Emergence of prefrontal neuron maturation properties by training recurrent neural networks in cognitive tasks

被引:5
|
作者
Liu, Yichen Henry [1 ]
Zhu, Junda [2 ]
Constantinidis, Christos [2 ,3 ,4 ]
Zhou, Xin [1 ,3 ,5 ]
机构
[1] Vanderbilt Univ, Dept Comp Sci, Nashville, TN 37235 USA
[2] Vanderbilt Univ, Neurosci Program, Nashville, TN 37235 USA
[3] Vanderbilt Univ, Dept Biomed Engn, Nashville, TN 37235 USA
[4] Vanderbilt Univ, Dept Ophthalmol & Visual Sci, Med Ctr, Nashville, TN 37232 USA
[5] Vanderbilt Univ, Data Sci Inst, Nashville, TN 37235 USA
关键词
WORKING-MEMORY; DYNAMICS; CHILDREN; DELAY; SCHIZOPHRENIA; ANTISACCADES; ADOLESCENCE; COMPUTATION; INHIBITION; CHILDHOOD;
D O I
10.1016/j.isci.2021.103178
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Working memory and response inhibition are functions that mature relatively late in life, after adolescence, paralleling the maturation of the prefrontal cortex. The link between behavioral and neural maturation is not obvious, however, making it challenging to understand how neural activity underlies the maturation of cognitive function. To gain insights into the nature of observed changes in prefrontal activity between adolescence and adulthood, we investigated the progressive changes in unit activity of recurrent neural networks as they were trained to perform working memory and response inhibition tasks. These included increased delay period activity during working memory tasks and increased activation in antisaccade tasks. These findings reveal universal properties underlying the neuronal computations behind cognitive tasks and explicate the nature of changes that occur as the result of developmental maturation.
引用
收藏
页数:21
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