bionet/ted.python

Time Encoding and Decoding Toolkit for Python

Time Encoding and Decoding Toolkit

Package Description

The Time Encoding and Decoding Toolkit contains Python implementations of algorithms designed to reversibly convert digitally sampled signals to and from a time-domain representation consisting of a series of time intervals between fixed-amplitude spikes. Sample code demonstrating the use of the implementations is included.

Documentation

Package documentation is available at https://ted-python.readthedocs.org.

Development

The latest source code can be obtained from https://github.com/bionet/ted.python.

Authors & Acknowledgements

See the included AUTHORS file for more information.

License

This software is licensed under the BSD License. See the included LICENSE file for more information.

References

The algorithms implemented in this toolkit are described in the papers listed in the attached BibTeX bibliography. Further research on time domain coding and processing may be obtained from the Bionet Group publication server [1].

[1]	http://www.bionet.ee.columbia.edu/publications/

ted.python's Issues

demos import issues

asdm_demo line 17:
instead of:

import bionet.utils.gen_band_limited as g

use this:

import bionet.utils.band_limited as bl

Other non resolved imports/functions:
bpa_demo.py line 16 and 18

iaf_delay_rt_demo.py line 87 and 102
unused import line 18

trig_poly_filter_demo.py lines 111, 114 and 122(function em)

cython build problem

The bpa_cython extension doesn't build correctly with recent releases of Cython.