Testing a deep-neural network model of cognitive map development

点击翻译按钮获取中文摘要

The brain contains a 'cognitive map' of space, based on the firing of neurons in thehippocampus tuned to an animal's position and orientation, which can remember goallocations and navigate towards them. Artificial navigating agents based on deeplearningnetworks exhibit similar spatially-tuned neurons, however, it is not known howthese networks develop as the agents are trained, and whether this reflectsbiologically realistic learning and network development. This project combines deepneuralnetwork modelling with in vivo electrophysiological recording from juvenilerodents, aiming to test whether deep networks can model the biological developmentof a neural network for navigation.