[albertzeyer]

Some time around mid 1995 until basically now, it became out of fashion to explain your motivations of some new modeling as inspired from biology, as that was often handwaving with only little understanding of the actual neuroscience. So that is why people stopped writing that in papers. Just let the actual performance numbers speak for themselves. Either you get good performance, then it doesn't really matter where this was inspired from, or it does not work well, then it also does not matter where this was inspired from. In machine learning, it mostly matters whether it works well or not.