...
首页> 外文期刊>Journal of Cognitive Neuroscience >'What' and 'Where' in Visual Working Memory: A Computational Neurodynamical Perspective for Integrating f MRI and Single-Neuron Data
【24h】

'What' and 'Where' in Visual Working Memory: A Computational Neurodynamical Perspective for Integrating f MRI and Single-Neuron Data

机译:视觉工作记忆中的“什么”和“何处”:整合f MRI和单神经元数据的计算神经动力学视角

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Single-neuron recordings, functional magnetic resonance imaging (fMRI) data, and the effects of lesions indicate that the prefrontal cortex (PFC) is involved in some types of working memory and related cognitive processes. Based on these data, two different models of the topographical and functional organization of the PFC have been proposed: organization-by-stimulus-domain, and organization-by-process. In this article, we utilize an integrate-and-fire network to model both single-neuron and fMRI data on short-term memory in order to understand data obtained in topologi-cally different parts of the PFC during working memory tasks. We explicitly model the mechanisms that underlie working-memory-related activity during the execution of delay tasks that have a "what"-then-"where" design (with both object and spatial delayed responses within the same trial). The model contains different populations of neurons (as found experimentally) in attractor networks that respond in the delay period to the stimulus object, the stimulus position, and to combinations of both object and position information. The pools are arranged hierarchically and have global inhibition through inhibitory interneurons to implement competi- tion. It is shown that a biasing attentional input to define the current relevant information (object or location) enables the system to select the correct neuronal populations during the delay period in what is a biased competition model of attention. The processes occurring at the AMPA and NMDA synapses are dynamically modeled in the integrate-and-fire implementation to produce realistic spiking dynamics. It is shown that the fMRI data characteristic of the dorsal PFC and linked to spatial processing and manipulation of items can be reproduced in the model by a high level of inhibition, whereas the fMRI data characteristic of the ventral PFC and linked to object processing can be produced by a lower level of inhibition, even though the network is itself topographically homogeneous with no spatial topology of the neurons. This article, thus, not only presents a model for how spatial versus object short-term memory could be implemented in the PFC, but also shows that the fMRI BOLD signal measured during such tasks from different parts of the PFC could reflect a higher level of inhibition dorsally, without this dorsal region necessarily being primarily spatial and the ventral region object-related.
机译:单神经元记录,功能磁共振成像(fMRI)数据以及病变的影响表明前额叶皮层(PFC)参与了某些类型的工作记忆和相关的认知过程。基于这些数据,提出了PFC的地形和功能组织的两种不同模型:按刺激域组织和按过程组织。在本文中,我们利用集成射击网络对短期记忆中的单个神经元和fMRI数据进行建模,以便了解在工作记忆任务期间从PFC拓扑不同部分获得的数据。我们显式地对执行具有“什么”,“然后”,“何处”设计的延迟任务(在同一试验中同时具有对象和空间延迟响应)的延迟任务执行过程中的工作记忆相关活动的机制进行建模。该模型在吸引器网络中包含不同数量的神经元(通过实验发现),这些神经元在延迟时间内对刺激对象,刺激位置以及对象和位置信息的组合做出响应。这些池是分层排列的,并通过抑制性神经元整体抑制,以实现竞争。结果表明,有偏见的注意力输入定义了当前的相关信息(对象或位置),使系统能够在偏见的注意竞争模型中,在延迟期内选择正确的神经元种群。 AMPA和NMDA突触处发生的过程在集成和发射实施中动态建模,以产生逼真的尖峰动态。结果表明,可以通过高度抑制在模型中复制背侧PFC的fMRI数据特征并与空间处理和项目操作相关联,而腹侧PFC的fMRI数据特征可以与模型相关处理相关。即使网络本身在拓扑上是同质的,没有神经元的空间拓扑结构,也可以通过较低的抑制水平产生。因此,本文不仅介绍了如何在PFC中实现空间对对象短期记忆的模型,而且还表明在此类任务期间从PFC的不同部分测量的fMRI BOLD信号可以反映更高水平的背侧限制,而该背侧区域不一定主要是空间上的,而腹侧区域与对象相关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号