Feb 21, 2014

Spatial Information in Large-Scale Neural Recordings

BioRxiv : the Preprint Server for Biology
Thaddeus R CybulskiKonrad P Kording

Abstract

A central issue in neural recording is that of distinguishing the activities of many neurons. Here, we develop a framework, based on Fisher information, to quantify how separable a neuron’s activity is from the activities of nearby neurons. We (1) apply this framework to model information flow and spatial distinguishability for several electrical and optical neural recording methods, (2) provide analytic expressions for information content, and (3) demonstrate potential applications of the approach. This method generalizes to many recording devices that resolve objects in space and thus may be useful in the design of next-generation scalable neural recording systems.

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Mentioned in this Paper

Neurons
Spatial Distribution
Anatomical Space Structure
Neural Stem Cells
Protein Expression

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