- Wendt, Julia Nicole [Browse]
- Senior thesis
- 52 pages
- Berry, Michael J. II [Browse]
- Princeton University. Department of Chemical and Biological Engineering [Browse]
- Class year
- Summary note
- The recognition of temporal patterns is an essential part of visual processing, and can
be used to predict upcoming visual stimuli. Predictive computation is often associated with
higher-order brain areas, but it has also been found in areas as early as the retina and primary
visual cortex (V1). Studies in mice have shown that when the pattern of a temporal sequence
is interrupted, there is a large novelty response by the neurons in V1, however it is unknown
if or how the rest of the brain utilizes this response.
In order to investigate the implications of the V1 neural novelty response, this study
sought to train mice in a task to behaviorally respond to violations in temporal visual
sequences. It was found that mice are able to learn the task, and perform it very well.
Parameters such as the number of frames in the sequence and duration time of those frames
affected the difficulty of the task and the performance of the mouse. Generally mice
performed best with shorter sequences that were displayed quickly (~200ms). These findings
emphasize the importance of the primary visual cortex in the predictive computation of
temporal sequences, and indicate that studying lower-order brain regions may aid in the
understanding of higher-order cognitive functions.