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Abstract
摘要 |
In this lecture I will give a couple of examples where theoretical and computational neuroscience modeling is applied trying to understand two important brain questions. i) The “Attention” problem. There is a very large amount of external visual information surrounding us. The brain cannot process and interpret all that information but needs to make a selective choice of what information is important to “pay attention to”. I will discuss neuronal processes that may be involved in making this selection. ii) As it is often done in physics, we can choose to study simpler systems to learn about the more complex ones. A “zebra fish” (ZF) animal model has been studied extensively, not only in neuroscience but also in cancer genetics and organ regeneration. One important characteristics of the young ZF (<8 days old) is that it is transparent with most of its neurons properties characterized. This allows for theoretical models that are closer to the experimental ZF system. What happens when the fish tries to trap and eat a small paramecium? It produces special, very fast, swimming patterns, away from naked eye detection, to trap its food. I will describe neuronal and swimming body modeling allowing making connections between the two. Very rarely can we go from the internal neuronal dynamics to the external movement or action dynamics. |
