Title : A model of network interactions in the olfactory bulb
Authors : Andrew Davison and Jianfeng Feng
Year : 2001
We have developed a detailed, biologically-realistic model of the mammalian olfactory bulb, incorporating the mitral and granule cells and the dendrodendritic synapses between them. The individual cell models were simplified from detailed compartmental models which had been fitted to experimental data. The amplitudes, time courses and transmission delays of the synapses were obtained from the literature. A simple method for specifying the synaptic connections was adopted, based on the limited experimental data in the literature on the statistics of connections between neurons in the bulb. Both electrical and odor stimulation were modeled. A simple model of olfactory inputs was used which captures some qualitative aspects of odor inputs but which is not necessarily quantitatively accurate. As a test of the model, a series of simulation experiments with electrical stimulation were performed and the results agreed quite closely with published experimental data which were not used in developing the model. This gives confidence that the model is capturing some features of network interactions in the real olfactory bulb. Simulation experiments with `odor' stimulation were then performed to investigate: (i) how the model response (in terms of synchronization and the spatial distribution of activity) is affected by stimulus intensity; (ii) how the response depends on connectivity parameters; and (iii) whether the network makes it easier to discriminate between similar odor inputs.