The Biological Basis of Incremental Learning

该项目由学习和智能基金会资助。 系统（地雷影响调查）倡议。它关注的是学习， 这是一个渐进的过程，导致技能随着时间的推移而提高。 等 学习负责知觉的发展 歧视，刺激协会和运动技能，并被认为是在 包括人类和动物。 研究的目标是系统级的 神经增量学习理论 该项目结合了计算机 模拟大脑的神经生理记录， 行为大鼠和猴子，功能磁共振成像， 人类和机器人实现。据了解， 哺乳动物的大脑有助于渐进式学习。 虽然大脑皮层 可能起着核心作用，其他已知的大脑区域使重要的 贡献包括基底神经节，海马，杏仁核， 小脑 重要的是要了解这些不同的角色 在学习过程中，它们之间的相互作用。 要进行的实验工作包括从各个领域进行记录 老鼠和猴子的大脑在学习和成像过程中 人类执行类似任务的能力。 神经功能的模型将是 基于猴子实验开发，并将在 移动的机器人。 这些实施的模型将允许培训 机器人，以及与之进行的学习的比较， 在人类和动物中观察到的。 理论的发展 渐进式学习将更好地理解 过程发生，并可能导致改进的方法，以发展 人类和机器的技能。

This project is being funded through the Learning and Intelligent Systems (LIS) initiative. It is concerned with learning that is incremental in nature, resulting in skills that improve over time. Such learning is responsible for the development of perceptual discriminations, stimulus associations, and motor skills, and is seen in both humans and animals. The goal of the research is a systems-level neural theory of incremental learning. The project combines computer simulations with neurophysiological recording from the brains of behaving rats and monkeys, functional magnetic resonance imaging in humans, and robotic implementation. It is known that many parts of the mammalian brain contribute to incremental learning. Although the cortex may play a central role, other brain areas known to make vital contributions include the basal ganglia, hippocampus, amygdala, and cerebellum. It is important to understand the roles of these various areas and their interactions with each other during learning. Experimental work to be performed includes recording from various areas of the brains of rats and monkeys during learning and imaging the brains of humans performing analogous tasks. Models of neural function will be developed based on the monkey experiments and will be implemented on a mobile robot. These implemented models will allow the training of the robot, and a comparison of the learning that takes place with that observed in humans and animals. The development of theories of incremental learning will provide a better understanding of how the process occurs and may result in improved approaches to the development of skills in both humans and machines.