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This work presents our solutions to the Algonauts Project 2023 Challenge. Theprimary objective of the challenge revolves around employing computationalmodels to anticipate brain responses captured during participants' observationof intricate natural visual scenes. The goal is to predict brain responsesacross the entire visual brain, as it is the region where the most reliableresponses to images have been observed. We constructed an image-based brainencoder through a two-step training process to tackle this challenge.Initially, we created a pretrained encoder using data from all subjects. Next,we proceeded to fine-tune individual subjects. Each step employed differenttraining strategies, such as different loss functions and objectives, tointroduce diversity. Ultimately, our solution constitutes an ensemble ofmultiple unique encoders. The code is available athttps://github.com/uark-cviu/Algonauts2023

The Algonauts Project 2023 Challenge: UARK-UAlbany Team Solution