Introduction to the theory of neural computation
Introduction to the theory of neural computation
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The knowledge about higher brain centres in insects and how they affect the insect's behaviour has increased significantly in recent years by experimental investigations. A large body of evidence suggests that higher brain centres of insects are important for learning, short-term and long-term memory and play an important role for context generalisation. In this paper, we focus on artificial recurrent neural networks that model non-linear systems, in particular, Lotka-Volterra systems. After studying the typical behavior and processes that emerge in appropiate Lotka-Volterra systems, we analyze the relationship between sequential memory encoding processes and the higher brain centres in insects in order to propose a way to develop a general 'insect-brain' control architecture to be implemented on simple robots.