  We propose a decoding-based approach to detect context effects on neural
codes in longitudinal neural recording data. The approach is agnostic to how
information is encoded in neural activity, and can control for a variety of
possible confounding factors present in the data. We demonstrate our approach
by determining whether it is possible to decode location encoding from
prefrontal cortex in the mouse and, further, testing whether the encoding
changes due to task engagement.
