Before revision:  The network separates odors via a winnerless competition network, then classifies objects by projection into a high dimensional space where a support vector machine provides more precision in classification. We build this network using biophysical models of neurons with our results showing high discrimination among inputs and exceptional robustness to noise.
After revision:  The network separates odors via a winnerless competition network, then classifies objects by projection into a high dimensional space where a support vector machine (SVM) to provide precision to the space-time separation of the output. The combined network uses biophysical models of neurons with our results showing high discrimination among inputs and exceptional robustness to noise.