Disclaimer: I know brain != deep learning neural nets. We do have a lot of evidence that the brain is _some_ type of network with analogue qualities.

Does it even make sense to say that a memory is stored somewhere in a specific region, if the brain is an analogue network? A property of analogue networks is that all nodes make a contribution, even if many of the contributions are infinitesimally small. The equivalent for deep learning is that information is stored in the weights and any given output is a function of all the weights. Some weights are more important than others in producing the output, but the point still stands.