WORKSHOP: Quantitative Theories of Learning, Memory, and Prediction

学习、记忆和预测的定量理论的发展是理解人类认知过程的基础。本次研讨会将于2014年5月8-9日在弗吉尼亚州阿灵顿举行，解决了一个关键的科学需求：将现代复杂系统和网络方法与理解认知功能相结合。高阶认知过程的预测模型可以为神经假肢的发展提供信息，促进脑机接口的发展，并协助构建伴随神经系统疾病和精神疾病的认知缺陷的干预方案。了解人类大脑如何工作已成为未来十年国际研究的主要焦点，这一点在奥巴马总统2013年2月的国情咨文中得到了确认，并在2013年4月2日宣布的奥巴马总统brain计划中得到了进一步发展。本次研讨会将汇集系统神经科学家、认知科学家、应用数学家和理论物理学家。其目的是确定一套可实现的目标，将动态，定量的认知理论与神经科学和理论研究途径相结合。

The development of quantitative theories of learning, memory, and prediction is fundamental to understanding human cognitive processing. This workshop, to take place in Arlington VA, May 8-9, 2014, tackles a key scientific need: to integrate modern complex systems and network approaches with understanding cognitive function. Predictive models of higher order cognitive processes could inform the development of neuroprosthetics, facilitate advances in brain-computer interfaces, and assist in the construction of intervention protocols for cognitive deficits that accompany neurological disorders and psychiatric disease. Understanding how the human brain works has emerged as a major international focus of research in the coming decade, identified as such in President Obama's State of the Union Address in February 2013 and further developed in President Obama's BRAIN initiative announced on April 2, 2013. This workshop will bring together systems neuroscientists, cognitive scientists, applied mathematicians, and theoretical physicists. The aim is to identify a set of achievable goals that integrate dynamic, quantitative theories of cognition with neuroscientific and theoretical avenues of research.