Title :
From Hodgkin Huxley neurons to Visual Attention Networks in the Brain
Author :
Kristensen, Terje
Author_Institution :
Dept. of Comput., Bergen Univ. Coll., Bergen, Norway
Abstract :
A Multi-Agent System (MAS) has been developed to simulate the Visual Attention Network Model of the brain. Tasks are assigned to the agents according to the Attention Network Theory developed by neuroscientists. A sequential model based on simple objects has been constructed, aiming to show the relations and the workflow between the different visual attention networks. Each agent is being used as an analogy to a role or function of the visual attention systems in the brain. Some experimental results based on this model have been presented in an earlier paper. In addition, a numerical solution of Hodgkin Huxley equations is presented to describe the behavior of a neuron. The solution is illustrated by a graphical chart interface to finely tune the behavior of the neuron visually. The two approaches are at the moment not integrated. The long term goal is to develop an integrated parallel layered object model of the visual attention process as a tool for simulating neuron interactions described by Hodgkin Huxley´s equations.
Keywords :
medical computing; multi-agent systems; network theory (graphs); neurophysiology; Hodgkin Huxley equations; Hodgkin Huxley neurons; MAS; attention network theory; graphical chart interface; multi-agent system; neuron behavior; neuron interaction simulation; parallel layered object model; visual attention network model; visual attention process; Biological system modeling; Equations; Junctions; Mathematical model; Neurons; Vehicles; Hodgkin Huxley equations; JADE; Multi-Agent System; Runge Kutta method; Simulation; Visual Attention Networks;
Conference_Titel :
Complex Systems (WCCS), 2014 Second World Conference on
Print_ISBN :
978-1-4799-4648-8
DOI :
10.1109/ICoCS.2014.7060898