Figure 2
Edge encoding cells in the goldfish lateral pallium. (a) An example of an edge encoding cell. The fish trajectory (black curve) is presented together with the location of the fish when each spike of a single cell occurred (red dots). The apparent pattern shows that this neuron was mainly active when the fish was near the edges of the tank. The waveform of the cell spiking activity is presented in Supplementary Figure S1c. (b) Firing rate map of the cell in (a). The highest spiking probabilities are concentrated at the edges. (c,d) Statistical analysis of firing near the edge of the water tank. The red arrow (d) represents the edge activity layer of the recorded neuron, and the histogram shows the result of the calculated edge activity layers of 5,000 shuffled spike trains. The comparison of the red arrow and the histogram thus represents the statistical significance of the result. (c) Spike distribution vs. distance from the edges of the cell (red curve) and shuffled data (mean and 95% confidence interval, black and green curves) (d) Edge activity layer of the recorded neuron (red arrow) compared to the shuffled data (blue histogram). The edge activity layer is defined as the distance from the edge in which 75% of spikes occurred. (e) Spike triggered average of the fish's edge distance (red) superimposed on the 95% of shuffled data spike triggered average. (f–o) Two more examples of edge cells (additional examples are presented in Supplementary Figure S2).
