Please use this identifier to cite or link to this item: https://repositorio.ufrn.br/jspui/handle/123456789/25083
Title: On information metrics for spatial coding
Authors: Souza, Bryan C.
Pavão, Rodrigo
Belchior, Hindiael
Tort, Adriano B. L.
Keywords: Place cell;Place field;Spatial coding;Information;Spike train analysis;Hippocampus
Issue Date: 1-Apr-2018
Citation: Souza, B. C. et al. On information metrics for spatial coding. [s.l.], Neuroscience, v. 375, p. 62-73, abr./2018.
Portuguese Abstract: The hippocampal formation is involved in navigation, and its neuronal activity exhibits a variety of spatial correlates (e.g., place cells, grid cells). The quantification of the information encoded by spikes has been standard procedure to identify which cells have spatial correlates. For place cells, most of the established metrics derive from Shannon's mutual information (Shannon, 1948), and convey information rate in bits/s or bits/spike (Skaggs et al., 1993, 1996). Despite their widespread use, the performance of these metrics in relation to the original mutual information metric has never been investigated. In this work, using simulated and real data, we find that the current information metrics correlate less with the accuracy of spatial decoding than the original mutual information metric. We also find that the top informative cells may differ among metrics, and show a surrogate-based normalization that yields comparable spatial information estimates. Since different information metrics may identify different neuronal populations, we discuss current and alternative definitions of spatially informative cells, which affect the metric choice.
URI: https://repositorio.ufrn.br/jspui/handle/123456789/25083
Appears in Collections:ICe - Artigos publicados em periódicos

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