ArticleCurrent biology : CB2021
Predicting individual neuron responses with anatomically constrained task optimization.
Article in Current biology : CB, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Fly navigational responses exploit plume-specific odor motion and gradient cues.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Machine learning discovers numerous new computational principles supporting elementary motion detection.Nature communications · 2026Article
- Broken time-reversal symmetry in visual motion detection.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Beyond Letters: Optimal Transport as a Model for Sub-Letter Orthographic Processing.Neurobiology of language (Cambridge, Mass.) · 2025Article
- TDE-3: an improved prior for optical flow computation in spiking neural networks.Frontiers in neuroscience · 2025Article
- Universality of representation in biological and artificial neural networks.bioRxiv : the preprint server for biology · 2024Article
- Article
- Optimization in Visual Motion Estimation.Annual review of vision science · 2024Review
- Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation.Nature communications · 2024Article
- Broken time reversal symmetry in visual motion detection.bioRxiv : the preprint server for biology · 2024Article
- AI networks reveal how flies find a mate.Nature · 2024Article
- Article
- Neural mechanisms to incorporate visual counterevidence in self-movement estimation.Current biology : CB · 2023Article
- Direct comparison reveals algorithmic similarities in fly and mouse visual motion detection.iScience · 2023Article
- Neural mechanisms to incorporate visual counterevidence in self motion estimation.bioRxiv : the preprint server for biology · 2023Article
- Shallow neural networks trained to detect collisions recover features of visual loom-selective neurons.eLife · 2022Article
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4 authors.
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Abstract
Artificial neural networks trained to solve sensory tasks can develop statistical representations that match those in biological circuits. However, it remains unclear whether they can reproduce properties of individual neurons. Here, we investigated how artificial networks predict individual neuron properties in the visual motion circuits of the fruit fly Drosophila. We trained anatomically constrained networks to predict movement in natural scenes, solving the same inference problem as fly motion detectors. Units in the artificial networks adopted many properties of analogous individual neurons, even though they were not explicitly trained to match these properties. Among these properties was the split into ON and OFF motion detectors, which is not predicted by classical motion detection models. The match between model and neurons was closest when models were trained to be robust to noise. These results demonstrate how anatomical, task, and noise constraints can explain properties of individual neurons in a small neural network.
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