 Yet perceptual content does not seem probabilistic. This emphasizes a prima facie disconnect between current theories of neural content and those of phenomenal content. The linking principles we have deployed assume a specific view of neural content that might not cohere with current approaches to neural coding, leaving us with the challenge of explanatorily linking probabilistic content at the neural level with more determinate, nonprobabilistic content at the phenomenal level. One option is to find nonprobabilistic content at the neural level (e.g., as in the population vector approach). The other is to find probabilistic content at the phenomenal level (for related ideas, see Morrison 2017 and response by Denison 2017; also Block 2018). Either way, explanations of specific content will need to deal with this prima facie disconnect between phenomenal content as revealed by introspection and current theories of neural content.