I suspect it comes across as slightly naive to this audience. The comparison between ANNs/AI and the actual human brain comes up a lot in the general media, and

I suspect it comes across as slightly naive to this audience. The comparison between ANNs/AI and the actual human brain comes up a lot in the general media, and this leads to lots of misconceptions about AI/ANNs/deep learning, and this makes (my opinion) people in both the fields of neuroscience and machine learning a bit salty. Inescapably, much of the high level ideas in ANN-based machine learning ("connect a bunch of nodes", "integrate and fire", "convolutional neurons/ receptive field") are cribbed directly from neuroscience. Spiking Neural Networks (see SpiNNaker) and Hierarchical Temporal Memory (see numenta/nupic) aim for more biological plausibility, directly. *ANNs == artificial neural networks