Control of chaos and memory dynamics

Behavioral and Brain Sciences 24 (5):817-818 (2001)
  Copy   BIBTEX

Abstract

Neurally inspired models of human cognition exude explanatory power without necessarily making predictions that can be verified behaviorally. This is the case for Tsuda's dynamic model. It is suggested that a simpler principle based on the nonlinear dynamic interaction between modules based on control of chaos, can achieve a similar theoretical goal in a cognitively verifiable way

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 100,448

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Using experimental data and analysis in EEG modelling.Donald L. Rowe & James Wright - 2001 - Behavioral and Brain Sciences 24 (5):828-829.
Agent-based modeling within a dynamic network.T. L. Frantz & K. M. Carley - 2009 - In Stephen J. Guastello, Matthijs Koopmans & David Pincus (eds.), Chaos and complexity in psychology: the theory of nonlinear dynamical systems. New York: Cambridge University Press. pp. 475--505.
What can we expect from models of motor control?Gerald E. Loeb - 1995 - Behavioral and Brain Sciences 18 (4):767-768.
Adaptive timing, attention, and movement control.Stephen Grossberg - 1997 - Behavioral and Brain Sciences 20 (4):619-619.

Analytics

Added to PP
2009-01-28

Downloads
32 (#696,586)

6 months
12 (#277,938)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references