Spatio-temporal dynamics of impulse responses to figure motion in optic flow neurons

White noise techniques have been used widely to investigate sensory systems in both vertebrates and invertebrates. White noise stimuli are powerful in their ability to rapidly generate data that help the experimenter decipher the spatio-temporal dynamics of neural and behavioral responses. One type of white noise stimuli, maximal length shift register sequences (m-sequences), have recently become particularly popular for extracting response kernels in insect motion vision. We here use such m-sequences to extract the impulse responses to figure motion in hoverfly lobula plate tangential cells (LPTCs). Figure motion is behaviorally important and many visually guided animals orient towards salient features in the surroundings. We show that LPTCs respond robustly to figure motion in the receptive field. The impulse response is scaled down in amplitude when the figure size is reduced, but its time course remains unaltered. However, a low-contrast stimulus generates a slower response with a s..., , , # Spatio-temporal dynamics of impulse responses to figure motion in optic flow neurons

[https://doi.org/10.5061/dryad.dm132](https://doi.org/10.5061/dryad.dm132)

#### LeePlosOne2015

The data are organized in the same way as in the figures of the paper. They are all in Matlab format.