Fig. 6: Typical neuron examples (FEF) and population analysis for FEF and SEF.
From: Integration of landmark and saccade target signals in macaque frontal cortex visual responses
First two rows a–d: analysis of two example FEF neurons. a TF(e)-preferring neuron plotted in eye coordinates. This neuron has a clear ‘hot spot’ to the left of the fovea (0,0). b The statistical analysis shows that compared with this model (red dot) most other models were statistically eliminated. c ‘Opposite’ example of a neuron that showed significantly lower residuals in LF(e) coordinates. In this case, the response field was more scattered with multiple hot-spots, and d all other models were statistically eliminated. Bottom row e, f: Percentage distribution of neurons in e FEF and f SEF. Best fits to each of the models are described in text and figure legend 5. Target-relative-to-eye [TF(e)] was the most ‘popular’ model in both structures, but in FEF landmark-relative-to-eye [LF(e)] was a close second. In other words, at least FEF was still coding landmark information.
