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Analytical Models of Firing Rate Statistics in Sensory Neuroscience Experiments

Authors:
Charles Pack
Christopher Pack

Keywords: data; measurements; analytics; statistics; simulation; neuroscience; vision experiments

Abstract:
Motivated by empirical results, we develop simple Taylor Series approximations (analytics) for statistics associated with neuronal response data in sensory (e.g., vision) experiments in a laboratory setting. Such responses exhibit a non-negativity constraint and additional nonlinearities, such as “normalization”. These transformations also change correlations among neuronal responses, which are thought to limit the fidelity of sensory representations. Simulation studies and cases, where we have exact results, show that our models are accurate over a wide range of parameter values. Ignoring constraints, simple analytical expressions help explain how data quality, parameter values and sensitivities affect results.

Pages: 26 to 31

Copyright: Copyright (c) IARIA, 2019

Publication date: September 22, 2019

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-741-2

Location: Porto, Portugal

Dates: from September 22, 2019 to September 26, 2019