ArticlePLoS computational biology2020
The hourglass organization of the Caenorhabditis elegans connectome.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Article
- A data-driven biology-based network model reproduces C. elegans premotor neural dynamics.PLoS computational biology · 2025Article
- Decomposed Linear Dynamical Systems (dLDS) models reveal instantaneous, context-dependent dynamic connectivity in C. elegans.Communications biology · 2025Article
- Review
- Non-negative connectivity causes bow-tie architecture in neural circuits.Frontiers in neural circuits · 2025Article
- Neuropeptide signaling network of Caenorhabditis elegans: from structure to behavior.Genetics · 2024Review
- Article
- Article
- Article
- A weighted network analysis framework for the hourglass effect-And its application in the C. elegans connectome.PloS one · 2021Article
- Multisensory integration in the mouse cortical connectome using a network diffusion model.Network neuroscience (Cambridge, Mass.) · 2020Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We approach the C. elegans connectome as an information processing network that receives input from about 90 sensory neurons, processes that information through a highly recurrent network of about 80 interneurons, and it produces a coordinated output from about 120 motor neurons that control the nematode's muscles. We focus on the feedforward flow of information from sensory neurons to motor neurons, and apply a recently developed network analysis framework referred to as the "hourglass effect". The analysis reveals that this feedforward flow traverses a small core ("hourglass waist") that consists of 10-15 interneurons. These are mostly the same interneurons that were previously shown (using a different analytical approach) to constitute the "rich-club" of the C. elegans connectome. This result is robust to the methodology that separates the feedforward from the feedback flow of information. The set of core interneurons remains mostly the same when we consider only chemical synapses or the combination of chemical synapses and gap junctions. The hourglass organization of the connectome suggests that C. elegans has some similarities with encoder-decoder artificial neural networks in which the input is first compressed and integrated in a low-dimensional latent space that encodes the given data in a more efficient manner, followed by a decoding network through which intermediate-level sub-functions are combined in different ways to compute the correlated outputs of the network. The core neurons at the hourglass waist represent the information bottleneck of the system, balancing the representation accuracy and compactness (complexity) of the given sensory information.
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