Stark Eran, Globerson Amir, Asher Itay, Abeles Moshe
Department of Physiology, Hadassah Medical School, Hebrew University, Jerusalem 91120, Israel.
J Neurosci. 2008 Oct 15;28(42):10618-30. doi: 10.1523/JNEUROSCI.3418-08.2008.
How distinct parameters are bound together in brain activity is unknown. Combination coding by interneuronal interactions is one possibility, but, to coordinate parameters, interactions between neuronal pairs must carry information about them. To address this issue, we recorded neural activity from multiple sites in the premotor cortices of monkeys that memorized reach direction and grasp type followed by actual prehension. We found that correlations between individual spiking neurons are generally weak and carry little information about prehension. In contrast, correlations and synchronous interactions between small groups of neurons, quantified by multiunit activity (MUA), are an order of magnitude stronger. A substantial fraction of the information carried by pairwise interactions between MUAs is about combinations of reach and grasp. This contrasts with the information carried by individual neurons and individual MUAs, which is mainly about reach and/or grasp but much less about their combinations. The main contribution of pairwise interactions to the coding of reach-grasp combinations is when animals memorize prehension parameters, consistent with an internal composite representation. The informative interactions between neuronal groups may facilitate the coordination of reach and grasp into coherent prehension.
大脑活动中不同参数是如何结合在一起的尚不清楚。通过中间神经元相互作用进行组合编码是一种可能性,但是,为了协调参数,神经元对之间的相互作用必须携带有关这些参数的信息。为了解决这个问题,我们记录了猴子运动前皮层多个部位的神经活动,这些猴子记住了伸手方向和抓握类型,随后进行实际抓握动作。我们发现,单个发放脉冲的神经元之间的相关性通常较弱,并且携带的抓握信息很少。相比之下,由多单元活动(MUA)量化的小群神经元之间的相关性和同步相互作用要强一个数量级。MUA之间成对相互作用所携带的大量信息是关于伸手和抓握的组合。这与单个神经元和单个MUA所携带的信息形成对比,后者主要是关于伸手和/或抓握,但关于它们组合的信息要少得多。成对相互作用对伸手-抓握组合编码的主要贡献在于动物记住抓握参数时,这与内部复合表征一致。神经元群之间的信息性相互作用可能有助于将伸手和抓握协调成连贯的抓握动作。