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Connectome of a human foveal retina
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Connectome of a human foveal retina

Yeon Jin Kim, Orin Packer, Thomas Macrina +16 more
January 2026
 ·
bioRxiv
 ·
DOI 
10.1101/2025.04.05.647403
94
%
Reproducible
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QED's automated review checked the evidence supporting each claim, the statistical methods, and whether the results are reproducible from the data provided.

It ranks in the top 1% of preprints assessed in Neuroscience this quarter.
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Why this is interesting

Delivering the first complete synaptic connectome of any human CNS structure, this paper reveals human-specific color vision circuits absent in non-human primates and reframes how the retina encodes visual information before its very first chemical synapse.

QED claims analysis

Summary

AI-based nanoscale reconstruction of human foveal retina reveals a dramatic reduction to only 11 visual pathways (with 5 pathways accounting for >95% of brain output) compared to 40+ pathways in mouse retina, and identifies human-specific synaptic circuits including S-LM cone electrical coupling and trichromatic horizontal cell connectivity that uniquely contribute to human color vision prior to the first chemical synapse.

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Main Claim 1 –

Deep learning reconstructs complete human foveal synaptic connectome

Supporting evidence

  • Human fovea photoreceptor census reveals abundant S–LM cone contacts
  • Human foveal H1 horizontal cells receive substantial S-cone input
  • Novel human foveal bipolar types: outer-x, inner-x, DBbroad
  • Human fovea has 19 amacrine types; AII most abundant
  • AI synapse detection achieves high ribbon and inhibitory accuracy
Main Claim 2 –

Human fovea has 11 visual pathways; five dominate output

Supporting evidence

  • Foveal AII amacrines receive input from all cone bipolar types
Main Claim 3 –

S–LM cone gap junctions enable pre-synaptic chromatic interactions

Main Claim 4 –

Single-cone signals mainly feed midget and parasol pathways

Abstract

The fovea is a unique specialization of the primate retina and is a promising site for obtaining the first complete connectome of a human central nervous system (CNS) structure. Within the fovea, neural cells and circuits have been miniaturized and compressed during evolution to sample the visual image at highest spatial resolution and begin the neural processing that serves human form, color, and motion perception. Here we present a comprehensive analysis of a sample of human foveal retina using deep learning-based segmentation to reconstruct all cells and synaptic connections at nanoscale resolution. We classified ∼3,000 cells into 51 distinct morphological types based on their structural features and connectivity patterns. Our observations reveal novel synaptic pathways absent in non-human primates, suggesting specialized circuits contribute uniquely to human trichromatic color vision. A biophysical model of the distinct connectomes made by gap junctions (electrical synapses) between short- (S) and medium-long- (ML) wavelength-sensitive cone photoreceptors, suggests chromatic interactions between S and ML cones prior to the first chemical synapse. Segmentation of retinal ganglion cells (RGCs) suggests the presence of only 11 visual pathways, with 5 high-density RGC pathways accounting for over 95% of foveal output to the brain: a dramatic contrast to the 40+ ganglion cell types recognized in mouse retina. Our connectomic analysis reveals distinctive features of human neural circuitry and demonstrates how AI-based computational approaches can advance understanding of human brain structure and function.

Significant statement

Vision begins in the retina, an accessible outpost of the brain located at the back of the eye. When we directly view an object, we use the fovea—a tiny region containing over 50 distinct, densely packed neuron types. How these diverse cells interconnect through synapses to transmit visual information has been difficult to determine. Here, we used artificial intelligence-based computational methods to create a complete wiring diagram—a connectome—mapping every neuron and synapse in a sample of human fovea. This connectomic resource will be freely available to researchers worldwide. Discoveries so far include synaptic circuits linked to human color vision, demonstrating how connectomics can reveal what makes the human nervous system unique.

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