A simple hypothesis regarding the recognition behaviour of crickets for con
specific songs is implemented in a dynamic simulation of spiking neurons an
d tested on a robot base. The model draws on data from cricket neurophysiol
ogy but requires only four neurons to reproduce a wide range of the observe
d behaviour. The directional response depends on relative latencies in firi
ng onset, and the 'recognition' emerges from the implicit filtering propert
ies of leaky-integrate-and-fire neurons. Experimental conditions reproduced
include tests of syllable rate preference, song from above with sound from
one side, and choice between songs. The robot produces behaviour closely c
omparable to the cricket in all but a 'split-song' condition. A number of p
roperties can be observed in the neural circuit that correspond to cricket
neurophysiology including apparent 'recognition neurons'. Limitations of th
e model, extensions and alternative models are discussed.