  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.
