ArticleeLife2023
Model discovery to link neural activity to behavioral tasks.
Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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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Who cites it
7 citing papers in PubMed.
- Modulation of habenula axon terminals supports action-outcome associations in larval zebrafish.Nature communications · 2026Article
- PGE2 modulation of stimulus valence directs zebrafish behavioral fever.bioRxiv : the preprint server for biology · 2026Article
- Behavioral and circuit principles of temperature gradient navigation.Current biology : CB · 2025Article
- Sensorimotor integration enhances temperature stimulus processing.PLoS computational biology · 2025Article
- Article
- Cerebellar Purkinje Cells Control Posture in Larval Zebrafish (bioRxiv : the preprint server for biology · 2024Article
- Vertebrate behavioral thermoregulation: knowledge and future directions.Neurophotonics · 2024Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Brains are not engineered solutions to a well-defined problem but arose through selective pressure acting on random variation. It is therefore unclear how well a model chosen by an experimenter can relate neural activity to experimental conditions. Here, we developed 'model identification of neural encoding (MINE).' MINE is an accessible framework using convolutional neural networks (CNNs) to discover and characterize a model that relates aspects of tasks to neural activity. Although flexible, CNNs are difficult to interpret. We use Taylor decomposition approaches to understand the discovered model and how it maps task features to activity. We apply MINE to a published cortical dataset as well as experiments designed to probe thermoregulatory circuits in zebrafish. Here, MINE allowed us to characterize neurons according to their receptive field and computational complexity, features that anatomically segregate in the brain. We also identified a new class of neurons that integrate thermosensory and behavioral information that eluded us previously when using traditional clustering and regression-based approaches.
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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.