NeoAnalysis: a Python-based toolbox for quick electrophysiological data processing and analysis.

ABSTRACT:

Background

In a typical electrophysiological experiment, especially one that includes studying animal behavior, the data collected normally contain spikes, local field potentials, behavioral responses and other associated data. In order to obtain informative results, the data must be analyzed simultaneously with the experimental settings. However, most open-source toolboxes currently available for data analysis were developed to handle only a portion of the data and did not take into account the sorting of experimental conditions. Additionally, these toolboxes require that the input data be in a specific format, which can be inconvenient to users. Therefore, the development of a highly integrated toolbox that can process multiple types of data regardless of input data format and pe

SUBMITTER: Zhang B 

PROVIDER: S-EPMC5683334 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature