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Rename package, update copyright dates.
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lebedov committed Sep 28, 2014
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Change Log
==========

Release 0.07 - ()
-----------------
* Change package name to Time Encoding and Decoding Toolkit.

Release 0.061 - (August 6, 2012)
--------------------------------
* Documentation build bugfix.
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2 changes: 1 addition & 1 deletion INSTALL
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Prerequisites
-------------

The Time Encoding and Decoding Toolbox requires a relatively recent version of
The Time Encoding and Decoding Toolkit requires a relatively recent version of
MATLAB (e.g., R14 or later) to run.

To rebuild the documentation, the following Python packages are also
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6 changes: 3 additions & 3 deletions README.rst
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.. -*- rst -*-
Time Encoding and Decoding Toolbox
Time Encoding and Decoding Toolkit
==================================

Package Description
-------------------
The Time Encoding and Decoding Toolbox contains MATLAB implementations
The Time Encoding and Decoding Toolkit contains MATLAB 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 and
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References
----------
The algorithms implemented in this toolbox are described in the papers
The algorithms implemented in this package 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 [3]_.
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6 changes: 3 additions & 3 deletions docs/source/conf.py
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# built documents.
#
# The short X.Y version.
version = '0.061'
version = '0.07'
# The full version, including alpha/beta/rc tags.
release = '0.061'
release = '0.07'

print 'TED version: ', version, release

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# dir menu entry, description, category)
texinfo_documents = [
('index', 'TED', u'TED Documentation',
u'Lev Givon, Yiyin Zhou', 'TED', 'Time Encoding and Decoding Toolbox.',
u'Lev Givon, Yiyin Zhou', 'TED', 'Time Encoding and Decoding Toolkit.',
'Miscellaneous'),
]

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18 changes: 9 additions & 9 deletions docs/source/index.rst
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You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
Time Encoding and Decoding Toolbox
Time Encoding and Decoding Toolkit
==================================

Introduction
------------
The Time Encoding and Decoding Toolbox (TED) is a library of MATLAB
functions and demos that implement time encoding and decoding algorithms.
A `Python <http://www.python.org/>`_/`PyCUDA <http://mathema.tician.de/software/pycuda/>`_
implementation is also available from the Bionet Group's
`code repository page <http://bionet.github.io/>`_.

To get started using the toolbox, go to the :doc:`installation <install>` page and
try running the demos. Check out the :doc:`machines <machines>` page for a
The Time Encoding and Decoding Toolkit (TED) is a library of MATLAB functions
and demos that implement time encoding and decoding algorithms. A `Python
<http://www.python.org/>`_/`PyCUDA <http://mathema.tician.de/software/pycuda/>`_
implementation is also available from the Bionet Group's `code repository page
<http://bionet.github.io/>`_.

To get started using the toolkit, go to the :doc:`installation <install>` page
and try running the demos. Check out the :doc:`machines <machines>` page for a
high-level description of the time encoding and decoding routines included in
the toolbox.

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2 changes: 1 addition & 1 deletion docs/source/machines.rst
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Time Encoding and Decoding Machines
===================================

The TED Toolbox provides implementations of a range of time encoding
The TED Toolkit provides implementations of a range of time encoding
and decoding machines. Brief descriptions of these machines are
provided in the following pages, along with links to the relevant
articles that describe them in more detail and documentation
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2 changes: 1 addition & 1 deletion docs/source/publications.rst
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Publications
============

The Time Encoding and Decoding Toolbox implements algorithms from the following
The Time Encoding and Decoding Toolkit implements algorithms from the following
publications:

|lazar_time_2004|_ A.A. Lazar, **Time Encoding with an Integrate-and-Fire
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4 changes: 2 additions & 2 deletions ted/Contents.m
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% Time Encoding and Decoding Toolbox
% Time Encoding and Decoding Toolkit
%
% Asynchronous Sigma-Delta Modulator Algorithms
% asdm_decode - ASDM time decoder.
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% See also TEDDEMOS

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon
2 changes: 1 addition & 1 deletion ted/G_block_delay.m
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% j, respectively; D1 and D2 contain the delays of neurons i and j.

