Complex Neuro-Cognitive Systems
نویسنده
چکیده
Cognitive functions such as a perception, thinking and acting are based on the working of the brain, one of the most complex systems we know. The traditional scientific methodology, however, has proved to be not sufficient to understand the relation between brain and cognition. The aim of this paper is to review an alternative methodology – nonlinear dynamical analysis – and to demonstrate its benefit for cognitive neuroscience in cases when the usual reductionist method fails.
منابع مشابه
Neuro-ACT Cognitive Architecture Applications in Modeling Driver’s Steering Behavior in Turns
Cognitive Architectures (CAs) are the core of artificial cognitive systems. A CA is supposed to specify the human brain at a level of abstraction suitable for explaining how it achieves the functions of the mind. Over the years a number of distinct CAs have been proposed by different authors and their limitations and potentials were investigated. These CAs are usually classified as symbolic and...
متن کاملTowards A Multi-Dimensional Modelling Of Complex Social Systems Using Data Mining And Type-2 Neuro-Fuzzy System: Religious Affiliation Case Of Study
The purpose of this paper is, to describe a work-in process for application of distributed agency methodology to multi-dimensional preference model into a complex social system. This paper shows a study case focused on a modeling system for decision-making on cognitive structure religious affiliation preference. A type-2 neurofuzzy approach is used to configure cognitive rules into an agent to ...
متن کاملDesign and Simulation of Adaptive Neuro Fuzzy Inference Based Controller for Chaotic Lorenz System
Chaos is a nonlinear behavior that shows chaotic and irregular responses to internal and external stimuli in dynamic systems. This behavior usually appears in systems that are highly sensitive to initial condition. In these systems, stabilization is a highly considerable tool for eliminating aberrant behaviors. In this paper, the problem of stabilization and tracking the chaos are investigated....
متن کاملImproving fuzzy cognitive maps learning through memetic particle swarm optimization
Fuzzy cognitive maps constitute a neuro-fuzzy modeling methodology that can simulate complex systems accurately. Although their configuration is defined by experts, learning schemes based on evolutionary and swarm intelligence algorithms have been employed for improving their efficiency and effectiveness. This paper comprises an extensive study of the recently proposed swarm intelligence memeti...
متن کاملInvestigating the effectiveness of neuro-feedback on alpha and beta frequency bands in the elderly with mild cognitive impairment
Introduction: Aging is a process in which physiological and psychological changes, especially cognitive changes, are observed. The aim of the present study was to determine the effectiveness of neuro-feedback on the alpha frequency band and beta frequency band at points (F3, F4) in the elderly with mild cognitive impairment. Methods: For this purpose, in this semi-experimental research, 30 peo...
متن کامل