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外侧前额叶皮层中感知和记忆视觉特征的神经元群体编码。

Neuronal population coding of perceived and memorized visual features in the lateral prefrontal cortex.

机构信息

McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA.

Department of Physiology, McGill University, Montreal, Quebec, Canada H3G 1Y6.

出版信息

Nat Commun. 2017 Jun 1;8:15471. doi: 10.1038/ncomms15471.

Abstract

The primate lateral prefrontal cortex (LPFC) encodes visual stimulus features while they are perceived and while they are maintained in working memory. However, it remains unclear whether perceived and memorized features are encoded by the same or different neurons and population activity patterns. Here we record LPFC neuronal activity while monkeys perceive the motion direction of a stimulus that remains visually available, or memorize the direction if the stimulus disappears. We find neurons with a wide variety of combinations of coding strength for perceived and memorized directions: some neurons encode both to similar degrees while others preferentially or exclusively encode either one. Reading out the combined activity of all neurons, a machine-learning algorithm reliably decode the motion direction and determine whether it is perceived or memorized. Our results indicate that a functionally diverse population of LPFC neurons provides a substrate for discriminating between perceptual and mnemonic representations of visual features.

摘要

灵长类动物外侧前额叶皮层(LPFC)在视觉刺激被感知和在工作记忆中被维持时,对其特征进行编码。然而,目前尚不清楚被感知和记忆的特征是由相同还是不同的神经元和群体活动模式进行编码的。在这里,当猴子感知到视觉上仍然存在的刺激的运动方向,或者当刺激消失时记住该方向时,我们记录了 LPFC 的神经元活动。我们发现,有许多不同的神经元组合对感知和记忆方向的编码强度进行编码:有些神经元对两者的编码程度相似,而有些神经元则优先或专门对其中之一进行编码。通过读取所有神经元的组合活动,机器学习算法可以可靠地解码运动方向,并确定它是被感知到还是被记忆。我们的结果表明,LPFC 神经元的功能多样性群体为区分视觉特征的知觉和记忆表示提供了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85ee/5461493/2f39b9f1c3ea/ncomms15471-f1.jpg

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