Rutgers Center for Cognitive Science, 152 Frelinghuysen Road, Piscataway, NJ 08854-8020, USA
Philos Trans R Soc Lond B Biol Sci. 2017 Feb 19;373(1740). doi: 10.1098/rstb.2017.0119.
After listing functional constraints on what numbers in the brain must do, I sketch the two's complement fixed-point representation of numbers because it has stood the test of time and because it illustrates the non-obvious ways in which an effective coding scheme may operate. I briefly consider its neurobiological implementation. It is easier to imagine its implementation at the cell-intrinsic molecular level, with thermodynamically stable, volumetrically minimal polynucleotides encoding the remembered numbers, than at the circuit level, with plastic synapses encoding them.This article is part of a discussion meeting issue 'The origins of numerical abilities'.
在列出大脑中的数字必须具备的功能约束条件之后，我简要介绍了数字的补码定点表示法，因为它经受住了时间的考验，并且说明了有效的编码方案可能如何运作的非明显方式。我简要考虑了它的神经生物学实现。与使用可塑性突触对其进行编码相比，在细胞内在分子水平上，使用热力学稳定、体积最小的多核苷酸对记忆中的数字进行编码更容易想象，而在电路水平上则更难想象。本文是讨论会议“数值能力的起源”的一部分。
