Beyond neuronal networks: How to use agent-based modelling in neuroscience

[Speaker] Schmidt, Tino:1
[Co-author] Schmidt, Matthias:2
1:Brandenburg University of Technology (Germany), 2:University of Applied Sciences Zittau/Goerlitz (Germany)

It is proposed that agent-based modelling have a huge potential as a "third way" (beside theoretical formalisation and neural networks) of carrying out the neural basis of human behaviour. This special computer simulations, in contrast to other methods, it is possible to formalise complex theories about processes, carry out experiments and observe the occurrence of emergence by manipulating different types of neurons and glia cells within different states to operate within the same time. Within this context we suggest different techniques for building agent-based models and for debugging them in the field of neuroscience to compare the agent based models with comperative noronal network models. For structuring the theoretical assumtions into agents, the environment and other parts for modifying and observing the agents is described. This allows the modeling of cell-cell interactions to prove the theoretical coherence of a theoretical model highly efficient.
Advanced Search