% Author: Eftychios A. Pnevmatikakis
% Copyright 2009-2012 Eftychios A. Pnevmatikakis
% Copyright 2009-2014 Eftychios A. Pnevmatikakis

function G = G_block_delay(tk1,tk2,d1,d2,W,dt)

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2 changes: 1 addition & 1 deletion ted/LIF_decode_S1.m
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% function for a different choice of the smoothing parameter
%
% Author: Eftychios A. Pnevmatikakis
% Copyright 2009-2012 Eftychios A. Pnevmatikakis
% Copyright 2009-2014 Eftychios A. Pnevmatikakis

t = [0:dt:dur];
RC = R*C;
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2 changes: 1 addition & 1 deletion ted/LIF_decode_S2.m
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% function for a different choice of the smoothing parameter
%
% Author: Eftychios A. Pnevmatikakis
% Copyright 2009-2012 Eftychios A. Pnevmatikakis
% Copyright 2009-2014 Eftychios A. Pnevmatikakis

t = [0:dt:dur];
RC = R*C;
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2 changes: 1 addition & 1 deletion ted/LIF_pop_decode_S1.m
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% function for a different choice of the smoothing parameter
%
% Author: Eftychios A. Pnevmatikakis
% Copyright 2009-2012 Eftychios A. Pnevmatikakis
% Copyright 2009-2014 Eftychios A. Pnevmatikakis

t = [0:dt:dur];
RC = R.*C;
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% function for a different choice of the smoothing parameter
%
% Author: Eftychios A. Pnevmatikakis
% Copyright 2009-2012 Eftychios A. Pnevmatikakis
% Copyright 2009-2014 Eftychios A. Pnevmatikakis

t = [0:dt:dur];
RC = R.*C;
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2 changes: 1 addition & 1 deletion ted/asdm_decode.m
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% recovered signal is assumed to be sampled at sampling rate 1/DT Hz.

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function u_rec = asdm_decode(s,dur,dt,bw,b,d,k)

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% specifies the number of bins used by this algorithm.

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function u_rec = asdm_decode_fast(s,dur,dt,bw,M,b,d,k)

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% the encoded signal.

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function u_rec = asdm_decode_ins(s,dur,dt,bw,b)

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2 changes: 1 addition & 1 deletion ted/asdm_decode_pop.m
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% differ from the number contributed by other neurons.

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function u_rec = asdm_decode_pop(s_list,dur,dt,bw,b_list,d_list, ...
k_list)
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2 changes: 1 addition & 1 deletion ted/asdm_decode_pop_ins.m
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% neuron may differ from the number contributed by other neurons.

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function u_rec = asdm_decode_pop_ins(s_list,dur,dt,bw,b_list)

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% integrator at the conclusion of processing U.

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function [varargout] = asdm_encode(u,dt,b,d,varargin)

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% that described in most of Prof. Lazar's papers.

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function result = asdm_recoverable(u,bw,b,d,k)

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% threshold D, bias B, and bandwidth BW (in rad/s).

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function result = asdm_recoverable_strict(u,bw,b,d,k)

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% references.

% Author: Eftychios A. Pnevmatikakis
% Copyright 2009-2012 Eftychios A. Pnevmatikakis
% Copyright 2009-2014 Eftychios A. Pnevmatikakis

function u_rec = consistent_decoding_IF_MIMO(TK,LN,t,b,d,C,N,M,delay,scale)

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% references.

% Author: Eftychios A. Pnevmatikakis
% Copyright 2009-2012 Eftychios A. Pnevmatikakis
% Copyright 2009-2014 Eftychios A. Pnevmatikakis

function u_rec = consistent_decoding_IF_ONOFF(tk1, tk2, t, b, d, C, tauf, scale)

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2 changes: 1 addition & 1 deletion ted/consistent_decoding_LIF.m
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% the Consistent Recovery paper mentioned in the toolbox references.

