作者: Alexander Huk , Kathryn Bonnen , Biyu J. He
DOI: 10.1523/JNEUROSCI.1920-17.2018
关键词: Brain activity and meditation 、 Cognitive science 、 Stimulus (physiology) 、 Cognition 、 Neural activity 、 Independent and identically distributed random variables 、 Perception 、 Multiple time 、 Computer science 、 Statistical model
摘要: The vast majority of experiments examining perception and behavior are conducted using experimental paradigms that adhere to a rigid trial structure: each consists brief discrete series events is regarded as independent from all other trials. assumptions underlying this structure ignore the reality natural rarely discrete, brain activity follows multiple time courses do not necessarily conform structure, environment has statistical dynamics exhibit long-range temporal correlation. Modern advances in modeling analysis offer tools make it feasible for move beyond identically distributed structures. Here we review literature serves evidence feasibility advantages moving trial-based understand neural basis cognition. Furthermore, propose synthesis these efforts, integrating characterization stimulus properties with measurements continuous behavioral outputs within framework sensory-cognitive-motor loops. Such provides study statistics, naturalistic tasks, and/or slow fluctuations activity, which should provide starting points important generalizations analytical neuroscience subsequent progress understanding