论文标题

时间率编码以实现尖峰神经系统中的一级位置表示

Temporal-Rate Encoding to Realize Unary Positional Representation in Spiking Neural Systems

论文作者

Zhai, Zhenduo, Akturk, Ismail

论文摘要

单一表示是简单的,容忍错误,并且需要简单的逻辑,而其延迟是一个问题。另一方面,位置表示(如二进制)是紧凑的,需要更少的空间,但对错误敏感。一个称为单位位置编码的混合表示形式降低了编码流的一元计算和长度的延迟,因此达到了位置表示的紧凑性,同时保留了一般编码的误差耐受性。在本文中,我们通过合并时间和速率编码来讨论在尖峰神经系统中进行一级位置编码的前景。

Unary representation is straightforward, error tolerant and requires simple logic while its latency is a concern. On the other hand, positional representation (like binary) is compact and requires less space, but it is sensitive to errors. A hybrid representation called unary positional encoding reduces the latency of unary computation and length of the encoded stream, thus achieves the compactness of positional representation while preserving the error tolerance of unary encoding. In this paper, we discuss the prospect of unary positional encoding in spiking neural systems by incorporating temporal and rate encoding.

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