The map-building and exploration strategies of a simple sonar-equipped mobile robot
The map-building and exploration strategies of a simple sonar-equipped mobile robot
Neuronal Networks of the Hippocampus
Neuronal Networks of the Hippocampus
Towards novel neuroscience-inspired computing
Emergent neural computational architectures based on neuroscience
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In this paper we aimed to show how memory and anxiety functions of the hippocampus could be combined computationally, using a simulation designed to investigate novelty detection and generalised anxiety disorder. We discuss data covering a wide range of hippocampal function, from episodic memory and navigation through novelty detection and anxiety.The main conclusion to be drawn from the experiments performed upon the simulation is that, given the assumptions made about hippocampal neurophysiology, it provides a coherent prediction for a cause of GAD. That is, it predicts that GAD is caused by increased positive feedback in the loop involving hippocampal-mediated novelty detection and noradrenaline regulation. The act of showing that the computational simulation combines the computational nature of memory and anxiety provides a testable prediction of their compatibility. The clear novelty detection mechanism employed to combine them provides an excellent basis for deriving new simulations and neurological experiments to further develop our model.