At the beginning of On Intelligence @jhawkins explains that auto-associative memory is the basis of spatial and temporal learning in the cortex. I’ve found many neuroscientists agree that the cortex operates on local auto-associative (recurrent collateral) networks. But I haven’t really seen any adoption of auto-association in HTM.
I guess that temporal memory was considered a better alternative because it could deal with invariance better? Or maybe it had more desirable properties in temporal learning? Or maybe the plan is to eventually implement auto-association along with TM?