Brain Science Institute, Tamagawa University, 6-1-1, Tamagawagakuen, Machida, Tokyo, 194-0041, Japan.
Bull Math Biol. 2011 Feb;73(2):417-35. doi: 10.1007/s11538-010-9566-8. Epub 2010 Sep 16.
This paper presents a possible context-sensitive mechanism in a neural network and at single neuron levels based on the experiments of hippocampal CA1 and their theoretical models. First, the spatiotemporal learning rule (STLR, non-Hebbian) and the Hebbian rule (HEBB) are experimentally shown to coexist in dendrite-soma interactions in single hippocampal pyramidal cells of CA1. Second, the functional differences between STLR and HEBB are theoretically shown in pattern separation and pattern completion. Third, the interaction between STLR and HEBB in neural levels is proposed to play an important role in forming a selective context determined by value information, which is related to expected reward and behavioral estimation.
本文基于海马 CA1 的实验及其理论模型,在神经网络和单个神经元水平上提出了一种可能的上下文敏感机制。首先,实验表明,时空学习规则(STLR,非海伯因)和海伯因规则(HEBB)在单个海马 CA1 锥体神经元的树突-体相互作用中共同存在。其次,在模式分离和模式完成方面,从理论上说明了 STLR 和 HEBB 的功能差异。第三,提出在神经水平上 STLR 和 HEBB 的相互作用在形成由价值信息决定的选择性上下文方面起着重要作用,这与预期奖励和行为估计有关。