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README.md

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 ---
 license: apache-2.0
+tags:
+  - pytorch
+  - computer-vision
+  - self-supervised-learning
+  - simclr
+  - resnet18
+  - imagenet
+  - lightly
+  - visual-neuroscience
+  - neural-encoding
+  - arxiv:2607.19316
+datasets:
+  - evanarlian/imagenet_1k_resized_256
 ---
+
+# SimCLR ResNet-18 — ImageNet-1K
+
+This repository contains the **ImageNet-1K SimCLR ResNet-18 checkpoint** trained as a non-egocentric reference model for:
+
+**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`<br>
+**arXiv:** `2607.19316`<br>
+**Contributed Talk:** [CCN 2026 presentation on YouTube](https://www.youtube.com/watch?v=Lb4S3FWqd2M&t=2545s)
+
+The model was pretrained using **SimCLR with a ResNet-18 backbone** and served as one of the non-egocentric reference models in the associated study. It was used alongside models pretrained on ImageNet-100 and STL-10 to provide comparison points for evaluating representations learned from naturalistic egocentric visual experience.
+
+Training was implemented using the **Lightly** self-supervised learning framework. The training images were obtained from the [`evanarlian/imagenet_1k_resized_256`](https://huggingface.co/datasets/evanarlian/imagenet_1k_resized_256) dataset on Hugging Face.