Because we had no a priori classification of avian communities for California, except at the broad-scale level of general habitat types (e.g., conifer, oak woodland), we used the Bray-Curtis dissimilarity matrix to group current grid cells using a hierarchical agglomerative cluster analysis based on Ward's criterion [65].
Ca, Mg, and Cr measurements (n = 4,300) were interpolated into a regular 10 × 10 km grid over Finland using a hierarchical Bayesian conditional autoregressive (CAR) model (Appendix 1), which allowed us to consider the uncertainty of each observation.
Algorithmically, using a hierarchical depth estimation has two different effects.
Effectiveness is analysed by using a hierarchical linear model.
This is in turn implies our result (5) r = e, for the optimal ratio between adjacent scales in a hierarchical, grid coding scheme for position in one dimension, using a winner-take-all decoder.
In the original submission, we used a simple model of linear summation of grid cells to make place cells to investigate the effects of grid module inactivation in a hierarchical grid system like the one we study.
This chapter discusses broker architecture and its implementation for a hierarchical grid system.
We were repeatedly asked (and are still asked during talks) how our view of a hierarchical grid code would affect readout of the grid system, perhaps via place cells, as compared to a non-hierarchical grid system of the sort proposed by Burak and Fiete.
These ablations were not specific to a given module, but we would expect in a hierarchical grid code that elimination of many contributions with small periods would decrease the precision of spatial coding that exploits grid cell responses.
