Jeff Hawkins walks through the similarities between the hippocampal complex and the neocortex. He presents how mechanisms from the hippocampal complex could have evolved into a general-purpose algorithm in every cortical column of the neocortex. Starting with this idea, we discuss how conceptually the two are similar and how they are differentiated by learning speed. We talk about scale at different hierarchical levels in the neocortex and in the hippocampal complex, and how this can impact the learned representations. We also discuss representational capacity and the benefits of learning more abstract and unique models for inference.
Summary Video
Main Video
00:12 Hippocampus and Entorhinal Cortex Evolution
03:31 Fast and Slow Memory
10:30 Are There Hierarchical Connections Between Hippocampal Complex “Columns”?
12:50 Modeling Complex and Simple Objects with the Same Column Structure in a Hierarchy
25:57 Scale in the Hippocampus and Parent Child Relationships
28:22 Open Questions and Other Considerations
37:30 How do we Learn in Both the Hippocampus and the Cortex?
44:36 Are Hippocampal Reference Frames Different than Cortex Reference Frames?
