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README.md

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-license: apache-2.0
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+# VEDB SimCLR ResNet-18 — Fovea-Gaze
+
+This repository contains the **Fovea-Gaze SimCLR ResNet-18 checkpoint** associated with:
+
+**Diaz, D. M., & Henderson, M. M. (2026). _Eccentricity-Constrained CNN Training Reveals Adaptive Information Coding Around the Visual Field._ Proceedings of the 9th Conference on Cognitive Computational Neuroscience.**
+
+**DOI:** `10.32470/0416gfsq`  
+**arXiv:** `2607.19316`
+
+This model is part of the **[Eccentricity-Constrained SimCLR Models (VEDB)](https://hf.co/collections/DM-Diaz/eccentricity-constrained-simclr-models-vedb)** collection.
+
+## Model
+
+- **Architecture:** ResNet-18
+- **Training:** SimCLR self-supervised pretraining
+- **Dataset:** Visual Experience Dataset (VEDB)
+- **Condition:** Fovea-Gaze
+- **Epoch:** 120
+- **Checkpoint:** `simclr_resnet18_fovea-gaze_epoch120.pth.tar`
+
+The **Fovea-Gaze** condition was pretrained using gaze-centered central visual information derived from VEDB frames.
+
+## Release Status
+
+The pretrained checkpoint is available now. A complete model card, training documentation, and evaluation code will be added shortly.
+
+## Citation
+
+```bibtex
+@inproceedings{diaz2026eccentricity,
+  author    = {Diaz, Dylan M. and Henderson, Margaret M.},
+  title     = {Eccentricity-Constrained CNN Training Reveals Adaptive Information Coding Around the Visual Field},
+  booktitle = {Proceedings of the 9th Conference on Cognitive Computational Neuroscience},
+  address   = {New York, NY, USA},
+  year      = {2026},
+  doi       = {10.32470/0416gfsq}
+}