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. Author manuscript; available in PMC: 2020 Aug 26.
Published in final edited form as: Neural Comput. 2019 Feb 14;31(4):710–737. doi: 10.1162/neco_a_01175

Figure 3.

Figure 3.

The dual network model described by equations (2.22) through (2.25). (A) The structure of the network. α cells (light green) implement the dual representation of the concentration vector. β cells (dark green) implement the non-negativity constraints on the concentration vector. (B) Example firing rates of alpha cells. (C) Example firing rates of beta cells. (D) Example of the firing rate model’s reconstruction (orange) of the concentration vector compared with the original concentration vector (black). (E) Correlation between the firing rate reconstruction of the concentration vector and the true concentration vector for a range of stimulus and network parameters, K and p.