Department of Epileptology, University of Bonn Medical Center, Bonn, Germany.
Animal Physiology, Institute of Neurobiology, University of Tübingen, Tübingen, Germany.
Nat Hum Behav. 2023 Nov;7(11):1998-2007. doi: 10.1038/s41562-023-01709-3. Epub 2023 Oct 2.
Whether small numerical quantities are represented by a special subitizing system that is distinct from a large-number estimation system has been debated for over a century. Here we show that two separate neural mechanisms underlie the representation of small and large numbers. We performed single neuron recordings in the medial temporal lobe of neurosurgical patients judging numbers. We found a boundary in neuronal coding around number 4 that correlates with the behavioural transition from subitizing to estimation. In the subitizing range, neurons showed superior tuning selectivity accompanied by suppression effects suggestive of surround inhibition as a selectivity-increasing mechanism. In contrast, tuning selectivity decreased with increasing numbers beyond 4, characterizing a ratio-dependent number estimation system. The two systems with the coding boundary separating them were also indicated using decoding and clustering analyses. The identified small-number subitizing system could be linked to attention and working memory that show comparable capacity limitations.
是否存在一个专门的“数量子系统”用于表示小数量,而“数量估计系统”用于表示大数量,这个问题已经争论了一个多世纪。在这里,我们证明了小数量和大数量的表示是由两个独立的神经机制来实现的。我们对接受神经外科手术的患者进行了单个神经元记录,让他们判断数字。我们发现神经元编码中存在一个边界,大约在 4 左右,这与从数量子系统到数量估计系统的行为转变相吻合。在数量子系统范围内,神经元表现出了更高的调谐选择性,伴随着抑制效应,表明其作为一种选择性增强机制的周围抑制作用。相比之下,调谐选择性随着数量的增加而降低,这表明存在一种依赖比例的数量估计系统。使用解码和聚类分析也可以表明,在编码边界处存在这两个系统。所识别的小数量数量子系统可能与注意力和工作记忆有关,它们具有类似的容量限制。