 | THE PARAHIPPOCAMPAL REGION: IMPLICATIONS FOR NEUROLOGICAL AND PSYCHIATRIC DISEASES
Copyright © 2000 by the New York Academy of Sciences
description
Annals of the New York Academy of Sciences 911:418-446 (2000)
© 2000 New York Academy of Sciences
Computational Modeling of Entorhinal Cortex
MICHAEL E. HASSELMOa,d,
ERIK FRANSENb,e,
CLAYTON DICKSONc,f AND
ANGEL A. ALONSOc,f
aDepartment of Psychology, Boston University, Boston, Massachusetts 02215, USA
bDepartment of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden
cMontreal Neurological Institute, McGill University, Montreal, Quebec, Canada
dAddress for correspondence: Dr. Michael E. Hasselmo, Dept. of Psychology, Boston University, 64 Cummington St., Boston, MA 02215. Tel.: (617) 353-1397; fax: (617) 353-1424. e-mail: hasselmo{at}berg.bu.edu
ee-mail: erikf{at}sans.kth.se
fe-mail: mdao{at}musica.mcgill.ca
Computational modeling provides a means for linking the physiological and anatomical characteristics of entorhinal cortex at a cellular level to the functional role of this region in behavior. We have developed detailed simulations of entorhinal cortical neurons and networks, with an emphasis on the role of acetylcholine in entorhinal cortical function. Computational modeling suggests that when acetylcholine levels are high, this sets appropriate dynamics for the storage of stimuli during performance of delayed matching tasks. In particular, acetylcholine activates a calcium-sensitive nonspecific cation current which provides an intrinsic cellular mechanism which could maintain neuronal activity across a delay period. Simulations demonstrate how this phenomena could underlie entorhinal cortex delay activity as described in previous unit recordings. 191,164 Acetylcholine also induces theta rhythm oscillations which may be appropriate for timing of afferent input to be encoded in hippocampus and for extraction of individual stored sequences from multiple stored sequences. Lower levels of acetylcholine may allow sharp wave dynamics which can reactivate associations encoded in hippocampus and drive the formation of additional traces in hippocampus and entorhinal cortex during consolidation.
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