Modular analysis tools for neurophysiology data

Overview

Neuroanalysis

Modular and interactive tools for analysis of neurophysiology data, with emphasis on patch-clamp electrophysiology.

  • Functions for running common analysis algorithms
    • Synaptic/calcium event detection and characterization
    • Synaptic release modeling
    • VC and CC spike detection and characterization
    • VC and CC test pulse analysis
    • Basic signal processing (filtering, baseline removal, etc.)
  • Data abstraction layer to allow adapting new data formats (see neuroanalysis/data.py)
  • Re-usable user interface elements for implementing common analysis tasks

Status

This project is early in development and does not yet have a stable API. Issues and pull requests are accepted (see CONTRIBUTING.md), but may not be reviewed or accepted on any fixed schedule.

You might also like...
Helper tools to construct probability distributions built from expert elicited data for use in monte carlo simulations.

Elicited Helper tools to construct probability distributions built from expert elicited data for use in monte carlo simulations. Credit to Brett Hoove

GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors

GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors. GWpy provides a user-f

Tools for working with MARC data in Catalogue Bridge.

catbridge_tools Tools for working with MARC data in Catalogue Bridge. Borrows heavily from PyMarc

A collection of robust and fast processing tools for parsing and analyzing web archive data.

ChatNoir Resiliparse A collection of robust and fast processing tools for parsing and analyzing web archive data. Resiliparse is part of the ChatNoir

Tools for analyzing data collected with a custom unity-based VR for insects.

unityvr Tools for analyzing data collected with a custom unity-based VR for insects. Organization: The unityvr package contains the following submodul

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

MetPy MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data. MetPy follows semantic versioni

Flenser is a simple, minimal, automated exploratory data analysis tool.

Flenser Have you ever been handed a dataset you've never seen before? Flenser is a simple, minimal, automated exploratory data analysis tool. It runs

Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.
Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

Exploratory Data Analysis for Employee Retention Dataset

Exploratory Data Analysis for Employee Retention Dataset Employee turn-over is a very costly problem for companies. The cost of replacing an employee

Comments
  • update packaging for PyPI

    update packaging for PyPI

    I want to depend on this package in a different project, but it was not on PyPI. This PR:

    • fills in setup.py with more details
    • moves misc files aside to not clutter top-level
    • gitignores build artifacts
    • extends copyright to include all recent work

    The results have been packaged and published. I'm happy to give package admin rights to anyone representing AI that wants them, or to just administer the package myself for the foreseeable future.

    opened by outofculture 1
  • Dataset refactor cherrypick

    Dataset refactor cherrypick

    This is a cherry-picked version of PR #2 (Data model work for 2p opto compatability #2) such that it includes changes for the Dataset data model refactor, but not changes for other data models (Experiment, Cell, Pair, etc) that are still in progress.

    opened by meganbkratz 0
Owner
Allen Institute
Please visit http://alleninstitute.github.io/ for more information.
Allen Institute
Universal data analysis tools for atmospheric sciences

U_analysis Universal data analysis tools for atmospheric sciences Script written in python 3. This file defines multiple functions that can be used fo

Luis Ackermann 1 Oct 10, 2021
Additional tools for particle accelerator data analysis and machine information

PyLHC Tools This package is a collection of useful scripts and tools for the Optics Measurements and Corrections group (OMC) at CERN. Documentation Au

PyLHC 3 Apr 13, 2022
Data cleaning tools for Business analysis

Datacleaning datacleaning tools for Business analysis This program is made for Vicky's work. You can use it, too. 数据清洗 该数据清洗工具是为了商业分析 这个程序是为了Vicky的工作而

Lin Jian 3 Nov 16, 2021
Tools for the analysis, simulation, and presentation of Lorentz TEM data.

ltempy ltempy is a set of tools for Lorentz TEM data analysis, simulation, and presentation. Features Single Image Transport of Intensity Equation (SI

McMorran Lab 1 Dec 26, 2022
Statistical Analysis 📈 focused on statistical analysis and exploration used on various data sets for personal and professional projects.

Statistical Analysis ?? This repository focuses on statistical analysis and the exploration used on various data sets for personal and professional pr

Andy Pham 1 Sep 3, 2022
A highly efficient and modular implementation of Gaussian Processes in PyTorch

GPyTorch GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, flexible, and modular Gaussian

null 3k Jan 2, 2023
A set of functions and analysis classes for solvation structure analysis

SolvationAnalysis The macroscopic behavior of a liquid is determined by its microscopic structure. For ionic systems, like batteries and many enzymes,

MDAnalysis 19 Nov 24, 2022
Python data processing, analysis, visualization, and data operations

Python This is a Python data processing, analysis, visualization and data operations of the source code warehouse, book ISBN: 9787115527592 Descriptio

FangWei 1 Jan 16, 2022
A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

This tutorial's purpose is to introduce Pythonistas to methods for scaling their data science and machine learning work to larger datasets and larger models, using the tools and APIs they know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

Coiled 102 Nov 10, 2022