A Parallel Processing Model of Drosophila Olfactory Sensory Neurons and Its Biological Validation

摘要: In the past two decades, substantial amount of work characterized odorant receptors, neuroanatomy and response properties early olfactory system Drosophila melanogaster. Yet many receptors remain only partly characterized, transduction process axon hillock spiking mechanism have yet to be fully determined. The essential functionality sensory neurons (OSNs) is jointly encode both identity concentration. We model concentration by an odorant-receptor binding rate tensor modulated profile dissociation tensor, quantitatively describe ligand binding/dissociation process. To validate our modeling approach, we first propose algorithm for estimating affinity pair. then apply estimate (acetone, Or59b) using different datasets electrophysiology recordings. Second, evaluate temporal Or59b OSN acetone with a multitude stimuli, including step, ramp parabolic waveforms. further interrogate staircase white noise Lastly, pairs (methyl butyrate, (butyraldehyde, Or7a). demonstrate how biological spike generator cascade underlying fruit fly at circuit level antennae maxillary palps under scenarios. First, empirically active receptor in constant odorants count records DoOR database. graphically visualize waveform. Finally, construct, execute explore various instantiations as parallel information preprocessor open-source Fruit Fly Brain Observatory platform.