Methods and systems are presented for constructing biological-scale hierarchically structured cortical statistical memory systems using currently available fabrication technology and meta-stable switching devices. Learning content-addressable memory and statistical random access memory circuits are detailed. Additionally, local and global signal modulation of bottom-up and top-down processing for the initiation and direction of behavior is disclosed.
Hierarchical temporal memory utilizing nanotechnology