作者: Kwok Ying Chong , Alberto Capurro , Salah Karout , Timothy Charles Pearce
DOI: 10.1371/JOURNAL.PONE.0029602
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摘要: Time is considered to be an important encoding dimension in olfaction, as neural populations generate odour-specific spatiotemporal responses constant stimuli. However, during pheromone mediated anemotactic search insects must discriminate specific ratios of blend components from rapidly time varying input. The dynamics intrinsic olfactory processing and those naturalistic stimuli can therefore potentially collide, thereby confounding ratiometric information. In this paper we use a computational model the macroglomerular complex insect antennal lobe study impact on information potential collision between network stimulus dynamics. We show that exhibits two different dynamical regimes depending upon connectivity pattern inhibitory interneurons (that refer fixed point attractor limit cycle attractor), which both ratio-specific trajectories projection neuron output population are reminiscent temporal patterning periodic hyperpolarisation observed neurons. compare performance corresponding codes for reporting higher centres brain. Our key finding whilst dynamically rich code faster more efficient transmitting under certain conditions it also prone interference dynamics, thus degrading input conditions. results suggest intrinsically generated provide powerful means multidimensional with high accuracy efficiency, but only when isolated This patterns activity constitutes real challenge successfully solved by nervous system faced