Modeling of associative dynamics in hippocampal contributions to heuristic decision making

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We present a new analysis on the heuristic strategy developed in the hippocampal circuit through the memory and learning process. A heuristic approach rapidly leads a solution close to the best possible answer utilizing easy-access information under the situation in which it is difficult to find the best answer. Focusing on the day trading, which needs the rapid decision making within a restricted time, we demonstrate that the heuristic strategy emerges in the process of the memory integration through the compensation for the limit of the information processing ability of the brain. We expect that findings from our trials will help to reveal the hippocampal role on the establishment of decision making strategies and provide the new idea in order to predict the social behavior or improve the current computer power. © 2009 Springer Berlin Heidelberg.

Cite

CITATION STYLE

APA

Hirabayashi, M., & Ohashi, H. (2009). Modeling of associative dynamics in hippocampal contributions to heuristic decision making. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5506 LNCS, pp. 267–274). https://doi.org/10.1007/978-3-642-02490-0_33

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free