% Author: Eftychios A. Pnevmatikakis
% Copyright 2009-2012 Eftychios A. Pnevmatikakis
% Copyright 2009-2014 Eftychios A. Pnevmatikakis
function u_rec = consistent_decoding_LIF(tk,t,b,d,R,C)

ln = length(tk)-1;
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% specified.

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function u_rec = iaf_decode(s,dur,dt,bw,b,d,varargin)

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% specified.

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function u_rec = iaf_decode_fast(s,dur,dt,bw,M,b,d,varargin)

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% used. The capacitances are all assumed to be 1 if not specified.

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function u_rec = iaf_decode_filt_trig_pop(s,dur,dt,Omega,M,b,d,varargin)

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2 changes: 1 addition & 1 deletion ted/iaf_decode_pop.m
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% differ from the number contributed by other neurons.

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function u_rec = iaf_decode_pop(s_list,dur,dt,bw,b_list,d_list, ...
R_list,C_list)
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% sampled at sampling rate 1/DT Hz.

% Author: Eftychios A. Pnevmatikakis
% Copyright 2009-2012 Eftychios A. Pnevmatikakis
% Copyright 2009-2014 Eftychios A. Pnevmatikakis

function u_rec = iaf_decode_pop_delay(TK,LN,t,W,b,d,kd,G,N,delay,dt)

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% the last emitted spike.

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function [varargout] = iaf_encode(u,dt,b,d,varargin)

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2 changes: 1 addition & 1 deletion ted/iaf_encode_ideal_on_off.m
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% of the Consistent Recovery paper mentioned in the toolbox references.

% Author: Eftychios A. Pnevmatikakis
% Copyright 2009-2012 Eftychios A. Pnevmatikakis
% Copyright 2009-2014 Eftychios A. Pnevmatikakis

function [tk1 tk2] = iaf_encode_ideal_on_off(u,t,b,d,k,tauf,scale)

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% resistance R, capacitance C, and bandwidth W (in rad/s).
%
% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon

function res = iaf_recoverable(u,W,b,d,R,C)

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% See also TED

% Author: Lev Givon
% Copyright 2009-2012 Lev Givon
% Copyright 2009-2014 Lev Givon
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%%
% _Author: Lev Givon_
%%
% _Copyright 2009-2012 Lev Givon_
% _Copyright 2009-2014 Lev Givon_
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%%
% _Author: Lev Givon_
%%
% _Copyright 2009-2012 Lev Givon_
% _Copyright 2009-2014 Lev Givon_
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%%
% _Author: Eftychios A. Pnevmatikakis_
%%
% _Copyright 2009-2012 Lev Givon_
% _Copyright 2009-2014 Lev Givon_
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<?xml version="1.0" encoding="utf-8"?>
<demos>

<name>Time Encoding and Decoding Toolbox - Demos</name>
<name>Time Encoding and Decoding Toolkit - Demos</name>
<type>toolbox</type>
<icon>$toolbox/matlab/icons/matlabicon.gif</icon>
<description>Programs that demonstrate how to use the
Time Encoding and Decoding Toolbox.</description>
Time Encoding and Decoding Toolkit.</description>

<website></website>

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%%
% _Author: Lev Givon_
%%
% _Copyright 2009-2012 Lev Givon_
% _Copyright 2009-2014 Lev Givon_
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%%
% _Author: Lev Givon_
%%
% _Copyright 2009-2012 Lev Givon_
% _Copyright 2009-2014 Lev Givon_

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%%
% _Authors: Eftychios A. Pnevmatikakis and Robert J. Turetsky_
%%
% _Copyright 2009-2012 Eftychios A. Pnevmatikakis and Robert J. Turetsky_
% _Copyright 2009-2014 Eftychios A. Pnevmatikakis and Robert J. Turetsky_
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