A Neurorobotics and Spiking Neural Networks Approach to Cognitive Faculties of Reasoning and Planning

这项工作将探索使用尖峰神经网络模型，基于对大脑中与认知能力相关的区域的观察。特别是前额叶皮质的储藏计算模型和海马体的连续吸引子模型将被利用。这与现有的利用基于规则/符号模型或非尖峰人工神经网络的工作形成对比。不使用后者的一个关键原因是试图不仅产生一个认知能力的功能模型，而且还试图产生一个可能用于研究生物来源的模型。这些模型将通过体现在模拟和物理机器人代理(神经机器人)中进行测试，并在行为任务中进行评估。

This work will explore the use of spiking neural network models based on observations of areas of the brain associated with cognitive capabilities. In particular reservoir computing models of the prefrontal cortex, and continuous attractor models of the hippocampus will be utilised. This contrasts with existing work which utilises a rule-based/symbolic model, or a non spiking artificial neural network. One key reason for not using the latter is to attempt to produce not only a functional model of cognitive capabilities, but a model which can potentially be used for studying the biological source. These models will be tested by being embodied in simulated and physical robotic agents (neurorobot) and evaluated on behavioural tasks.