Research map / Probabilistic and scientific modeling / Dynamical systems
A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's abstract only. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Builds a data- and task-constrained mechanistic model of the mouse outer retina (photoreceptors, horizontal cells, bipolar cells) and shows it is robust to contrast variations.
Problem
How photoreceptors, horizontal cells, and bipolar cells together implement contrast-invariant coding of visual information in the mouse outer retina remains unclear.
Approach
A mechanistic model of the outer retina constrained by experimental data and by a visual task, used to examine how cell-type interactions yield robustness to contrast variations.
Key results
- The model is reported to show robustness to contrast variations in the outer retina, per the abstract.
Closest papers by meaning
- System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina (NeurIPS 2020 · similarity 0.89)
- The emergence of multiple retinal cell types through efficient coding of natural movies (NeurIPS 2018 · similarity 0.88)
- Rotation-invariant clustering of neuronal responses in primary visual cortex (ICLR 2020 · similarity 0.88)
- Most discriminative stimuli for functional cell type clustering (ICLR 2024 · similarity 0.87)
- A Computational Framework for Modeling Emergence of Color Vision in the Human Brain (ICLR 2025 · similarity 0.84)
- Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos (NeurIPS 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.