ArticlePloS one2015
Information Flow through a Model of the C. elegans Klinotaxis Circuit.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Article
- Article
- Biophysical modeling of the whole-cell dynamics of C. elegans motor and interneurons families.PloS one · 2024Article
- Moral considerability of brain organoids from the perspective of computational architecture.Oxford open neuroscience · 2024Article
- Article
- Transitions in cognitive evolution.Proceedings. Biological sciences · 2023Review
- Neural model generating klinotaxis behavior accompanied by a random walk based on C. elegans connectome.Scientific reports · 2022Article
- Chemosensory signal transduction in Caenorhabditis elegans.Genetics · 2021Review
- Persistent thermal input controls steering behavior in Caenorhabditis elegans.PLoS computational biology · 2021Article
- Sources of predictive information in dynamical neural networks.Scientific reports · 2020Article
- Article
- The Cognitive Lens: a primer on conceptual tools for analysing information processing in developmental and regenerative morphogenesis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Review
- Complexity Measures: Open Questions and Novel Opportunities in the Automatic Design and Analysis of Robot Swarms.Frontiers in robotics and AI · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding how information about external stimuli is transformed into behavior is one of the central goals of neuroscience. Here we characterize the information flow through a complete sensorimotor circuit: from stimulus, to sensory neurons, to interneurons, to motor neurons, to muscles, to motion. Specifically, we apply a recently developed framework for quantifying information flow to a previously published ensemble of models of salt klinotaxis in the nematode worm Caenorhabditis elegans. Despite large variations in the neural parameters of individual circuits, we found that the overall information flow architecture circuit is remarkably consistent across the ensemble. This suggests structural connectivity is not necessarily predictive of effective connectivity. It also suggests information flow analysis captures general principles of operation for the klinotaxis circuit. In addition, information flow analysis reveals several key principles underlying how the models operate: (1) Interneuron class AIY is responsible for integrating information about positive and negative changes in concentration, and exhibits a strong left/right information asymmetry. (2) Gap junctions play a crucial role in the transfer of information responsible for the information symmetry observed in interneuron class AIZ. (3) Neck motor neuron class SMB implements an information gating mechanism that underlies the circuit's state-dependent response. (4) The neck carries more information about small changes in concentration than about large ones, and more information about positive changes in concentration than about negative ones. Thus, not all directions of movement are equally informative for the worm. Each of these findings corresponds to hypotheses that could potentially be tested in the worm. Knowing the results of these experiments would greatly refine our understanding of the neural circuit underlying klinotaxis.
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