Gotts Stephen J
Section on Cognitive Neuropsychology, Laboratory of Brain and Cognition, National Institute of Mental Health (NIMH), National Institutes of Health, Building 10, Rm 4C-104, Bethesda, MD, 20892-1366, USA.
Psychon Bull Rev. 2016 Aug;23(4):1055-71. doi: 10.3758/s13423-015-0855-y.
Incremental learning models of long-term perceptual and conceptual knowledge hold that neural representations are gradually acquired over many individual experiences via Hebbian-like activity-dependent synaptic plasticity across cortical connections of the brain. In such models, variation in task relevance of information, anatomic constraints, and the statistics of sensory inputs and motor outputs lead to qualitative alterations in the nature of representations that are acquired. Here, the proposal that behavioral repetition priming and neural repetition suppression effects are empirical markers of incremental learning in the cortex is discussed, and research results that both support and challenge this position are reviewed. Discussion is focused on a recent fMRI-adaptation study from our laboratory that shows decoupling of experience-dependent changes in neural tuning, priming, and repetition suppression, with representational changes that appear to work counter to the explicit task demands. Finally, critical experiments that may help to clarify and resolve current challenges are outlined.
长期感知和概念知识的增量学习模型认为,神经表征是通过大脑皮质连接中类似赫布式的活动依赖型突触可塑性,在许多个体经历中逐渐获得的。在这类模型中,信息的任务相关性、解剖学限制以及感觉输入和运动输出的统计数据的变化,会导致所获得表征的性质发生质的改变。在此,我们讨论了行为重复启动和神经重复抑制效应是皮质中增量学习的经验标记这一观点,并回顾了支持和质疑这一观点的研究结果。讨论集中于我们实验室最近的一项功能磁共振成像适应研究,该研究表明神经调谐、启动和重复抑制中依赖经验的变化出现了解耦,其表征变化似乎与明确的任务要求背道而驰。最后,概述了可能有助于澄清和解决当前挑战的关键实验。