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

Biology

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