title: Using the Change Manager Model for the Hippocampal System to Predict Connectivity and Neurophysiological Parameters in the Perirhinal Cortex.
abstract: Theoretical arguments demonstrate that practical considerations, including the needs to limit physiological resources and to learn without interference with prior learning, severely constrain the anatomical architecture of the brain. These arguments identify the hippocampal system as the change manager for the cortex, with the role of selecting the most appropriate locations for cortical receptive field changes at each point in time and driving those changes. This role results in the hippocampal system recording the identities of groups of cortical receptive fields that changed at the same time. These types of records can also be used to reactivate the receptive fields active during individual unique past events, providing mechanisms for episodic memory retrieval. Our theoretical arguments identify the perirhinal cortex as one important focal point both for driving changes and for recording and retrieving episodic memories. The retrieval of episodic memories must not drive unnecessary receptive field changes, and this consideration places strong constraints on neuron properties and connectivity within and between the perirhinal cortex and regular cortex. Hence the model predicts a number of such properties and connectivity. Experimental test of these falsifiable predictions would clarify how change is managed in the cortex and how episodic memories are retrieved.
authors.affiliation: Australian National University, Canberra, ACT 0200, Australia.
authors.forename: L Andrew
authors.initials: LA
authors.lastname: Coward
authors.affiliation: Australian National University, Canberra, ACT 0200, Australia.
authors.forename: Tamas D
authors.initials: TD
authors.lastname: Gedeon
mesh_terms: D000818:Animals; D001931:Brain Mapping; D006624:Hippocampus / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D009434:Neural Pathways / Q000502:physiology*; D009474:Neurons / Q000502:physiology; D009482:Neurophysiology; D013702:Temporal Lobe / Q000502:physiology*
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