Neuroscience Institute, 435 East 30th Street, Langone Medical Center, New York University, New York, NY 10016, USA; Department of Neurology, Langone Medical Center, New York University, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA.
Neuroscience Institute, 435 East 30th Street, Langone Medical Center, New York University, New York, NY 10016, USA.
Trends Cogn Sci. 2018 Oct;22(10):853-869. doi: 10.1016/j.tics.2018.07.006.
Neural computations are often compared to instrument-measured distance or duration, and such relationships are interpreted by a human observer. However, neural circuits do not depend on human-made instruments but perform computations relative to an internally defined rate-of-change. While neuronal correlations with external measures, such as distance or duration, can be observed in spike rates or other measures of neuronal activity, what matters for the brain is how such activity patterns are utilized by downstream neural observers. We suggest that hippocampal operations can be described by the sequential activity of neuronal assemblies and their internally defined rate of change without resorting to the concept of space or time.
神经计算通常与仪器测量的距离或持续时间进行比较,并且这种关系由人类观察者进行解释。然而,神经回路并不依赖于人造仪器,而是相对于内部定义的变化率来执行计算。虽然神经元与外部测量(如距离或持续时间)的相关性可以在尖峰率或其他神经元活动测量中观察到,但对大脑来说重要的是,下游神经观察者如何利用这种活动模式。我们认为,海马体操作可以通过神经元集合的顺序活动及其内部定义的变化率来描述,而无需诉诸空间或时间的概念。