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Figure 1 | BMC Neuroscience

Figure 1

From: Learning experience facilitates sparse coding of new odors in a large-scale olfactory bulb model

Figure 1

(a) odor inputs 8OH, 5CHO and k7-1. (b) MC network response to odor 8OH for naïve training (left), 5CHO prior training (middle) and k7-1 training (right). (c) Network sparseness develops for different sets of prior odor training. (d) Sparseness onset time S1/2 vs. input signal correlation coefficient (corrcoef.). (e) Mean corrcoef between MCs within the network vs. input signal corrcoef. (f) Response similarity (quantified by corrcoef between MC network responses to different odor inputs) vs input signal corrcoef.

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