Python scripts used for the analysis of electrophysiological data in: β-catenin deficiency in forebrain excitatory neurons induces fear memory deficits and physiological alterations

This dataset is a supplement to the article \" β-catenin deficiency in forebrain excitatory neurons induces fear memory deficits and physiological alterations.\" The dataset comprises a suite of scripts designed to analyze the data obtained in ABF format following the execution of a series of standard electrophysiological protocols. The execution of these scripts occurs over every ABF file contained within a folder, in an unsupervised manner, methodically analyzing a series of commonly calculated futures from each protocol. , , # Python scripts used for the analysis of electrophysiological data in: β-catenin deficiency in forebrain excitatory neurons induces fear memory deficits and physiological alterations. Dataset DOI: [10.5061/dryad.kh18932pg](https://doi.org/10.5061/dryad.kh18932pg) ## Description of the data and file structure Collection of scripts used to analyze the data obtained from the various electrophysiological protocols performed as part of “β-catenin Deficiency in Forebrain Excitatory Neurons Induces Fear Memory Deficits and Physiological Alteration.s” ### Files and variables #### File: AP_Rheobase.py **Description:** Python script designed to calculate the resting membrane potential, rheobase, and the voltage at which the rheobase is reached, based on a selected sweep from a current ramp recording saved in ABF format. This analysis assumes a protocol in which epoch A contains no current injection, so its voltage corresponds to the resting membrane potential. This file analyzes all ABF-fo..., ,