Supplemental Figures

2 figures in PDF format.

Files in this Data Supplement:

• Figure S1 - Spiking data were analyzed only when corresponding clusters were clearly separable from surrounding activity. Behavioral (positional) and neuronal data were recorded (Neuralynx, Bozeman, MT) as mice explored the cylindrical arena. In the above example (Neuron 1 from Figure 5), the Occupancy Maps illustrate the behavior of a mouse during exploration of two objects in the Familiar Condition, followed by exploration of a Novel Object (sessions 3 & 4) and a Novel Location (sessions 5 & 6). Neuronal data collected simultaneously are analyzed off-line using cluster cutting software MClust (A.D. Redish, University of Minnesota). The activity of individual cells are isolated using 2-dimensional plots generated from pairs of waveform measures (peak height voltage, valley voltage, and energy) taken from the wires of a single tetrode. The waveforms corresponding to clearly separable clusters (e.g., the "blue" cluster of points in the Cluster Plots) are then generated (Waveforms). The spike data corresponding to each cluster are correlated with the positional data to generate Spike Maps illustrating the neuron's activity in 2-dimensional space, as well as the mean firing and peak quintile firing rates (Firing Rates).
• Figure S2 - Rate maps illustrate low and high examples from the range of spatial information, sparseness, and coherence values observed in the open field. A) Rate maps are illustrated for neurons exhibiting low and high values for measures of spatial information, sparseness, and coherence. The value for each measure is given beneath the respective rate map. The firing rate for each neuron is included to the right of each rate map. B) Univariate scatter plots illustrate the distribution of values for spatial information, sparseness, and coherence. The bivariate scatter plot illustrates the relationship between measures of spatial information and coherence.