Temporal Features of Spike Trains in the Moth Antennal Lobe Revealed by a Comparative Time-Frequency Analysis

摘要: The discrimination of complex sensory stimuli in a noisy environment is an immense computational task. Sensory systems often encode stimulus features spatiotemporal fashion through the firing patterns individual neurons. To identify these temporal features, we have developed analysis that allows comparison statistically significant spike trains localized over multiple scales time-frequency resolution. Our approach provides original way to utilize discrete wavelet transform process instantaneous rate functions derived from trains, and select relevant coefficients statistical analysis. method uncovered within olfactory projection neuron (PN) responses moth antennal lobe coding for presence odor mixture concentration single component odorants, but not compound identities. We found mixtures evoked earlier biphasic response type PNs compared components, which led differences with their signal power spread across frequency bands (ranging 0 45.71 Hz) during time window immediately preceding behavioral latencies observed insects. Odor concentrations were coded excited both low band (2.86 5.71 trace after offset (0 2.86 high (22.86 bands. These types could particular relevance recruiting cellular activity higher brain centers such as mushroom body Kenyon cells. In contrast, neurons specialized pheromone-responsive area exhibited few stimulus-dependent features. results provide interesting insights on early insect processing introduce novel comparative train applicable variety neuronal data sets.