Wong Yan T, Fabiszak Margaret M, Novikov Yevgeny, Daw Nathaniel D, Pesaran Bijan
Center for Neural Science, New York University, New York, New York, USA.
Psychology Department, New York University, New York, New York, USA.
Nat Neurosci. 2016 Feb;19(2):327-34. doi: 10.1038/nn.4210. Epub 2016 Jan 11.
Selecting and planning actions recruits neurons across many areas of the brain, but how ensembles of neurons work together to make decisions is unknown. Temporally coherent neural activity may provide a mechanism by which neurons coordinate their activity to make decisions. If so, neurons that are part of coherent ensembles may predict movement choices before other ensembles of neurons. We recorded neuronal activity in the lateral and medial banks of the intraparietal sulcus (IPS) of the posterior parietal cortex while monkeys made choices about where to look and reach. We decoded the activity to predict the choices. Ensembles of neurons that displayed coherent patterns of spiking activity extending across the IPS--'dual-coherent' ensembles--predicted movement choices substantially earlier than other neuronal ensembles. We propose that dual-coherent spike timing reflects interactions between groups of neurons that are important to decisions.
选择并规划行动会调动大脑多个区域的神经元,但神经元集群如何协同工作以做出决策尚不清楚。时间上连贯的神经活动可能提供一种机制,通过该机制神经元协调其活动来做出决策。如果是这样,作为连贯集群一部分的神经元可能会在其他神经元集群之前预测运动选择。我们记录了猴子在做出注视和伸手位置选择时,后顶叶皮质顶内沟(IPS)外侧和内侧脑回的神经元活动。我们对该活动进行解码以预测选择。显示出跨越IPS的连贯放电活动模式的神经元集群——“双连贯”集群——比其他神经元集群更早地预测了运动选择。我们提出,双连贯的尖峰时间反映了对决策很重要的神经元群体之间的相互作用。