set of synapses is a major determinant of connection density.
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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.