timescales

This module provides timescale simulation and fitting methods. These simulations allow the validation and comparison of different timescale estimation methods including PSD and ACF.

Dependencies

timescales is written in Python, and requires Python >= 3.6 to run.

It has the following required dependencies:

• numpy >= 1.18.5

• scipy >= 1.4.1

• spectrum >= 0.8.0

• fooof @ git+https://github.com/ryanhammonds/fooof.git@knee

• neurodsp @ git+https://github.com/neurodsp-tools/neurodsp.git@main

And the following optional dependencies:

• matplotlib >= 3.0.3

• seaborn >= 0.11.2

• statsmodels >= 0.12.2

• tqdm >= 4.62.3

Installation

Development Version

To get the current development version, first clone this repository:

$ git clone https://github.com/voytekresearch/timescale-methods

To install this cloned copy, move into the directory you just cloned, and run:

$ pip install -e .

Funding

Supported by NIH award R01 GM134363 from the NIGMS.