Coding of object location by heterogeneous neural populations with spatially dependent correlations in weakly electric fish
Fig 7
Modeling receptive field heterogeneities and spatially dependent spike-count correlations.
(A) Schematic of the model in which modeled neural receptive fields (left, colored curves) and spatially dependent pairwise spike-count correlations (right, grey curves) are used to calculate the spatially dependent Fisher information. (B) Fisher information visualized as a function of stimulus position for spatially dependent (SD: blue), independent (I: red) and spatially independent correlation scenarios (SI: purple). (C) Fisher information (<FI>) as a function of neural population size (averaged between -0.5 and 0.5 cm). Though quite small, the shaded error bars indicate the SEM in (B & C). Inset: Fisher information at the neural population size of 28 neurons, normalized by the Fisher information at a population size of one neuron, is significantly different for the three correlation scenarios: spatially dependent, independent, and spatially independent (Kruskal-Wallis: p = 8 · 10−17; SD—I: p = 3.3 · 10−6; SD—SI: p = 6.2 · 10−4; I—SI: p = 2.7 · 10−17). “*” indicates statistical significance.