What can neuronal populations tell us about cognition?

被引:6
作者
Arandia-Romero, Inigo [1 ,2 ]
Nogueira, Ramon [1 ,2 ]
Mochol, Gabriela [1 ,2 ]
Moreno-Bote, Ruben [1 ,2 ,3 ]
机构
[1] Univ Pompeu Fabra, Ctr Brain & Cognit, Barcelona 08018, Spain
[2] Univ Pompeu Fabra, Dept Informat & Commun Technol, Barcelona 08018, Spain
[3] Serra Hunter Fellow Programme, Barcelona 08018, Spain
关键词
BRAIN-MACHINE INTERFACES; PREFRONTAL CORTEX; NOISE CORRELATIONS; CORTICAL ACTIVITY; TEMPORAL CORTEX; NEURAL CODES; IN-VIVO; DECISION; DYNAMICS; INFORMATION;
D O I
10.1016/j.conb.2017.07.008
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Nowadays, it is possible to record the activity of hundreds of cells at the same time in behaving animals. However, these data are often treated and analyzed as if they consisted of many independently recorded neurons. How can neuronal populations be uniquely used to learn about cognition? We describe recent work that shows that populations of simultaneously recorded neurons are fundamental to understand the basis of decision-making, including processes such as ongoing deliberations and decision confidence, which generally fall outside the reach of single-cell analysis. Thus, neuronal population data allow addressing novel questions, but they also come with so far unsolved challenges.
引用
收藏
页码:48 / 57
页数:10
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