The Dynamic Sensorium competition for predicting large-scale mouse visual cortex activity from videos.

ABSTRACT: Understanding how biological visual systems process information is challenging due to the complex nonlinear relationship between neuronal responses and high-dimensional visual input. Artificial neural networks have already improved our understanding of this system by allowing computational neuroscientists to create predictive models and bridge biological and machine vision. During the Sensorium 2022 competition, we introduced benchmarks for vision models with static input (i.e. images). However, animals operate and excel in dynamic environments, making it crucial to study and understand how the brain functions under these conditions. Moreover, many biological theories, such as predictive coding, suggest that previous input is crucial for current input processing. Currently, there is no sta

SUBMITTER: Turishcheva P 

PROVIDER: S-EPMC10312815 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature