Beyond Trial-Based Paradigms: Continuous Behavior, Ongoing Neural Activity, and Natural Stimuli.

作者: Alexander Huk , Kathryn Bonnen , Biyu J. He

DOI: 10.1523/JNEUROSCI.1920-17.2018

关键词: Brain activity and meditationCognitive scienceStimulus (physiology)CognitionNeural activityIndependent and identically distributed random variablesPerceptionMultiple timeComputer scienceStatistical 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

参考文章(104)
H.W. SORENSON, Kalman Filtering Techniques Advances in Control Systems. ,vol. 3, pp. 219- 292 ,(1966) , 10.1016/B978-1-4831-6716-9.50010-2
Uri Hasson, Janice Chen, Christopher J. Honey, Hierarchical process memory: memory as an integral component of information processing Trends in Cognitive Sciences. ,vol. 19, pp. 304- 313 ,(2015) , 10.1016/J.TICS.2015.04.006
Stephanie E. Palmer, Olivier Marre, Michael J. Berry, William Bialek, Predictive information in a sensory population Proceedings of the National Academy of Sciences of the United States of America. ,vol. 112, pp. 6908- 6913 ,(2015) , 10.1073/PNAS.1506855112
Damien Ernst, Arthur Louette, Introduction to Reinforcement Learning MIT Press. ,(1998)
Louis L. Scharf, Cédric Demeure, Statistical signal processing : detection, estimation, and time series analysis Published in <b>1991</b> in Reading Mass by Addison-Wesley Pub Co. ,(1991)
Daniel M Wolpert, Zoubin Ghahramani, None, Computational principles of movement neuroscience Nature Neuroscience. ,vol. 3, pp. 1212- 1217 ,(2000) , 10.1038/81497
John Arthur Swets, David Marvin Green, Signal Detection Theory and Psychophysics ,(1974)
Stephen G. Lisberger, Visual Guidance of Smooth Pursuit Eye Movements Annual Review of Vision Science. ,vol. 1, pp. 447- 468 ,(2015) , 10.1146/ANNUREV-VISION-082114-035349
Steven E. Petersen, Olaf Sporns, Brain Networks and Cognitive Architectures Neuron. ,vol. 88, pp. 207- 219 ,(2015) , 10.1016/J.NEURON.2015.09.027