Modelling Odor Decoding in the Antennal Lobe by Combining Sequential Firing Rate Models with Bayesian Inference
Fig 7
PN and KC activity for the full response to a stimulus.
(A) Sample of four PNs’ activity throughout the full response. Left: experimental data as reported in [7]; Right: data generated by our model. The qualitative behavior of the PNs observed in experiments can be matched by our model by choosing an appropriate observation matrix. (B) Bayesian inversion of the model: Inferred KC activity as a response to the PN data generated from the full response shown in A. Each color represents a cluster of three different KCs. It can be seen that the inferred KC activity displays the three phases of the odor response, although the generative model given by Eq 1 includes only the sequential dynamics.