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Using the Change Manager Model for the Hippocampal System to Predict Connectivity and Neurophysiological Parameters in the Perirhinal Cortex
Joint Authors
Coward, L. Andrew
Gedeon, Tamas D.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-27
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Coward, L. Andrew& Gedeon, Tamas D.. 2015. Using the Change Manager Model for the Hippocampal System to Predict Connectivity and Neurophysiological Parameters in the Perirhinal Cortex. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1099807
Modern Language Association (MLA)
Coward, L. Andrew& Gedeon, Tamas D.. Using the Change Manager Model for the Hippocampal System to Predict Connectivity and Neurophysiological Parameters in the Perirhinal Cortex. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1099807
American Medical Association (AMA)
Coward, L. Andrew& Gedeon, Tamas D.. Using the Change Manager Model for the Hippocampal System to Predict Connectivity and Neurophysiological Parameters in the Perirhinal Cortex. Computational Intelligence and Neuroscience. 2015. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1099807
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099807