ArticleNeuron2019
Convergent Temperature Representations in Artificial and Biological Neural Networks.
Article in Neuron, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
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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
13 citing papers in PubMed.
- Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents.Proceedings of the ... Conference on Cognitive Computational Neuroscience · 2026Article
- Review
- Article
- Vertebrate behavioral thermoregulation: knowledge and future directions.Neurophotonics · 2024Review
- Bayesian inference is facilitated by modular neural networks with different time scales.PLoS computational biology · 2024Article
- Article
- Contrasting action and posture coding with hierarchical deep neural network models of proprioception.eLife · 2023Article
- From calcium imaging to graph topology.Network neuroscience (Cambridge, Mass.) · 2022Review
- Review
- Predicting individual neuron responses with anatomically constrained task optimization.Current biology : CB · 2021Article
- Theoretical principles for illuminating sensorimotor processing with brain-wide neuronal recordings.Current opinion in neurobiology · 2020Review
- Whole-brain interactions underlying zebrafish behavior.Current opinion in neurobiology · 2020Review
- Harnessing behavioral diversity to understand neural computations for cognition.Current opinion in neurobiology · 2019Review
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Authors and funding
3 authors.
Funding
Abstract
Discoveries in biological neural networks (BNNs) shaped artificial neural networks (ANNs) and computational parallels between ANNs and BNNs have recently been discovered. However, it is unclear to what extent discoveries in ANNs can give insight into BNN function. Here, we designed and trained an ANN to perform heat gradient navigation and found striking similarities in computation and heat representation to a known zebrafish BNN. This included shared ON- and OFF-type representations of absolute temperature and rates of change. Importantly, ANN function critically relied on zebrafish-like units. We furthermore used the accessibility of the ANN to discover a new temperature-responsive cell type in the zebrafish cerebellum. Finally, constraining the ANN by the C. elegans motor repertoire retuned sensory representations indicating that our approach generalizes. Together, these results emphasize convergence of ANNs and BNNs on stereotypical representations and that ANNs form a powerful tool to understand their biological counterparts.
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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.