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Towards a multi-level understanding in insect navigation
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AI
DOI：10.1016/j.cois.2020.10.006.png)
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摘要
En 中文
To understand the brain is to understand behaviour. However, understanding behaviour itself requires consideration of sensory information, body movements and the animal's ecology. Therefore, understanding the link between neurons and behaviour is a multi-level problem, which can be achieved when considering Marr's three levels of understanding: behaviour, computation, and neural implementation. Rather than establishing direct links between neurons and behaviour, the matter boils down to understanding two transitions: the link between neurons and brain computation on one hand, and the link between brain computations and behaviour on the other hand. The field of insect navigation illustrates well the power of such two-sided endeavour. We provide here examples revealing that each transition requires its own approach with its own intrinsic difficulties, and show how modelling can help us reach the desired multi-level understanding.
Keyword:
DESERT ANTS
PATH-INTEGRATION
MELOPHORUS-BAGOTI
MUSHROOM BODIES
SPATIAL MEMORY
ORIENTATION
MODEL
BEHAVIOR
HYMENOPTERA
INFORMATION
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1.4K
被引数:
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